Alienation and the Ontology of Social Structure.
ERIC Educational Resources Information Center
Segalman, Ralph
Theoretical models of social structure are analyzed in light of modern work patterns, social affiliations, and social attitudes. It is hypothesized that previous paradigms for society were based on classic theory which analyzed the then emergent forms of social structure and relationships. Because social structures and relationships have changed,…
Inferring a District-Based Hierarchical Structure of Social Contacts from Census Data
Yu, Zhiwen; Liu, Jiming; Zhu, Xianjun
2015-01-01
Researchers have recently paid attention to social contact patterns among individuals due to their useful applications in such areas as epidemic evaluation and control, public health decisions, chronic disease research and social network research. Although some studies have estimated social contact patterns from social networks and surveys, few have considered how to infer the hierarchical structure of social contacts directly from census data. In this paper, we focus on inferring an individual’s social contact patterns from detailed census data, and generate various types of social contact patterns such as hierarchical-district-structure-based, cross-district and age-district-based patterns. We evaluate newly generated contact patterns derived from detailed 2011 Hong Kong census data by incorporating them into a model and simulation of the 2009 Hong Kong H1N1 epidemic. We then compare the newly generated social contact patterns with the mixing patterns that are often used in the literature, and draw the following conclusions. First, the generation of social contact patterns based on a hierarchical district structure allows for simulations at different district levels. Second, the newly generated social contact patterns reflect individuals social contacts. Third, the newly generated social contact patterns improve the accuracy of the SEIR-based epidemic model. PMID:25679787
Social and place-focused communities in location-based online social networks
NASA Astrophysics Data System (ADS)
Brown, Chloë; Nicosia, Vincenzo; Scellato, Salvatore; Noulas, Anastasios; Mascolo, Cecilia
2013-06-01
Thanks to widely available, cheap Internet access and the ubiquity of smartphones, millions of people around the world now use online location-based social networking services. Understanding the structural properties of these systems and their dependence upon users' habits and mobility has many potential applications, including resource recommendation and link prediction. Here, we construct and characterise social and place-focused graphs by using longitudinal information about declared social relationships and about users' visits to physical places collected from a popular online location-based social service. We show that although the social and place-focused graphs are constructed from the same data set, they have quite different structural properties. We find that the social and location-focused graphs have different global and meso-scale structure, and in particular that social and place-focused communities have negligible overlap. Consequently, group inference based on community detection performed on the social graph alone fails to isolate place-focused groups, even though these do exist in the network. By studying the evolution of tie structure within communities, we show that the time period over which location data are aggregated has a substantial impact on the stability of place-focused communities, and that information about place-based groups may be more useful for user-centric applications than that obtained from the analysis of social communities alone.
Structural Precursors to Identity Processes: The Role of Proximate Social Structures
ERIC Educational Resources Information Center
Merolla, David M.; Serpe, Richard T.; Stryker, Sheldon; Schultz, P. Wesley
2012-01-01
This research investigates how participation in college-based science-training programs increases student intention to pursue a scientific career. Using identity theory, we delineate three levels of social structure and conceptualize science-training programs as proximate social structures. Results from a sample of 892 undergraduate science…
Exploring social structure effect on language evolution based on a computational model
NASA Astrophysics Data System (ADS)
Gong, Tao; Minett, James; Wang, William
2008-06-01
A compositionality-regularity coevolution model is adopted to explore the effect of social structure on language emergence and maintenance. Based on this model, we explore language evolution in three experiments, and discuss the role of a popular agent in language evolution, the relationship between mutual understanding and social hierarchy, and the effect of inter-community communications and that of simple linguistic features on convergence of communal languages in two communities. This work embodies several important interactions during social learning, and introduces a new approach that manipulates individuals' probabilities to participate in social interactions to study the effect of social structure. We hope it will stimulate further theoretical and empirical explorations on language evolution in a social environment.
Followers are not enough: a multifaceted approach to community detection in online social networks.
Darmon, David; Omodei, Elisa; Garland, Joshua
2015-01-01
In online social media networks, individuals often have hundreds or even thousands of connections, which link these users not only to friends, associates, and colleagues, but also to news outlets, celebrities, and organizations. In these complex social networks, a 'community' as studied in the social network literature, can have very different meaning depending on the property of the network under study. Taking into account the multifaceted nature of these networks, we claim that community detection in online social networks should also be multifaceted in order to capture all of the different and valuable viewpoints of 'community.' In this paper we focus on three types of communities beyond follower-based structural communities: activity-based, topic-based, and interaction-based. We analyze a Twitter dataset using three different weightings of the structural network meant to highlight these three community types, and then infer the communities associated with these weightings. We show that interesting insights can be obtained about the complex community structure present in social networks by studying when and how these four community types give rise to similar as well as completely distinct community structure.
Social capital calculations in economic systems: Experimental study
NASA Astrophysics Data System (ADS)
Chepurov, E. G.; Berg, D. B.; Zvereva, O. M.; Nazarova, Yu. Yu.; Chekmarev, I. V.
2017-11-01
The paper describes the social capital study for a system where actors are engaged in an economic activity. The focus is on the analysis of communications structural parameters (transactions) between the actors. Comparison between transaction network graph structure and the structure of a random Bernoulli graph of the same dimension and density allows revealing specific structural features of the economic system under study. Structural analysis is based on SNA-methodology (SNA - Social Network Analysis). It is shown that structural parameter values of the graph formed by agent relationship links may well characterize different aspects of the social capital structure. The research advocates that it is useful to distinguish the difference between each agent social capital and the whole system social capital.
ERIC Educational Resources Information Center
Jen, Tsung-Hau; Lee, Che-Di; Chien, Chin-Lung; Hsu, Ying-Shao; Chen, Kuan-Ming
2013-01-01
Based on the Trends in International Mathematics and Science Study 2007 study and a follow-up national survey, data for 3,901 Taiwanese grade 8 students were analyzed using structural equation modeling to confirm a social-relation-based affection-driven model (SRAM). SRAM hypothesized relationships among students' perceived social relationships in…
Followers Are Not Enough: A Multifaceted Approach to Community Detection in Online Social Networks
2015-01-01
In online social media networks, individuals often have hundreds or even thousands of connections, which link these users not only to friends, associates, and colleagues, but also to news outlets, celebrities, and organizations. In these complex social networks, a ‘community’ as studied in the social network literature, can have very different meaning depending on the property of the network under study. Taking into account the multifaceted nature of these networks, we claim that community detection in online social networks should also be multifaceted in order to capture all of the different and valuable viewpoints of ‘community.’ In this paper we focus on three types of communities beyond follower-based structural communities: activity-based, topic-based, and interaction-based. We analyze a Twitter dataset using three different weightings of the structural network meant to highlight these three community types, and then infer the communities associated with these weightings. We show that interesting insights can be obtained about the complex community structure present in social networks by studying when and how these four community types give rise to similar as well as completely distinct community structure. PMID:26267868
The effect of excluding juveniles on apparent adult olive baboons (Papio anubis) social networks
Fedurek, Piotr; Lehmann, Julia
2017-01-01
In recent years there has been much interest in investigating the social structure of group living animals using social network analysis. Many studies so far have focused on the social networks of adults, often excluding younger, immature group members. This potentially may lead to a biased view of group social structure as multiple recent studies have shown that younger group members can significantly contribute to group structure. As proof of the concept, we address this issue by investigating social network structure with and without juveniles in wild olive baboons (Papio anubis) at Gashaka Gumti National Park, Nigeria. Two social networks including all independently moving individuals (i.e., excluding dependent juveniles) were created based on aggressive and grooming behaviour. We used knockout simulations based on the random removal of individuals from the network in order to investigate to what extent the exclusion of juveniles affects the resulting network structure and our interpretation of age-sex specific social roles. We found that juvenile social patterns differed from those of adults and that the exclusion of juveniles from the network significantly altered the resulting overall network structure. Moreover, the removal of juveniles from the network affected individuals in specific age-sex classes differently: for example, including juveniles in the grooming network increased network centrality of adult females while decreasing centrality of adult males. These results suggest that excluding juveniles from the analysis may not only result in a distorted picture of the overall social structure but also may mask some of the social roles of individuals belonging to different age-sex classes. PMID:28323851
The effect of excluding juveniles on apparent adult olive baboons (Papio anubis) social networks.
Fedurek, Piotr; Lehmann, Julia
2017-01-01
In recent years there has been much interest in investigating the social structure of group living animals using social network analysis. Many studies so far have focused on the social networks of adults, often excluding younger, immature group members. This potentially may lead to a biased view of group social structure as multiple recent studies have shown that younger group members can significantly contribute to group structure. As proof of the concept, we address this issue by investigating social network structure with and without juveniles in wild olive baboons (Papio anubis) at Gashaka Gumti National Park, Nigeria. Two social networks including all independently moving individuals (i.e., excluding dependent juveniles) were created based on aggressive and grooming behaviour. We used knockout simulations based on the random removal of individuals from the network in order to investigate to what extent the exclusion of juveniles affects the resulting network structure and our interpretation of age-sex specific social roles. We found that juvenile social patterns differed from those of adults and that the exclusion of juveniles from the network significantly altered the resulting overall network structure. Moreover, the removal of juveniles from the network affected individuals in specific age-sex classes differently: for example, including juveniles in the grooming network increased network centrality of adult females while decreasing centrality of adult males. These results suggest that excluding juveniles from the analysis may not only result in a distorted picture of the overall social structure but also may mask some of the social roles of individuals belonging to different age-sex classes.
Organizational Identity: Positioning The Coast Guard for Future Success In An Evolving Environment
2016-12-01
Security, missions, social identity, organizational identity, social network analysis, social structure , social categorization, social comparison...essence of the organization among its members.”33 In seeking to understand the current organizational identity of the Coast Guard based on...maritime domain; (4) operational and organizational structure ; (5) how the Service operates; and (6) how Coast Guard authorities, capabilities, competencies
Dynamic social community detection and its applications.
Nguyen, Nam P; Dinh, Thang N; Shen, Yilin; Thai, My T
2014-01-01
Community structure is one of the most commonly observed features of Online Social Networks (OSNs) in reality. The knowledge of this feature is of great advantage: it not only provides helpful insights into developing more efficient social-aware solutions but also promises a wide range of applications enabled by social and mobile networking, such as routing strategies in Mobile Ad Hoc Networks (MANETs) and worm containment in OSNs. Unfortunately, understanding this structure is very challenging, especially in dynamic social networks where social interactions are evolving rapidly. Our work focuses on the following questions: How can we efficiently identify communities in dynamic social networks? How can we adaptively update the network community structure based on its history instead of recomputing from scratch? To this end, we present Quick Community Adaptation (QCA), an adaptive modularity-based framework for not only discovering but also tracing the evolution of network communities in dynamic OSNs. QCA is very fast and efficient in the sense that it adaptively updates and discovers the new community structure based on its history together with the network changes only. This flexible approach makes QCA an ideal framework applicable for analyzing large-scale dynamic social networks due to its lightweight computing-resource requirement. To illustrate the effectiveness of our framework, we extensively test QCA on both synthesized and real-world social networks including Enron, arXiv e-print citation, and Facebook networks. Finally, we demonstrate the applicability of QCA in real applications: (1) A social-aware message forwarding strategy in MANETs, and (2) worm propagation containment in OSNs. Competitive results in comparison with other methods reveal that social-based techniques employing QCA as a community detection core outperform current available methods.
Dynamic Social Community Detection and Its Applications
Nguyen, Nam P.; Dinh, Thang N.; Shen, Yilin; Thai, My T.
2014-01-01
Community structure is one of the most commonly observed features of Online Social Networks (OSNs) in reality. The knowledge of this feature is of great advantage: it not only provides helpful insights into developing more efficient social-aware solutions but also promises a wide range of applications enabled by social and mobile networking, such as routing strategies in Mobile Ad Hoc Networks (MANETs) and worm containment in OSNs. Unfortunately, understanding this structure is very challenging, especially in dynamic social networks where social interactions are evolving rapidly. Our work focuses on the following questions: How can we efficiently identify communities in dynamic social networks? How can we adaptively update the network community structure based on its history instead of recomputing from scratch? To this end, we present Quick Community Adaptation (QCA), an adaptive modularity-based framework for not only discovering but also tracing the evolution of network communities in dynamic OSNs. QCA is very fast and efficient in the sense that it adaptively updates and discovers the new community structure based on its history together with the network changes only. This flexible approach makes QCA an ideal framework applicable for analyzing large-scale dynamic social networks due to its lightweight computing-resource requirement. To illustrate the effectiveness of our framework, we extensively test QCA on both synthesized and real-world social networks including Enron, arXiv e-print citation, and Facebook networks. Finally, we demonstrate the applicability of QCA in real applications: (1) A social-aware message forwarding strategy in MANETs, and (2) worm propagation containment in OSNs. Competitive results in comparison with other methods reveal that social-based techniques employing QCA as a community detection core outperform current available methods. PMID:24722164
Fine-scale genetic structure and social organization in female white-tailed deer
Christopher E. Comer; John C. Kilgo; Gino J. D' Angelo; Travis C. Glenn; Karl V. Miller
2005-01-01
Social behavior of white-tailed deer (Odocoileus virginianus) can have important management implications. The formation of matrilineal social groups among female deer has been documented and management strategies have been proposed based on this well-developed social structure. Using radiocollared (n = 17) and hunter or vehicle-killed (n = 21) does, we examined spatial...
College Education and Social Trust: An Evidence-Based Study on the Causal Mechanisms
ERIC Educational Resources Information Center
Huang, Jian; van den Brink, Henriette Maassen; Groot, Wim
2011-01-01
This paper examines the influence of college education on social trust at the individual level. Based on the literature of trust and social trust, we hypothesize that life experience/development since adulthood and perceptions of cultural/social structures are two primary channels in the causal linkage between college education and social trust.…
ERIC Educational Resources Information Center
Akenson, James E.
This paper suggests a model for the preparation of social studies teachers based on the writings of sociologist C. Wright Mills. In 1961 Mills stated that the purpose of social inquiry should be to help people understand the connection of their personal lives to the social structure, the institutional arrangements of society. Based on this…
Flores, Elaine C.; Carnero, Andres M.; Bayer, Angela M.
2014-01-01
This study aimed to evaluate the association between chronic Post-Traumatic Stress Disorder (PTSD) and both structural and cognitive social capital in adult survivors of the 2007 earthquake in Pisco, Peru. Cognitive social capital measures trust, sense of belonging and interpersonal relationships in the community and structural social capital measures group membership, support from community groups and individuals, and involvement in citizenship activities. We conducted a population-based cross-sectional study in five counties in Pisco, selecting 1012 adults through complex, multi-stage random sampling. All participants completed socio-demographic questions and validated Spanish-language versions of the Adapted Social Capital Assessment Tool (SASCAT) and the civilian PTSD checklist (PCL-C). After performing descriptive and bivariate analyses, we carried out prevalence ratio (PR) regression. The overall prevalence of chronic PTSD was 15.9% (95% CI: 12.3, 19.8), much higher than anticipated based on existing evidence. Cognitive social capital was found to be negatively associated with chronic PTSD, while no significant association was found for structural social capital. Specifically, those with high cognitive social capital had an almost two times lower prevalence of chronic PTSD (PR = 1.83, 95% CI: 1.50, 2.22) compared with those with low cognitive social capital. No independent association between structural social capital and chronic PTSD was found (PR = 1.44, 95% CI: 0.70, 2.97). In conclusion, cognitive social capital, but not structural social capital, has a protective influence on the occurrence of chronic PTSD in survivors of natural disasters. These results may have public health implications. For example, pre- and post-disaster community-based interventions that catalyze and foster dimensions of cognitive social capital may aid in ameliorating the effect of earthquakes and other natural disasters on populations with high vulnerability to such events and poor access to mental health and other support services. PMID:24560219
Entropy model of dissipative structure on corporate social responsibility
NASA Astrophysics Data System (ADS)
Li, Zuozhi; Jiang, Jie
2017-06-01
Enterprise is prompted to fulfill the social responsibility requirement by the internal and external environment. In this complex system, some studies suggest that firms have an orderly or chaotic entropy exchange behavior. Based on the theory of dissipative structure, this paper constructs the entropy index system of corporate social responsibility(CSR) and explores the dissipative structure of CSR through Brusselator model criterion. Picking up listed companies of the equipment manufacturing, the research shows that CSR has positive incentive to negative entropy and promotes the stability of dissipative structure. In short, the dissipative structure of CSR has a positive impact on the interests of stakeholders and corporate social images.
Applying Structural Systems Thinking to Frame Perspectives on Social Work Innovation
ERIC Educational Resources Information Center
Stringfellow, Erin J.
2017-01-01
Objective: Innovation will be key to the success of the Grand Challenges Initiative in social work. A structural systems framework based in system dynamics could be useful for considering how to advance innovation. Method: Diagrams using system dynamics conventions were developed to link common themes across concept papers written by social work…
Agent-Based Modeling of China's Rural-Urban Migration and Social Network Structure.
Fu, Zhaohao; Hao, Lingxin
2018-01-15
We analyze China's rural-urban migration and endogenous social network structures using agent-based modeling. The agents from census micro data are located in their rural origin with an empirical-estimated prior propensity to move. The population-scale social network is a hybrid one, combining observed family ties and locations of the origin with a parameter space calibrated from census, survey and aggregate data and sampled using a stepwise Latin Hypercube Sampling method. At monthly intervals, some agents migrate and these migratory acts change the social network by turning within-nonmigrant connections to between-migrant-nonmigrant connections, turning local connections to nonlocal connections, and adding among-migrant connections. In turn, the changing social network structure updates migratory propensities of those well-connected nonmigrants who become more likely to move. These two processes iterate over time. Using a core-periphery method developed from the k -core decomposition method, we identify and quantify the network structural changes and map these changes with the migration acceleration patterns. We conclude that network structural changes are essential for explaining migration acceleration observed in China during the 1995-2000 period.
Agent-based modeling of China's rural-urban migration and social network structure
NASA Astrophysics Data System (ADS)
Fu, Zhaohao; Hao, Lingxin
2018-01-01
We analyze China's rural-urban migration and endogenous social network structures using agent-based modeling. The agents from census micro data are located in their rural origin with an empirical-estimated prior propensity to move. The population-scale social network is a hybrid one, combining observed family ties and locations of the origin with a parameter space calibrated from census, survey and aggregate data and sampled using a stepwise Latin Hypercube Sampling method. At monthly intervals, some agents migrate and these migratory acts change the social network by turning within-nonmigrant connections to between-migrant-nonmigrant connections, turning local connections to nonlocal connections, and adding among-migrant connections. In turn, the changing social network structure updates migratory propensities of those well-connected nonmigrants who become more likely to move. These two processes iterate over time. Using a core-periphery method developed from the k-core decomposition method, we identify and quantify the network structural changes and map these changes with the migration acceleration patterns. We conclude that network structural changes are essential for explaining migration acceleration observed in China during the 1995-2000 period.
Making Democracy Work Better: Mediating Structures, Social Capital, and the Democratic Prospect.
ERIC Educational Resources Information Center
Couto, Richard A.
This book explores relationships among democracy, social capital, and community-based mediating structures, focusing on Appalachia because of the obvious failures of market capitalism there. It suggests that mediating structures protect communities from the savage side of market capitalism and promote the democratic prospect by increasing and…
Faith-Based Human Services Initiatives: Considerations for Social Work Practice and Theory
ERIC Educational Resources Information Center
Tangenberg, Kathleen M.
2005-01-01
Faith-based human services initiatives present numerous challenges to professional social work. This article explores ways a theoretical integration of ecosystems and structuration perspectives may help social workers navigate complex ideological and practical implications of changing service delivery policies. The article highlights diversity…
[A quantitative approach to sports training-adapted social determinants concerning sport].
Alvis-Gómez, Martina K; Neira-Tolosa, Nury A
2013-01-01
Identifying and quantitatively analysing social determinants affecting disabled teenagers' inclusion/exclusion in high-performance sports. This was a descriptive cross-sectional study involving 19 12- to 19-year-old athletes suffering physical and sensory disability and 17 staff from the District Institute of Recreation and Sport. Likert-type rating scales were used, based on four analysis categories, i.e. social structure, socio-economic, educational and living condition determinants. Social inequity pervades the national paralympic sports' system. This is because 74 % of individuals only become recognised as sportspeople when they have obtained meritorious results in set competition without appropriate conditions having been previously provided by such paralympic sports institution to enable them to overcome structural and intermediate barriers. The social structure imposed on district-based paralympic sport stigmatises individuals regarding their individual abilities, affects their empowerment and freedom due to the discrimination experienced by disabled teenagers regarding their competitive achievements.
ERIC Educational Resources Information Center
Warshow, Joyce P.; Bepko, Raymond A.
Seventeen intermediate level classes for the educable mentally retarded were involved in an investigation of the factor structure of the Social Learning Environment Rating Scale (SLERS), an instrument designed to quantify teacher-student behavior based on the Social Learning Curriculum (SLC). The 17 classes were observed implementing six…
Social determinants of disability-based disadvantage in Solomon islands.
Gartrell, Alexandra; Jennaway, Megan; Manderson, Lenore; Fangalasuu, Judy; Dolaiano, Simon
2018-04-01
Development discourse widely recognises that disability is the result of economic and social processes and structures that fail to accommodate persons with disabilities. Empirical work on the relationship between disability and poverty however, conceptualize poverty through an economic resource lens in high-income countries. To address this conceptual gap this article uses a social determinants of health perspective to examine how socio-cultural, economic and political contexts shape disability-based disadvantage. This article draws upon ethnographic research and supplementary data collected using rapid assessment techniques in Solomon Islands. Findings suggest that the disability-poverty nexus and inequalities in health, wellbeing and quality of life must be understood within broader patterns of social vulnerability that are institutionalised in landownership and patterns of descent, gendered power relations and disability specific stigmas that preclude social and productive engagement . This article demonstrates how a social determinant of health perspective that closely examines lived experiences of disability provides critical analytical insights into the structural mechanisms that constitute disability-based disadvantage. This article provides foundation knowledge on which policies and further research to promote disability-inclusion and equity can be based.
Social significance of community structure: Statistical view
NASA Astrophysics Data System (ADS)
Li, Hui-Jia; Daniels, Jasmine J.
2015-01-01
Community structure analysis is a powerful tool for social networks that can simplify their topological and functional analysis considerably. However, since community detection methods have random factors and real social networks obtained from complex systems always contain error edges, evaluating the significance of a partitioned community structure is an urgent and important question. In this paper, integrating the specific characteristics of real society, we present a framework to analyze the significance of a social community. The dynamics of social interactions are modeled by identifying social leaders and corresponding hierarchical structures. Instead of a direct comparison with the average outcome of a random model, we compute the similarity of a given node with the leader by the number of common neighbors. To determine the membership vector, an efficient community detection algorithm is proposed based on the position of the nodes and their corresponding leaders. Then, using a log-likelihood score, the tightness of the community can be derived. Based on the distribution of community tightness, we establish a connection between p -value theory and network analysis, and then we obtain a significance measure of statistical form . Finally, the framework is applied to both benchmark networks and real social networks. Experimental results show that our work can be used in many fields, such as determining the optimal number of communities, analyzing the social significance of a given community, comparing the performance among various algorithms, etc.
Measuring emotion socialization in schools.
Horner, Christy G; Wallace, Tanner L
2013-10-01
Understanding how school personnel can best support students' development of communication skills around feelings is critical to long-term health outcomes. The measurement of emotion socialization in schools facilitates future research in this area; we review existing measures of emotion socialization to assess their applicability to school-based health studies. A content analysis of four emotion socialization measures was conducted. Inclusion criteria included: high frequency of use in prior research, established documentation of validity and reliability, and sufficient description of measurement procedures. Four dimensions emerged as particularly salient to a measure's future relevance and applicability to school-based health studies: (1) methods of measurement; (2) mode and agent of socialization; (3) type of emotion; and (4) structure versus function of socializing behavior. Future measurement strategies should address (1) the structures of emotion socializing processes; (2) diverse socializing agents such as teachers, peers, and administrators; (3) the intended functions of such processes; (4) student perceptions of and responses to such processes; and (5) the complex interactions of these factors across contexts. Strategies attending to these components will permit future studies of school-based emotion socializing processes to determine how they enhance health and reduce health risks. © 2013, American School Health Association.
Responses of bat social groups to roost loss: More questions than answers
Silvis, Alexander; Abaid, Nicole; Ford, W. Mark; Britzke, Eric R.; Ortega, Jorge
2016-01-01
Though characterization of, and understanding determinants of, social structure in bats is increasing, little is known about how bat social groups respond to disturbance resulting in roost loss. Given that many species of bats roost in ephemeral or transitory resources such as plants, it is clear that bat social groups can tolerate some level of roost loss. Understanding responses of bat social groups to roost loss can provide insight into social structure that have applied conservation use. Herein, we review the existing literature on the effects of disturbance on bat social groups, and present a parameterizable agent-based model that can be used to explore the relationships among roost dynamics, population dynamics, and social behavior.
Measuring the Social Relations: Social Distance in Social Structure --- a Study of Prison Community
NASA Astrophysics Data System (ADS)
Pabjan, B.
2005-08-01
Social relations and their influence on various phenomena are one of the key issues not only in sociology. The crucial problem, however, is how to measure the social relations and their implications in society. We try to adapt a physical perspective to the ``typical'' sociological analysis and to measure the qualitative nature of human community adapting the category of social distance. This category is used to explore the properties of social relations in the structure and the communication system of prison community. The issues that are discussed: the specific properties of social relations as the constitutive factors for different type of group structure and type of communication. How the elementary social networks (short-range group structures) form the dynamics of prison community? What is the role of the numerical force of the group for prison community? Is there the interplay between the microstructures and macrostructures? The work is based on our research carried out in 17 prisons in Poland in 2003, 2004 and 2005. There were about 2000 prisoners in the sample.
Yang, Xun; Kendrick, Keith Maurice; Wu, Qizhu; Chen, Taolin; Lama, Sunima; Cheng, Bochao; Li, Shiguang; Huang, Xiaoqi; Gong, Qiyong
2013-01-01
Shyness and social anxiety are correlated to some extent and both are associated with hyper-responsivity to social stimuli in the frontal cortex and limbic system. However to date no studies have investigated whether common structural and functional connectivity differences in the brain may contribute to these traits. We addressed this issue in a cohort of 61 healthy adult subjects. Subjects were first assessed for their levels of shyness (Cheek and Buss Shyness scale) and social anxiety (Liebowitz Social Anxiety scale) and trait anxiety. They were then given MRI scans and voxel-based morphometry and seed-based, resting-state functional connectivity analysis investigated correlations with shyness and anxiety scores. Shyness scores were positively correlated with gray matter density in the cerebellum, bilateral superior temporal gyri and parahippocampal gyri and right insula. Functional connectivity correlations with shyness were found between the superior temporal gyrus, parahippocampal gyrus and the frontal gyri, between the insula and precentral gyrus and inferior parietal lobule, and between the cerebellum and precuneus. Additional correlations were found for amygdala connectivity with the medial frontal gyrus, superior frontal gyrus and inferior parietal lobule, despite the absence of any structural correlation. By contrast no structural or functional connectivity measures correlated with social or trait anxiety. Our findings show that shyness is specifically associated with structural and functional connectivity changes in cortical and limbic regions involved with processing social stimuli. These associations are not found with social or trait anxiety in healthy subjects despite some behavioral correlations with shyness.
Rose, Paul E; Croft, Darren P
2018-05-01
An appropriate social environment for species held in captivity is key for ensuring both good welfare and reproductive performance. Species with a complex social structure may suffer if their social requirements are not taken into consideration as part of management and husbandry strategies. Here we aim to understand the drivers of social structure, and the link between social structure and reproduction in a flock of 281 greater flamingos (Phoenicopterus roseus) at WWT Slimbridge Wetland Centre. Proximity-based associations between birds were measured three and four times per day (depending upon season and husbandry) from 2012 to 2016. To determine the effect of reproductive activity on social structure, display and nesting behaviour were also recorded for the 2015 breeding season (April-July). Results showed that birds displayed a wider range of social relationships, and that affiliations within the flock were not random. This flamingo flock was differentiated into discrete subgroups, and social structure was stable across some years, but not over all seasons. Social bonds were more consistent across seasons into the nesting period rather than outside of it. During breeding, not all birds that displayed built a nest, and not all displaying birds nested. Future research should further investigate differences in display and nesting patterns within a flock, and determine how the social structure of large flocks compares to smaller flocks of this species. Comparing captive data to information on wild bird sociality would be relevant to highlight any differences in patterns of assortment and connectivity. Copyright © 2018 Elsevier B.V. All rights reserved.
Reinforced communication and social navigation: Remember your friends and remember yourself
NASA Astrophysics Data System (ADS)
Mirshahvalad, A.; Rosvall, M.
2011-09-01
In social systems, people communicate with each other and form groups based on their interests. The pattern of interactions, the network, and the ideas that flow on the network naturally evolve together. Researchers use simple models to capture the feedback between changing network patterns and ideas on the network, but little is understood about the role of past events in the feedback process. Here, we introduce a simple agent-based model to study the coupling between peoples’ ideas and social networks, and better understand the role of history in dynamic social networks. We measure how information about ideas can be recovered from information about network structure and, the other way around, how information about network structure can be recovered from information about ideas. We find that it is, in general, easier to recover ideas from the network structure than vice versa.
Factor structure of a standards-based inventory of competencies in social work with groups.
Macgowan, Mark J; Dillon, Frank R; Spadola, Christine E
2018-01-01
This study extends previous findings on a measure of competencies based on Standards for Social Work Practice with Groups. The Inventory of Competencies in Social Work with Groups (ICSWG) measures confidence in performing the Standards. This study examines the latent structure of the Inventory, while illuminating the underlying structure of the Standards. A multinational sample of 586 persons completed the ICSWG. Exploratory factor analysis (EFA), reliability estimates, standard error of measurement estimates, and a range of validity tests were conducted. The EFA yielded a six-factor solution consisting of core values, mutuality/connectivity, collaboration, and three phases of group development (planning, beginnings/middles, endings). The alphas were .98 for the scale and ranged from .85 to .95 for the subscales. Correlations between the subscales and validators supported evidence of construct validity. The findings suggest key group work domains that should be taught and practiced in social work with groups.
Jiang, Ling; Yang, Christopher C
2017-09-01
The rapid growth of online health social websites has captured a vast amount of healthcare information and made the information easy to access for health consumers. E-patients often use these social websites for informational and emotional support. However, health consumers could be easily overwhelmed by the overloaded information. Healthcare information searching can be very difficult for consumers, not to mention most of them are not skilled information searcher. In this work, we investigate the approaches for measuring user similarity in online health social websites. By recommending similar users to consumers, we can help them to seek informational and emotional support in a more efficient way. We propose to represent the healthcare social media data as a heterogeneous healthcare information network and introduce the local and global structural approaches for measuring user similarity in a heterogeneous network. We compare the proposed structural approaches with the content-based approach. Experiments were conducted on a dataset collected from a popular online health social website, and the results showed that content-based approach performed better for inactive users, while structural approaches performed better for active users. Moreover, global structural approach outperformed local structural approach for all user groups. In addition, we conducted experiments on local and global structural approaches using different weight schemas for the edges in the network. Leverage performed the best for both local and global approaches. Finally, we integrated different approaches and demonstrated that hybrid method yielded better performance than the individual approach. The results indicate that content-based methods can effectively capture the similarity of inactive users who usually have focused interests, while structural methods can achieve better performance when rich structural information is available. Local structural approach only considers direct connections between nodes in the network, while global structural approach takes the indirect connections into account. Therefore, the global similarity approach can deal with sparse networks and capture the implicit similarity between two users. Different approaches may capture different aspects of the similarity relationship between two users. When we combine different methods together, we could achieve a better performance than using each individual method. Copyright © 2017 Elsevier B.V. All rights reserved.
Banks, Sam C; Blyton, Michaela D J; Blair, David; McBurney, Lachlan; Lindenmayer, David B
2012-02-01
Environmental disturbance is predicted to play a key role in the evolution of animal social behaviour. This is because disturbance affects key factors underlying social systems, such as demography, resource availability and genetic structure. However, because natural disturbances are unpredictable there is little information on their effects on social behaviour in wild populations. Here, we investigated how a major wildfire affected cooperation (sharing of hollow trees) by a hollow-dependent marsupial. We based two alternative social predictions on the impacts of fire on population density, genetic structure and resources. We predicted an adaptive social response from previous work showing that kin selection in den-sharing develops as competition for den resources increases. Thus, kin selection should occur in burnt areas because the fire caused loss of the majority of hollow-bearing trees, but no detectable mortality. Alternatively, fire may have a disruptive social effect, whereby postfire home range-shifts 'neutralize' fine-scale genetic structure, thereby removing opportunities for kin selection between neighbours. Both predictions occurred: the disruptive social effect in burnt habitat and the adaptive social response in adjacent unburnt habitat. The latter followed a massive demographic influx to unburnt 'refuge' habitat that increased competition for dens, leading to a density-related kin selection response. Our results show remarkable short-term plasticity of animal social behaviour and demonstrate how the social effects of disturbance extend into undisturbed habitat owing to landscape-scale demographic shifts. We predicted long-term changes in kinship-based cooperative behaviour resulting from the genetic and resource impacts of forecast changes to fire regimes in these forests. © 2011 Blackwell Publishing Ltd.
Windsor, Tim D; Rioseco, Pilar; Fiori, Katherine L; Curtis, Rachel G; Booth, Heather
2016-01-01
Social relationships are multifaceted, and different social network components can operate via different processes to influence well-being. This study examined associations of social network structure and relationship quality (positive and negative social exchanges) with mental health in midlife and older adults. The focus was on both direct associations of network structure and relationship quality with mental health, and whether these social network attributes moderated the association of self-rated health (SRH) with mental health. Analyses were based on survey data provided by 2001 (Mean age = 65, SD = 8.07) midlife and older adults. We used Latent Class Analysis (LCA) to classify participants into network types based on network structure (partner status, network size, contact frequency, and activity engagement), and used continuous measures of positive and negative social exchanges to operationalize relationship quality. Regression analysis was used to test moderation. LCA revealed network types generally consistent with those reported in previous studies. Participants in more diverse networks reported better mental health than those categorized into a restricted network type after adjustment for age, sex, education, and employment status. Analysis of moderation indicated that those with poorer SRH were less likely to report poorer mental health if they were classified into more diverse networks. A similar moderation effect was also evident for positive exchanges. The findings suggest that both quantity and quality of social relationships can play a role in buffering against the negative implications of physical health decline for mental health.
Obstacle avoidance in social groups: new insights from asynchronous models
Croft, Simon; Budgey, Richard; Pitchford, Jonathan W.; Wood, A. Jamie
2015-01-01
For moving animals, the successful avoidance of hazardous obstacles is an important capability. Despite this, few models of collective motion have addressed the relationship between behavioural and social features and obstacle avoidance. We develop an asynchronous individual-based model for social movement which allows social structure within groups to be included. We assess the dynamics of group navigation and resulting collision risk in the context of information transfer through the system. In agreement with previous work, we find that group size has a nonlinear effect on collision risk. We implement examples of possible network structures to explore the impact social preferences have on collision risk. We show that any social heterogeneity induces greater obstacle avoidance with further improvements corresponding to groups containing fewer influential individuals. The model provides a platform for both further theoretical investigation and practical application. In particular, we argue that the role of social structures within bird flocks may have an important role to play in assessing the risk of collisions with wind turbines, but that new methods of data analysis are needed to identify these social structures. PMID:25833245
Beetles, Beechnuts, and Behavior: Using Nature-based Activities To Develop Social Skills.
ERIC Educational Resources Information Center
Henderson, Kelly
This paper describes an instructional method designed to increase opportunities for students to learn and practice appropriate social skills. The strategies for development and implementation of such structured programs of nature-based and animal-based activities are based in part on a pilot program in three urban elementary and middle schools.…
Social Presence in the Web-Based Synchronous Secondary Classroom
ERIC Educational Resources Information Center
Nippard, Eric; Murphy, Elizabeth
2007-01-01
The purpose of the study reported on in this paper was to explore how teachers and students manifest social presence in the web-based synchronous secondary classroom (WBSSC). Data were collected using structured and unstructured observations of twelve online recordings of web-based synchronous classes in the province of Newfoundland and Labrador,…
Information filtering on coupled social networks.
Nie, Da-Cheng; Zhang, Zi-Ke; Zhou, Jun-Lin; Fu, Yan; Zhang, Kui
2014-01-01
In this paper, based on the coupled social networks (CSN), we propose a hybrid algorithm to nonlinearly integrate both social and behavior information of online users. Filtering algorithm, based on the coupled social networks, considers the effects of both social similarity and personalized preference. Experimental results based on two real datasets, Epinions and Friendfeed, show that the hybrid pattern can not only provide more accurate recommendations, but also enlarge the recommendation coverage while adopting global metric. Further empirical analyses demonstrate that the mutual reinforcement and rich-club phenomenon can also be found in coupled social networks where the identical individuals occupy the core position of the online system. This work may shed some light on the in-depth understanding of the structure and function of coupled social networks.
Online social activity reflects economic status
NASA Astrophysics Data System (ADS)
Liu, Jin-Hu; Wang, Jun; Shao, Junming; Zhou, Tao
2016-09-01
To characterize economic development and diagnose the economic health condition, several popular indices such as gross domestic product (GDP), industrial structure and income growth are widely applied. However, computing these indices based on traditional economic census is usually costly and resources consuming, and more importantly, following a long time delay. In this paper, we analyzed nearly 200 million users' activities for four consecutive years in the largest social network (Sina Microblog) in China, aiming at exploring latent relationships between the online social activities and local economic status. Results indicate that online social activity has a strong correlation with local economic development and industrial structure, and more interestingly, allows revealing the macro-economic structure instantaneously with nearly no cost. Beyond, this work also provides a new venue to identify risky signal in local economic structure.
Fine-scale genetic structure and social organization in female white-tailed deer.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Comer, Christopher E.; Kilgo, John C.; D'Angelo, Gino J.
Abstract: Social behavior of white-tailed deer (Odocoileus virginianus) can have important management implications. The formation of matrilineal social groups among female deer has been documented and management strategies have been proposed based on this well-developed social structure. Using radiocollared (n = 17) and hunter or vehicle-killed (n = 21) does, we examined spatial and genetic structure in white-tailed deer on a 7,000-ha portion of the Savannah River Site in the upper Coastal Plain of South Carolina, USA. We used 14 microsatellite DNA loci to calculate pairwise relatedness among individual deer and to assign doe pairs to putative relationship categories. Linearmore » distance and genetic relatedness were weakly correlated (r = –0.08, P = 0.058). Relationship categories differed in mean spatial distance, but only 60% of first-degree-related doe pairs (full sibling or mother–offspring pairs) and 38% of second-degree-related doe pairs (half sibling, grandmother–granddaughter pairs) were members of the same social group based on spatial association. Heavy hunting pressure in this population has created a young age structure among does, where the average age is <2.5 years, and <4% of does are >4.5 years old. This—combined with potentially elevated dispersal among young does—could limit the formation of persistent, cohesive social groups. Our results question the universal applicability of recently proposed models of spatial and genetic structuring in white-tailed deer, particularly in areas with differing harvest histories.« less
Opinion dynamics in a group-based society
NASA Astrophysics Data System (ADS)
Gargiulo, F.; Huet, S.
2010-09-01
Many models have been proposed to analyze the evolution of opinion structure due to the interaction of individuals in their social environment. Such models analyze the spreading of ideas both in completely interacting backgrounds and on social networks, where each person has a finite set of interlocutors. In this paper we analyze the reciprocal feedback between the opinions of the individuals and the structure of the interpersonal relationships at the level of community structures. For this purpose we define a group-based random network and we study how this structure co-evolves with opinion dynamics processes. We observe that the adaptive network structure affects the opinion dynamics process helping the consensus formation. The results also show interesting behaviors in regards to the size distribution of the groups and their correlation with opinion structure.
Embeddedness and Empathy: How the Social Network Shapes Adolescents' Social Understanding
ERIC Educational Resources Information Center
Wolfer, Ralf; Cortina, Kai S.; Baumert, Jurgen
2012-01-01
Based on theories of social-cognitive development, the present study investigated the yet unknown social structure that underlies the concept of empathy in adolescence. A total of 3.159 seventh graders (13.67 years, 56% girls) from 166 school classes participated by providing information on empathy, related psychosocial factors, and friendship…
Brain connectivity dynamics during social interaction reflect social network structure
Schmälzle, Ralf; Brook O’Donnell, Matthew; Garcia, Javier O.; Cascio, Christopher N.; Bayer, Joseph; Vettel, Jean M.
2017-01-01
Social ties are crucial for humans. Disruption of ties through social exclusion has a marked effect on our thoughts and feelings; however, such effects can be tempered by broader social network resources. Here, we use fMRI data acquired from 80 male adolescents to investigate how social exclusion modulates functional connectivity within and across brain networks involved in social pain and understanding the mental states of others (i.e., mentalizing). Furthermore, using objectively logged friendship network data, we examine how individual variability in brain reactivity to social exclusion relates to the density of participants’ friendship networks, an important aspect of social network structure. We find increased connectivity within a set of regions previously identified as a mentalizing system during exclusion relative to inclusion. These results are consistent across the regions of interest as well as a whole-brain analysis. Next, examining how social network characteristics are associated with task-based connectivity dynamics, we find that participants who showed greater changes in connectivity within the mentalizing system when socially excluded by peers had less dense friendship networks. This work provides insight to understand how distributed brain systems respond to social and emotional challenges and how such brain dynamics might vary based on broader social network characteristics. PMID:28465434
Devia, Carlos; Baker, Elizabeth A; Sanchez-Youngman, Shannon; Barnidge, Ellen; Golub, Maxine; Motton, Freda; Muhammad, Michael; Ruddock, Charmaine; Vicuña, Belinda; Wallerstein, Nina
2017-02-21
The paper examines the role of community-based participatory research (CBPR) within the context of social justice literature and practice. Two CBPR case studies addressing health inequities related to Type 2 Diabetes and Cardiovascular disease were selected from a national cross-site study assessing effective academic-community research partnerships. One CBPR partnership works with African Americans in rural Pemiscot County, Missouri and the other CBPR partnership works with African American and Latinos in urban South Bronx, New York City. Data collection included semi-structured key informant interviews and focus groups. Analysis focused on partnerships' context/history and their use of multiple justice-oriented strategies to achieve systemic and policy changes in order to address social determinants of health in their communities. Community context and history shaped each partnership's strategies to address social determinants. Four social justice approaches (identity/recognition, procedural, distributive, and structural justice) used by both partnerships were identified. These social justice approaches were employed to address underlying causes of inequitable distribution of resources and power structures, while remaining within a scientific research framework. CBPR can bridge the role of science with civic engagement and political participation, empowering community members to become political agents who integrate evidence into their social justice organizing strategies.
Chen, Huei-Yen Winnie; Donmez, Birsen
2016-06-01
With the proliferation of new mobile and in-vehicle technologies, understanding the motivations behind a driver's voluntary engagement with such technologies is crucial from a safety perspective, yet is complex. Previous literature either surveyed a large number of distractions that may be diverse, or too focuses on one particular activity, such as cell phone use. Further, earlier studies about social-psychological factors underlying driver distraction tend to focus on one or two factors in-depth, and those that examine a more comprehensive set of factors are often limited in their analyses methods. The present work considers a wide array of social-psychological factors within a structural equation model to predict their influence on a focused set of technology-based distractions. A better understanding of these facilitators can enhance the design of distraction mitigation strategies. We analysed survey responses about three technology-based driver distractions: holding phone conversations, manually interacting with cell phones, and adjusting the settings of in-vehicle technology, as well as responses on five social-psychological factors: attitude, descriptive norm, injunctive norm, technology inclination, and a risk/sensation seeking personality. Using data collected from 525 drivers (ages: 18-80), a structural equation model was built to analyse these social-psychological factors as latent variables influencing self-reported engagement in these three technology-based distractions. Self-reported engagement in technology-based distractions was found to be largely influenced by attitudes about the distractions. Personality and social norms also played a significant role, but technology inclination did not. A closer look at two age groups (18-30 and 30+) showed that the effect of social norms, especially of injunctive norm (i.e., perceived approvals), was less prominent in the 30+ age group, while personality remained a significant predictor for the 30+ age group but marginally significant for the younger group. Findings from this work provide insights into the social-psychological factors behind intentional engagement in technology-based distractions and in particular suggesting that these factors may be sensitive to demographic differences. Copyright © 2016. Published by Elsevier Ltd.
Enhancing Social Work Education through Team-Based Learning
ERIC Educational Resources Information Center
Gillespie, Judy
2012-01-01
Group learning strategies are used extensively in social work education, despite the challenges and negative outcomes regularly experienced by students and faculty. Building on principles of cooperative learning, team-based learning offers a more structured approach that maximizes the benefits of cooperative learning while also offering…
Modular and hierarchical structure of social contact networks
NASA Astrophysics Data System (ADS)
Ge, Yuanzheng; Song, Zhichao; Qiu, Xiaogang; Song, Hongbin; Wang, Yong
2013-10-01
Social contact networks exhibit overlapping qualities of communities, hierarchical structure and spatial-correlated nature. We propose a mixing pattern of modular and growing hierarchical structures to reconstruct social contact networks by using an individual’s geospatial distribution information in the real world. The hierarchical structure of social contact networks is defined based on the spatial distance between individuals, and edges among individuals are added in turn from the modular layer to the highest layer. It is a gradual process to construct the hierarchical structure: from the basic modular model up to the global network. The proposed model not only shows hierarchically increasing degree distribution and large clustering coefficients in communities, but also exhibits spatial clustering features of individual distributions. As an evaluation of the method, we reconstruct a hierarchical contact network based on the investigation data of a university. Transmission experiments of influenza H1N1 are carried out on the generated social contact networks, and results show that the constructed network is efficient to reproduce the dynamic process of an outbreak and evaluate interventions. The reproduced spread process exhibits that the spatial clustering of infection is accordant with the clustering of network topology. Moreover, the effect of individual topological character on the spread of influenza is analyzed, and the experiment results indicate that the spread is limited by individual daily contact patterns and local clustering topology rather than individual degree.
ERIC Educational Resources Information Center
Carlbring, Per; Furmark, Tomas; Steczko, Johan; Ekselius, Lisa; Andersson, Gerhard
2006-01-01
This study evaluated a 9-week Internet-based self-help program for people suffering from social phobia. After confirming the diagnosis with a structured clinical interview for the "DSM-IV" (SCID) by telephone, 26 participants were treated with a multimodal treatment package based on cognitive behavioural therapy plus weekly therapist…
Lee, I-Ching; Pratto, Felicia; Johnson, Blair T.
2011-01-01
A meta-analysis examined the extent to which socio-structural and psycho-cultural characteristics of societies correspond with how much gender and ethnic/racial groups differ on their support of group-based hierarchy. Robustly, women opposed group-based hierarchy more than men did and members of lower-power ethnic/racial groups opposed group-based hierarchy more than members of higher-power ethnic/racial groups. As predicted by social dominance theory, gender differences were larger, more stable, and less variable from sample to sample than differences between ethnic/racial groups. Subordinate gender and ethnic/racial group members disagreed more with dominants in their views of group-based hierarchy in societies that can be considered more liberal and modern (e.g., emphasizing individualism and change from traditions), as well as in societies that enjoyed greater gender equality. The relations between gender and ethnic/racial groups are discussed and implications are developed for social dominance theory, social role theory and biosocial theory, social identity theory, system justification theory, realistic group conflict theory and relative deprivation theory. PMID:22023142
Animal social networks as substrate for cultural behavioural diversity.
Whitehead, Hal; Lusseau, David
2012-02-07
We used individual-based stochastic models to examine how social structure influences the diversity of socially learned behaviour within a non-human population. For continuous behavioural variables we modelled three forms of dyadic social learning, averaging the behavioural value of the two individuals, random transfer of information from one individual to the other, and directional transfer from the individual with highest behavioural value to the other. Learning had potential error. We also examined the transfer of categorical behaviour between individuals with random directionality and two forms of error, the adoption of a randomly chosen existing behavioural category or the innovation of a new type of behaviour. In populations without social structuring the diversity of culturally transmitted behaviour increased with learning error and population size. When the populations were structured socially either by making individuals members of permanent social units or by giving them overlapping ranges, behavioural diversity increased with network modularity under all scenarios, although the proportional increase varied considerably between continuous and categorical behaviour, with transmission mechanism, and population size. Although functions of the form e(c)¹(m)⁻(c)² + (c)³(Log(N)) predicted the mean increase in diversity with modularity (m) and population size (N), behavioural diversity could be highly unpredictable both between simulations with the same set of parameters, and within runs. Errors in social learning and social structuring generally promote behavioural diversity. Consequently, social learning may be considered to produce culture in populations whose social structure is sufficiently modular. Copyright © 2011 Elsevier Ltd. All rights reserved.
Friend suggestion in social network based on user log
NASA Astrophysics Data System (ADS)
Kaviya, R.; Vanitha, M.; Sumaiya Thaseen, I.; Mangaiyarkarasi, R.
2017-11-01
Simple friend recommendation algorithms such as similarity, popularity and social aspects is the basic requirement to be explored to methodically form high-performance social friend recommendation. Suggestion of friends is followed. No tags of character were followed. In the proposed system, we use an algorithm for network correlation-based social friend recommendation (NC-based SFR).It includes user activities like where one lives and works. A new friend recommendation method, based on network correlation, by considering the effect of different social roles. To model the correlation between different networks, we develop a method that aligns these networks through important feature selection. We consider by preserving the network structure for a more better recommendations so that it significantly improves the accuracy for better friend-recommendation.
Social re-orientation and brain development: An expanded and updated view.
Nelson, Eric E; Jarcho, Johanna M; Guyer, Amanda E
2016-02-01
Social development has been the focus of a great deal of neuroscience based research over the past decade. In this review, we focus on providing a framework for understanding how changes in facets of social development may correspond with changes in brain function. We argue that (1) distinct phases of social behavior emerge based on whether the organizing social force is the mother, peer play, peer integration, or romantic intimacy; (2) each phase is marked by a high degree of affect-driven motivation that elicits a distinct response in subcortical structures; (3) activity generated by these structures interacts with circuits in prefrontal cortex that guide executive functions, and occipital and temporal lobe circuits, which generate specific sensory and perceptual social representations. We propose that the direction, magnitude and duration of interaction among these affective, executive, and perceptual systems may relate to distinct sensitive periods across development that contribute to establishing long-term patterns of brain function and behavior. Published by Elsevier Ltd.
Kennedy, David P; Tucker, Joan S; Green, Harold D; Golinelli, Daniela; Ewing, Brett
2012-10-01
Homeless youth have elevated risk of HIV through sexual behavior. This project investigates the multiple levels of influence on unprotected sex among homeless youth, including social network, individual, and partner level influences. Findings are based on analyses of an exploratory, semi-structured interview (n = 40) and a structured personal network interview (n = 240) with randomly selected homeless youth in Los Angeles. Previous social network studies of risky sex by homeless youth have collected limited social network data from non-random samples and have not distinguished sex partner influences from other network influences. The present analyses have identified significant associations with unprotected sex at multiple levels, including individual, partner, and, to a lesser extent, the social network. Analyses also distinguished between youth who did or did not want to use condoms when they had unprotected sex. Implications for social network based HIV risk interventions with homeless youth are discussed.
Kennedy, David P.; Tucker, Joan S.; Green, Harold D.; Golinelli, Daniela; Ewing, Brett
2012-01-01
Homeless youth have elevated risk of HIV through sexual behavior. This project investigates the multiple levels of influence on unprotected sex among homeless youth, including social network, individual, and partner level influences. Findings are based on analyses of an exploratory, semi-structured interview (n=40) and a structured personal network interview (n=240) with randomly selected homeless youth in Los Angeles. Previous social network studies of risky sex by homeless youth have collected limited social network data from non-random samples and have not distinguished sex partner influences from other network influences. The present analyses have identified significant associations with unprotected sex at multiple levels, including individual, partner, and, to a lesser extent, the social network. Analyses also distinguished between youth who wished they used condoms after having unprotected sex and youth who did not regret having unprotected sex. Implications for social network based HIV risk interventions with homeless youth are discussed. PMID:22610421
Information Filtering on Coupled Social Networks
Nie, Da-Cheng; Zhang, Zi-Ke; Zhou, Jun-Lin; Fu, Yan; Zhang, Kui
2014-01-01
In this paper, based on the coupled social networks (CSN), we propose a hybrid algorithm to nonlinearly integrate both social and behavior information of online users. Filtering algorithm, based on the coupled social networks, considers the effects of both social similarity and personalized preference. Experimental results based on two real datasets, Epinions and Friendfeed, show that the hybrid pattern can not only provide more accurate recommendations, but also enlarge the recommendation coverage while adopting global metric. Further empirical analyses demonstrate that the mutual reinforcement and rich-club phenomenon can also be found in coupled social networks where the identical individuals occupy the core position of the online system. This work may shed some light on the in-depth understanding of the structure and function of coupled social networks. PMID:25003525
Pattiselanno, Kim; Dijkstra, Jan Kornelis; Steglich, Christian; Vollebergh, Wilma; Veenstra, René
2015-12-01
Peer cliques form an important context for the social development of adolescents. Although clique members are often similar in social status, also within cliques, status differences exist. How differences in social status between clique members are related to behaviors of its individual members is rather unknown. This study examined to what extent the relationship of individual social status (i.e., perceived popularity) with aggression and prosocial behavior depends on the level of internal clique hierarchy. The sample consists of 2674 adolescents (49.8% boys), with a mean age of 14.02. We focused specifically on physical and relational aggression, and practical and emotional support, because these behaviors have shown to be of great importance for social relationships and social standing among adolescents. The internal status hierarchy of cliques was based on the variation in individual social status between clique members (i.e., clique hierarchization) and the structure of status scores within a clique (pyramid shape, inverted pyramid, or equal distribution of social status scores) (i.e., clique status structure). The results showed that differences in aggressive and prosocial behaviors were particularly moderated by clique status structure: aggression was stronger related to individual social status in (girls') cliques where the clique status structure reflected an inverted pyramid with relatively more high status adolescents within the clique than low status peers, and prosocial behavior showed a significant relationship with individual social status, again predominantly in inverted pyramid structured (boys' and girls') cliques. Furthermore, these effects differed by types of gender cliques: the associations were found in same gender but not mixed-gender cliques. The findings stress the importance of taking into account internal clique characteristics when studying adolescent social status in relationship to aggression and prosociality.
ERIC Educational Resources Information Center
Bender, Lloyd D.; And Others
Effective rural development planning depends on facts and analysis based, not on rural averages, but on the diverse social and economic structure of rural America. Programs tailored to particular types of rural economies may be more effective than generalized programs. Because of their unique characteristics, government policies and economic…
ERIC Educational Resources Information Center
Sampson, McClain; Parrish, Danielle E.; Washburn, Micki
2018-01-01
Within the last decade, there has been a significant shift in the field of social work toward competency-based education. This article details the use of the Objective Structured Clinical Examination (OSCE) Adapted for Social Work Performance Rating Scale. We used the measure to evaluate specific practice competencies among students (n = 33)…
The Social Context of Adolescent Friendships: Parents, Peers, and Romantic Partners
ERIC Educational Resources Information Center
Flynn, Heather Kohler; Felmlee, Diane H.; Conger, Rand D.
2017-01-01
We argue that adolescent friendships flourish, or wither, within the "linked lives" of other salient social network ties. Based on structural equation modeling with data from two time points, we find that young people tend to be in high-quality friendships when they are tightly embedded in their social network and receive social support…
Social-ecological research in urban natural areas: an emergent process for integration
Michelle L. Johnson; D. S. Novem Auyeung; Nancy F. Sonti; Clara C. Pregitzer; Heather L. McMillen; Richard Hallett; Lindsay K. Campbell; Helen M. Forgione; Mina Kim; Sarah Charlop-Powers; Erika S. Svendsen
2018-01-01
Understanding the structure and function of urban landscapes requires integrating social and ecological research. Here, we integrate parallel social and ecological assessments of natural areas within New York City. We examined social data (from a rapid assessment of park use and meaning, collected at a park zone level) alongside ecological data (froma plot-based...
The roles of social factor and internet self-efficacy in nurses' web-based continuing learning.
Chiu, Yen-Lin; Tsai, Chin-Chung
2014-03-01
This study was conducted to explore the relationships among social factor, Internet self-efficacy and attitudes toward web-based continuing learning in a clinical nursing setting. The participants recruited were 244 in-service nurses from hospitals in Taiwan. Three instruments were used to assess their perceptions of social factor, Internet self-efficacy (including basic and advanced Internet self-efficacy) and attitudes toward web-based continuing learning (including perceived usefulness, perceived ease of use, affection and behavior). Structural equation modeling (SEM) was utilized to identify the hypothesized structural model. The results of this study support that social factor is a significant factor correlated to Internet self-efficacy and attitudes toward web-based continuing learning (including perceived usefulness, perceived ease of use and affection). In addition, nurses' basic Internet self-efficacy plays a key role in attitudes including perceived usefulness, perceived ease of use and affection. However, advanced self-efficacy was not correlated to any of the attitudes. The behavior dimension was not linked to social factor or Internet self-efficacy, but was linked to perceived ease of use and affection. Copyright © 2013 Elsevier Ltd. All rights reserved.
Lavergne, Chantal; Turcotte, Geneviève; Morissette, Pauline
2016-03-14
The Main dans la main initiative relies on collaboration between child protection and hospital-based social workers to help substance-abusing expectant mothers maximize their chances of caring for their newborn. The article describes the positive outcomes of this initiative for the women, based on the experiences and perception of the participants and social workers involved. A case study was conducted with 21 participants using three data sources: 1) a semi-structured interview with the mothers at two points in time; 2) a semi-structured interview with social workers; and 3) the tools of the initiative. The data were analyzed based on content condensation and data presentation. A majority of participants experienced changes in their various spheres of life: personal (positive changes in substance-abuse habits), parental (improved self-confidence as a parent, reduced stress due to the fear of losing custody of their newborn), and social/relational (improved relationships with social support network and support services). The results confirm the relevance and potential for change of a short intervention model during the perinatal period based on inter-professional collaboration with substance-abusing expectant mothers. Further research is needed to validate the hypothesis on the effectiveness of this initiative.
Social class and workplace harassment during the transition to adulthood.
McLaughlin, Heather; Uggen, Christopher; Blackstone, Amy
2008-01-01
Young disadvantaged workers are especially vulnerable to harassment due to their age and social class position. As young people enter the workforce, their experiences of, and reactions to, harassment may vary dramatically from those of older adult workers. Three case studies introduce theory and research on the relationship between social class and harassment of young workers. We suggest two mechanisms through which class may structure harassment experiences: (1) extremely vulnerable youth are directly targeted based on their social class origins, and (2) the type and condition of youth employment, which is structured by class background, indirectly affect experiences of harassment.
Random graph models of social networks.
Newman, M E J; Watts, D J; Strogatz, S H
2002-02-19
We describe some new exactly solvable models of the structure of social networks, based on random graphs with arbitrary degree distributions. We give models both for simple unipartite networks, such as acquaintance networks, and bipartite networks, such as affiliation networks. We compare the predictions of our models to data for a number of real-world social networks and find that in some cases, the models are in remarkable agreement with the data, whereas in others the agreement is poorer, perhaps indicating the presence of additional social structure in the network that is not captured by the random graph.
Implicit Social Scaling from an Institutional Perspective
ERIC Educational Resources Information Center
D'Epifanio, Giulio
2009-01-01
The methodological question concerns constructing a cardinal social index, in order to assess performances of social agents, taking into account implicit political judgments. Based on the formal structure of a Choquet's expected utility, index construction demands quantification of levels of a meaningful ordinal indicator of overall performance.…
Weeks, Justin W; Carleton, R Nicholas; Asmundson, Gordon J G; McCabe, Randi E; Antony, Martin M
2010-10-01
Previous findings suggest that social anxiety disorder may be best characterized as having a dimensional latent structure (Kollman et al., 2006; Weeks et al., 2009). We attempted to extend previous taxometric investigations of social anxiety by examining the latent structure of social anxiety disorder symptoms in a large sample comprised of social anxiety disorder patients (i.e., putative taxon members) and community residents/undergraduate respondents (i.e., putative complement class members). MAXEIG and MAMBAC were performed with indicator sets drawn from a self-report measure of social anxiety symptoms, the Social Interaction Phobia Scale (Carleton et al., 2009). MAXEIG and MAMBAC analyses, as well as comparison analyses utilizing simulated taxonic and dimensional datasets, yielded converging evidence that social anxiety disorder has a taxonic latent structure. Moreover, 100% of the confirmed social anxiety disorder patients in our overall sample were correctly assigned to the identified taxon class, providing strong support for the external validity of the identified taxon; and k-means cluster analysis results corroborated our taxometric base-rate estimates. Implications regarding the conceptualization, diagnosis, and assessment of social anxiety disorder are discussed. Copyright 2010 Elsevier Ltd. All rights reserved.
Mansyur, Carol Leler; Amick, Benjamin C; Harrist, Ronald B; Franzini, Luisa; Roberts, Robert E
2009-01-01
In a 2001 report, the U.S. National Institutes of Health called for more integration of the social sciences into health-related research, including research guided by theories and methods that take social and cultural systems into consideration. Based on a theoretical framework that integrates Hofstede's cultural dimensions with sociological theory, the authors used multilevel modeling to explore the association of culture with structural inequality and health disparities. Their results support the idea that cultural dimensions and social structure, along with economic development, may account for much of the cross-national variation in the distribution of health inequalities. Sensitivity tests also suggest that an interaction between culture and social structure may confound the relationship between income inequality and health. It is necessary to identify important cultural and social structural characteristics before we can achieve an understanding of the complex, dynamic systems that affect health, and develop culturally sensitive interventions and policies. This study takes a step toward identifying some of the relevant cultural and structural influences. More research is needed to explore the pathways leading from the sociocultural environment to health inequalities.
Occupation, Class, and Social Networks in Urban China
ERIC Educational Resources Information Center
Bian, Yanjie; Breiger, Ronald; Davis, Deborah; Galaskiewicz, Joseph
2005-01-01
China's class structure is changing dramatically in the wake of post-1978 market-oriented economic reforms. The creation of a mixed "market-socialist" economy has eroded the institutional bases of a cadre-dominated social hierarchy and created conditions for a new pattern of social stratification. Although conditions remain dynamic,…
Dimensions of Cultural Differences: Pancultural, ETIC/EMIC, and Ecological Approaches
ERIC Educational Resources Information Center
Stankov, Lazar; Lee, Jihyun
2009-01-01
We investigated the factorial structure of four major domains in social psychology (personality traits, social attitudes, values, and social norms) with an emphasis on cross-cultural differences. Three distinctive approaches--pancultural, multigroup, and multilevel--were applied to the data based on 22 measures that were collected from 2029…
Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena
NASA Astrophysics Data System (ADS)
Gleeson, James P.; O'Sullivan, Kevin P.; Baños, Raquel A.; Moreno, Yamir
2016-04-01
Online social media has greatly affected the way in which we communicate with each other. However, little is known about what fundamental mechanisms drive dynamical information flow in online social systems. Here, we introduce a generative model for online sharing behavior that is analytically tractable and that can reproduce several characteristics of empirical micro-blogging data on hashtag usage, such as (time-dependent) heavy-tailed distributions of meme popularity. The presented framework constitutes a null model for social spreading phenomena that, in contrast to purely empirical studies or simulation-based models, clearly distinguishes the roles of two distinct factors affecting meme popularity: the memory time of users and the connectivity structure of the social network.
Hawa, Roula; Underhill, Angela; Logie, Carmen; Loutfy, Mona
2018-02-01
We explored how social norms interact with beliefs and social structures (power relations, emotional relations, and gendered division of labor) to influence the experiences of South Asian women with HIV in Canada. The first author conducted semi-structured interviews, and identified five themes using thematic analysis: connection to community/religious institutions, family honor, and restrained/prohibited discussion of sexuality. These norms reproduce hegemonic masculinity; constrain women's social, relational, and economic power; and elevate HIV vulnerability. We present findings to challenge hegemonic masculinity at the international level, and of developing strategies to address both interfamily gender-based violence and racism faced by the South Asians in Canada.
ERIC Educational Resources Information Center
Milojevic, Stasa
2009-01-01
This study examines the development of nanoscience/nanotechnology over a 35 year period (1970-2004) by mapping its social and cognitive structures using social network analysis, bibliometrics and document analysis, and following their changes in time. Mapping is performed based on 580,000 journal articles, 240,000 patents and 53,000 research…
ERIC Educational Resources Information Center
Joo, Soohyung; Kipp, Margaret E. I.
2015-01-01
Introduction: This study examines the structure of Web space in the field of library and information science using multivariate analysis of social tags from the Website, Delicious.com. A few studies have examined mathematical modelling of tags, mainly examining tagging in terms of tripartite graphs, pattern tracing and descriptive statistics. This…
A new similarity measure for link prediction based on local structures in social networks
NASA Astrophysics Data System (ADS)
Aghabozorgi, Farshad; Khayyambashi, Mohammad Reza
2018-07-01
Link prediction is a fundamental problem in social network analysis. There exist a variety of techniques for link prediction which applies the similarity measures to estimate proximity of vertices in the network. Complex networks like social networks contain structural units named network motifs. In this study, a newly developed similarity measure is proposed where these structural units are applied as the source of similarity estimation. This similarity measure is tested through a supervised learning experiment framework, where other similarity measures are compared with this similarity measure. The classification model trained with this similarity measure outperforms others of its kind.
ERIC Educational Resources Information Center
Schutz, Douglas M.
2013-01-01
The prolific use of social media tools such as blogs and wikis is leading several organizations to adopt these tools. However, success of social media depends on its use by employees to share and seek knowledge. Based on a unique data set obtained from a large multi-national corporation, I examined three different aspects of knowledge seeking and…
Factor structure of the Liebowitz Social Anxiety Scale for Children and Adolescents.
Storch, Eric A; Masia-Warner, Carrie; Heidgerken, Amanda D; Fisher, Paige H; Pincus, Donna B; Liebowitz, Michael R
2006-01-01
The purpose of this study was to evaluate the factor structure of the Liebowitz Social Anxiety Scale for Children and Adolescents (LSAS-CA). The LSAS-CA was administered to 225 children and adolescents as a component of various clinical studies. In addition, other measures of psychopathology and impairment were administered to a subgroup of the sample. Confirmatory factor analyses of the social interaction and performance subscales for the anxiety and avoidance ratings yielded poor fit indices. Exploratory factor analysis supported a two-factor solution with a higher order factor for the LSAS-CA anxiety and avoidance ratings. Based on item content, factors were named Social and School Performance. The internal consistency of the factors was high and the convergent and divergent validity was supported vis-à-vis correlations with measures of depression and social anxiety, and clinician ratings of impairment and functioning. Findings suggest that the anxiety and avoidance ratings are best explained by a two-factor solution that measures social anxiety and avoidance in social and school performance interactions. This factor structure appears to be a reliable and valid framework for assessing childhood social phobia.
ERIC Educational Resources Information Center
Kapuza, A. V.; Tyumeneva, Yu. A.
2017-01-01
One of the ways of controlling for the influence of social expectations on the answers given by survey respondents is to use a social desirability scale together with the main questions. The social desirability scale, which was included in the Teaching and Learning International Survey (TALIS) international comparative study for this purpose, was…
Myneni, Sahiti; Cobb, Nathan K; Cohen, Trevor
2013-01-01
Unhealthy behaviors increase individual health risks and are a socioeconomic burden. Harnessing social influence is perceived as fundamental for interventions to influence health-related behaviors. However, the mechanisms through which social influence occurs are poorly understood. Online social networks provide the opportunity to understand these mechanisms as they digitally archive communication between members. In this paper, we present a methodology for content-based social network analysis, combining qualitative coding, automated text analysis, and formal network analysis such that network structure is determined by the content of messages exchanged between members. We apply this approach to characterize the communication between members of QuitNet, an online social network for smoking cessation. Results indicate that the method identifies meaningful theme-based social sub-networks. Modeling social network data using this method can provide us with theme-specific insights such as the identities of opinion leaders and sub-community clusters. Implications for design of targeted social interventions are discussed.
Wu, Xin; Chen, Yujie; Chen, Bing; Guan, Lili; Zhao, Yufang
2017-01-01
According to sociometer theory, self-esteem is an internal monitor of positive social bonds to others. Social exclusion can break or threaten social bonds, which might be reflected by the brain structure of social exclusion regions. Thus, self-esteem might be influenced by structurally individual differences in these regions. It has been suggested that self-esteem can be divided into personal (PSE) and collective (CSE) self-esteem and CSE can bring individuals many benefits, such as acceptance, belonging, and social support, which could further maintain or increase their PSE. Based on this, we hypothesized that CSE might moderate the relationship between structurally individual differences in social exclusion regions and PSE. Therefore, in the present study, the moderating effect of CSE on the relationships between PSE and individual differences in regional gray matter volume (rGMV) of 10 social exclusion regions from previous meta-analysis of social exclusion were investigated using voxel-based morphometry. The results showed that CSE played a moderating role in the relationship between PSE and rGMV of the left posterior cingulate cortex (PCC). Specifically, PSE was positively associated with rGMV of left PCC in lower CSE, while there was no significant relationship between PSE and rGMV of left PCC in higher CSE. Therefore, we believe that compared with a higher CSE, because of lack of acceptance, belonging, and social support from valued groups, lower CSE individuals might be more prone to be influenced by social exclusion with decreased rGMV of the left PCC, which makes them more prone to develop lower PSE. PMID:29204132
Wu, Xin; Chen, Yujie; Chen, Bing; Guan, Lili; Zhao, Yufang
2017-01-01
According to sociometer theory, self-esteem is an internal monitor of positive social bonds to others. Social exclusion can break or threaten social bonds, which might be reflected by the brain structure of social exclusion regions. Thus, self-esteem might be influenced by structurally individual differences in these regions. It has been suggested that self-esteem can be divided into personal (PSE) and collective (CSE) self-esteem and CSE can bring individuals many benefits, such as acceptance, belonging, and social support, which could further maintain or increase their PSE. Based on this, we hypothesized that CSE might moderate the relationship between structurally individual differences in social exclusion regions and PSE. Therefore, in the present study, the moderating effect of CSE on the relationships between PSE and individual differences in regional gray matter volume (rGMV) of 10 social exclusion regions from previous meta-analysis of social exclusion were investigated using voxel-based morphometry. The results showed that CSE played a moderating role in the relationship between PSE and rGMV of the left posterior cingulate cortex (PCC). Specifically, PSE was positively associated with rGMV of left PCC in lower CSE, while there was no significant relationship between PSE and rGMV of left PCC in higher CSE. Therefore, we believe that compared with a higher CSE, because of lack of acceptance, belonging, and social support from valued groups, lower CSE individuals might be more prone to be influenced by social exclusion with decreased rGMV of the left PCC, which makes them more prone to develop lower PSE.
Balasubramaniam, Krishna N; Beisner, Brianne A; Berman, Carol M; De Marco, Arianna; Duboscq, Julie; Koirala, Sabina; Majolo, Bonaventura; MacIntosh, Andrew J; McFarland, Richard; Molesti, Sandra; Ogawa, Hideshi; Petit, Odile; Schino, Gabriele; Sosa, Sebastian; Sueur, Cédric; Thierry, Bernard; de Waal, Frans B M; McCowan, Brenda
2018-01-01
Among nonhuman primates, the evolutionary underpinnings of variation in social structure remain debated, with both ancestral relationships and adaptation to current conditions hypothesized to play determining roles. Here we assess whether interspecific variation in higher-order aspects of female macaque (genus: Macaca) dominance and grooming social structure show phylogenetic signals, that is, greater similarity among more closely-related species. We use a social network approach to describe higher-order characteristics of social structure, based on both direct interactions and secondary pathways that connect group members. We also ask whether network traits covary with each other, with species-typical social style grades, and/or with sociodemographic characteristics, specifically group size, sex-ratio, and current living condition (captive vs. free-living). We assembled 34-38 datasets of female-female dyadic aggression and allogrooming among captive and free-living macaques representing 10 species. We calculated dominance (transitivity, certainty), and grooming (centrality coefficient, Newman's modularity, clustering coefficient) network traits as aspects of social structure. Computations of K statistics and randomization tests on multiple phylogenies revealed moderate-strong phylogenetic signals in dominance traits, but moderate-weak signals in grooming traits. GLMMs showed that grooming traits did not covary with dominance traits and/or social style grade. Rather, modularity and clustering coefficient, but not centrality coefficient, were strongly predicted by group size and current living condition. Specifically, larger groups showed more modular networks with sparsely-connected clusters than smaller groups. Further, this effect was independent of variation in living condition, and/or sampling effort. In summary, our results reveal that female dominance networks were more phylogenetically conserved across macaque species than grooming networks, which were more labile to sociodemographic factors. Such findings narrow down the processes that influence interspecific variation in two core aspects of macaque social structure. Future directions should include using phylogeographic approaches, and addressing challenges in examining the effects of socioecological factors on primate social structure. © 2017 Wiley Periodicals, Inc.
Lee, I-Ching; Pratto, Felicia; Johnson, Blair T
2011-11-01
A meta-analysis examined the extent to which socio-structural and psycho-cultural characteristics of societies correspond with how much gender and ethnic/racial groups differ on their support of group-based hierarchy. Robustly, women opposed group-based hierarchy more than men did, and members of lower power ethnic/racial groups opposed group-based hierarchy more than members of higher power ethnic/racial groups did. As predicted by social dominance theory, gender differences were larger, more stable, and less variable from sample to sample than differences between ethnic/racial groups. Subordinate gender and ethnic/racial group members disagreed more with dominants in their views of group-based hierarchy in societies that can be considered more liberal and modern (e.g., emphasizing individualism and change from traditions), as well as in societies that enjoyed greater gender equality. The relations between gender and ethnic/racial groups are discussed, and implications are developed for social dominance theory, social role theory, biosocial theory, social identity theory, system justification theory, realistic group conflict theory, and relative deprivation theory. (PsycINFO Database Record (c) 2011 APA, all rights reserved).
Lenzi, Michela; Vieno, Alessio; Santinello, Massimo; Perkins, Douglas D
2013-06-01
According to the norms and collective efficacy model, the levels of social connectedness within a local community are a function of neighborhood structural characteristics, such as socioeconomic status and ethnic composition. The current work aims to determine whether neighborhood structural and institutional features (neighborhood wealth, percentage of immigrants, population density, opportunities for activities and meeting places) have an impact on different components of neighborhood social connectedness (intergenerational closure, trust and reciprocity, neighborhood-based friendship and personal relationships with neighbors). The study involved a representative sample of 389 early and middle adolescents aged 11-15 years old, coming from 31 Italian neighborhoods. Using hierarchical linear modeling, our findings showed that high population density, ethnic diversity, and physical and social disorder might represent obstacles for the creation of social ties within the neighborhood. On the contrary, the presence of opportunities for activities and meeting places in the neighborhood was associated with higher levels of social connectedness among residents.
Spatial Epidemic Modelling in Social Networks
NASA Astrophysics Data System (ADS)
Simoes, Joana Margarida
2005-06-01
The spread of infectious diseases is highly influenced by the structure of the underlying social network. The target of this study is not the network of acquaintances, but the social mobility network: the daily movement of people between locations, in regions. It was already shown that this kind of network exhibits small world characteristics. The model developed is agent based (ABM) and comprehends a movement model and a infection model. In the movement model, some assumptions are made about its structure and the daily movement is decomposed into four types: neighborhood, intra region, inter region and random. The model is Geographical Information Systems (GIS) based, and uses real data to define its geometry. Because it is a vector model, some optimization techniques were used to increase its efficiency.
Measuring Student Learning in Social Justice Courses: The Diversity and Oppression Scale
ERIC Educational Resources Information Center
Windsor, Liliane Cambraia; Shorkey, Clay; Battle, DuWayne
2015-01-01
The Diversity and Oppression Scale (DOS) is a standardized instrument measuring self-reported student learning about diversity and oppression based on requirements of the Council on Social Work Education. DOS was tested with social work students in 2 major North American universities. Factor structure was examined using exploratory factor analysis…
Leveraging Social Media for Learning: Communities of Practice on Flickr
ERIC Educational Resources Information Center
Smock, Andrew
2012-01-01
Research has begun to address the use of social media sites, such as Facebook and Twitter, for supplementing and enhancing classroom-based learning. However, the use of social media platforms for less formal learning has received little attention. Study One of this dissertation presents the results from semi-structured interviews with twenty-one…
Tackling Social Inequality and Exclusion in Education: From Human Capital to Capabilities
ERIC Educational Resources Information Center
Vandekinderen, Caroline; Roets, Griet; Van Keer, Hilde; Roose, Rudi
2018-01-01
Both in the international context and in Flanders (the Dutch-speaking part of Belgium), research shows that many young people experience social exclusion in relation to education. However, research evidence concerning structural social inequality in education is predominantly underpinned by an outcome-based approach, since educational policies and…
Social Networks and Community-Based Natural Resource Management
NASA Astrophysics Data System (ADS)
Lauber, T. Bruce; Decker, Daniel J.; Knuth, Barbara A.
2008-10-01
We conducted case studies of three successful examples of collaborative, community-based natural resource conservation and development. Our purpose was to: (1) identify the functions served by interactions within the social networks of involved stakeholders; (2) describe key structural properties of these social networks; and (3) determine how these structural properties varied when the networks were serving different functions. The case studies relied on semi-structured, in-depth interviews of 8 to 11 key stakeholders at each site who had played a significant role in the collaborative projects. Interview questions focused on the roles played by key stakeholders and the functions of interactions between them. Interactions allowed the exchange of ideas, provided access to funding, and enabled some stakeholders to influence others. The exchange of ideas involved the largest number of stakeholders, the highest percentage of local stakeholders, and the highest density of interactions. Our findings demonstrated the value of tailoring strategies for involving stakeholders to meet different needs during a collaborative, community-based natural resource management project. Widespread involvement of local stakeholders may be most appropriate when ideas for a project are being developed. During efforts to exert influence to secure project approvals or funding, however, involving specific individuals with political connections or influence on possible sources of funds may be critical. Our findings are consistent with past work that has postulated that social networks may require specific characteristics to meet different needs in community-based environmental management.
Schneider, Tilman C; Kappeler, Peter M; Pozzi, Luca
2016-06-01
Information on the genetic structure of animal populations can allow inferences about mechanisms shaping their social organization, dispersal, and mating system. The mongooses (Herpestidae) include some of the best-studied mammalian systems in this respect, but much less is known about their closest relatives, the Malagasy carnivores (Eupleridae), even though some of them exhibit unusual association patterns. We investigated the genetic structure of the Malagasy narrow-striped mongoose ( Mungotictis decemlineata ), a small forest-dwelling gregarious carnivore exhibiting sexual segregation. Based on mtDNA and microsatellite analyses, we determined population-wide haplotype structure and sex-specific and within-group relatedness. Furthermore, we analyzed parentage and sibship relationships and the level of reproductive skew. We found a matrilinear population structure, with several neighboring female units sharing identical haplotypes. Within-group female relatedness was significantly higher than expected by chance in the majority of units. Haplotype diversity of males was significantly higher than in females, indicating male-biased dispersal. Relatedness within the majority of male associations did not differ from random, not proving any kin-directed benefits of male sociality in this case. We found indications for a mildly promiscuous mating system without monopolization of females by males, and low levels of reproductive skew in both sexes based on parentages of emergent young. Low relatedness within breeding pairs confirmed immigration by males and suggested similarities with patterns in social mongooses, providing a starting point for further investigations of mate choice and female control of reproduction and the connected behavioral mechanisms. Our study contributes to the understanding of the determinants of male sociality in carnivores as well as the mechanisms of female competition in species with small social units.
ERIC Educational Resources Information Center
Young, Martin; Stevens, Matthew
2009-01-01
To explore the structure of gambling participation and its association with problem gambling, we draw upon Caillois's distinction between games based on competition (i.e. "agon") and those based on chance (i.e. "alea"). The idea that "alea" and "agon" are socially patterned and associated with differing…
Static and Dynamic Facial Cues Differentially Affect the Consistency of Social Evaluations.
Hehman, Eric; Flake, Jessica K; Freeman, Jonathan B
2015-08-01
Individuals are quite sensitive to others' appearance cues when forming social evaluations. Cues such as facial emotional resemblance are based on facial musculature and thus dynamic. Cues such as a face's structure are based on the underlying bone and are thus relatively static. The current research examines the distinction between these types of facial cues by investigating the consistency in social evaluations arising from dynamic versus static cues. Specifically, across four studies using real faces, digitally generated faces, and downstream behavioral decisions, we demonstrate that social evaluations based on dynamic cues, such as intentions, have greater variability across multiple presentations of the same identity than do social evaluations based on static cues, such as ability. Thus, although evaluations of intentions vary considerably across different instances of a target's face, evaluations of ability are relatively fixed. The findings highlight the role of facial cues' consistency in the stability of social evaluations. © 2015 by the Society for Personality and Social Psychology, Inc.
Steiger, V R; Brühl, A B; Weidt, S; Delsignore, A; Rufer, M; Jäncke, L; Herwig, U; Hänggi, J
2017-08-01
Social anxiety disorder (SAD) is characterized by fears of social and performance situations. Cognitive behavioral group therapy (CBGT) has in general positive effects on symptoms, distress and avoidance in SAD. Prior studies found increased cortical volumes and decreased fractional anisotropy (FA) in SAD compared with healthy controls (HCs). Thirty-three participants diagnosed with SAD attended in a 10-week CBGT and were scanned before and after therapy. We applied three neuroimaging methods-surface-based morphometry, diffusion tensor imaging and network-based statistics-each with specific longitudinal processing protocols, to investigate CBGT-induced structural brain alterations of the gray and white matter (WM). Surface-based morphometry revealed a significant cortical volume reduction (pre- to post-treatment) in the left inferior parietal cortex, as well as a positive partial correlation between treatment success (indexed by reductions in Liebowitz Social Anxiety Scale) and reductions in cortical volume in bilateral dorsomedial prefrontal cortex. Diffusion tensor imaging analysis revealed a significant increase in FA in bilateral uncinate fasciculus and right inferior longitudinal fasciculus. Network-based statistics revealed a significant increase of structural connectivity in a frontolimbic network. No partial correlations with treatment success have been found in WM analyses. For, we believe, the first time, we present a distinctive pattern of longitudinal structural brain changes after CBGT measured with three established magnetic resonance imaging analyzing techniques. Our findings are in line with previous cross-sectional, unimodal SAD studies and extent them by highlighting anatomical brain alterations that point toward the level of HCs in parallel with a reduction in SAD symptomatology.
Holden, Richard J
2011-01-01
Social structures and processes are increasingly acknowledged and studied within the human factors/ergonomics (HFE) discipline. At the same time, social phenomena are rarely the focus of HFE work, leaving a knowledge gap. The present study directly addresses social and personal normative forces that influence technology use and performance. Social and personal normative influence to use electronic health records (EHR) were investigated using semi-structured qualitative interviews with 20 attending physicians at two US hospitals. Analyses used a comprehensive framework based on leading social scientific theories and revealed numerous sources of influence, including hospital administration, colleagues, patients, clinical and professional groups, government, and one’s self. Influence was achieved through different means and invoked different psychological processes. Findings motivate a new view of professionals’ technology use as a highly social process occurring in a social context, with implications for research, policy, design, and in general the development of a robust social ergonomics. PMID:23066349
Holden, Richard J
2012-09-01
Social structures and processes are increasingly acknowledged and studied within the human factors/ergonomics (HFE) discipline. At the same time, social phenomena are rarely the focus of HFE work, leaving a knowledge gap. The present study directly addresses social and personal normative forces that influence technology use and performance. Social and personal normative influence to use electronic health records (EHR) were investigated using semi-structured qualitative interviews with 20 attending physicians at two US hospitals. Analyses used a comprehensive framework based on leading social scientific theories and revealed numerous sources of influence, including hospital administration, colleagues, patients, clinical and professional groups, government, and one's self. Influence was achieved through different means and invoked different psychological processes. Findings motivate a new view of professionals' technology use as a highly social process occurring in a social context, with implications for research, policy, design, and in general the development of a robust social ergonomics.
Social Skills Questionnaire for Argentinean College Students (SSQ-U) Development and Validation.
Morán, Valeria E; Olaz, Fabián O; Del Prette, Zilda A P
2015-11-27
In this paper we present a new instrument called Social Skills Questionnaire for Argentinean College Students (SSQ-U). Based on the adapted version of the Social Skills Inventory - Del Prette (SSI-Del Prette) (Olaz, Medrano, Greco, & Del Prette, 2009), we wrote new items for the scale, and carried out psychometric analysis to assess the validity and reliability of the instrument. In the first study, we collected evidence based on test content through expert judges who evaluated the quality and the relevance of the items. In the second and third studies, we provided validity evidence based on the internal structure of the instrument using exploratory (n = 1067) and confirmatory (n = 661) factor analysis. Results suggested a five-factor structure consistent with the dimensions of social skills, as proposed by Kelly (2002). The fit indexes corresponding to the obtained model were adequate, and composite reliability coefficients of each factor were excellent (above .75). Finally, in the fourth study, we provided evidence of convergent and discriminant validity. The obtained results allow us to conclude that the SSQ-U is the first valid and reliable instrument for measuring social skills in Argentinean college students.
Cooperation dynamics of generalized reciprocity in state-based social dilemmas
NASA Astrophysics Data System (ADS)
Stojkoski, Viktor; Utkovski, Zoran; Basnarkov, Lasko; Kocarev, Ljupco
2018-05-01
We introduce a framework for studying social dilemmas in networked societies where individuals follow a simple state-based behavioral mechanism based on generalized reciprocity, which is rooted in the principle "help anyone if helped by someone." Within this general framework, which applies to a wide range of social dilemmas including, among others, public goods, donation, and snowdrift games, we study the cooperation dynamics on a variety of complex network examples. By interpreting the studied model through the lenses of nonlinear dynamical systems, we show that cooperation through generalized reciprocity always emerges as the unique attractor in which the overall level of cooperation is maximized, while simultaneously exploitation of the participating individuals is prevented. The analysis elucidates the role of the network structure, here captured by a local centrality measure which uniquely quantifies the propensity of the network structure to cooperation by dictating the degree of cooperation displayed both at the microscopic and macroscopic level. We demonstrate the applicability of the analysis on a practical example by considering an interaction structure that couples a donation process with a public goods game.
Weighted social networks for a large scale artificial society
NASA Astrophysics Data System (ADS)
Fan, Zong Chen; Duan, Wei; Zhang, Peng; Qiu, Xiao Gang
2016-12-01
The method of artificial society has provided a powerful way to study and explain how individual behaviors at micro level give rise to the emergence of global social phenomenon. It also creates the need for an appropriate representation of social structure which usually has a significant influence on human behaviors. It has been widely acknowledged that social networks are the main paradigm to describe social structure and reflect social relationships within a population. To generate social networks for a population of interest, considering physical distance and social distance among people, we propose a generation model of social networks for a large-scale artificial society based on human choice behavior theory under the principle of random utility maximization. As a premise, we first build an artificial society through constructing a synthetic population with a series of attributes in line with the statistical (census) data for Beijing. Then the generation model is applied to assign social relationships to each individual in the synthetic population. Compared with previous empirical findings, the results show that our model can reproduce the general characteristics of social networks, such as high clustering coefficient, significant community structure and small-world property. Our model can also be extended to a larger social micro-simulation as an input initial. It will facilitate to research and predict some social phenomenon or issues, for example, epidemic transition and rumor spreading.
Unraveling the disease consequences and mechanisms of modular structure in animal social networks
Leu, Stephan T.; Cross, Paul C.; Hudson, Peter J.; Bansal, Shweta
2017-01-01
Disease risk is a potential cost of group living. Although modular organization is thought to reduce this cost in animal societies, empirical evidence toward this hypothesis has been conflicting. We analyzed empirical social networks from 43 animal species to motivate our study of the epidemiological consequences of modular structure in animal societies. From these empirical studies, we identified the features of interaction patterns associated with network modularity and developed a theoretical network model to investigate when and how subdivisions in social networks influence disease dynamics. Contrary to prior work, we found that disease risk is largely unaffected by modular structure, although social networks beyond a modular threshold experience smaller disease burden and longer disease duration. Our results illustrate that the lowering of disease burden in highly modular social networks is driven by two mechanisms of modular organization: network fragmentation and subgroup cohesion. Highly fragmented social networks with cohesive subgroups are able to structurally trap infections within a few subgroups and also cause a structural delay to the spread of disease outbreaks. Finally, we show that network models incorporating modular structure are necessary only when prior knowledge suggests that interactions within the population are highly subdivided. Otherwise, null networks based on basic knowledge about group size and local contact heterogeneity may be sufficient when data-limited estimates of epidemic consequences are necessary. Overall, our work does not support the hypothesis that modular structure universally mitigates the disease impact of group living. PMID:28373567
Unraveling the disease consequences and mechanisms of modular structure in animal social networks
Sah, Pratha; Leu, Stephan T.; Cross, Paul C.; Hudson, Peter J.; Bansal, Shweta
2017-01-01
Disease risk is a potential cost of group living. Although modular organization is thought to reduce this cost in animal societies, empirical evidence toward this hypothesis has been conflicting. We analyzed empirical social networks from 43 animal species to motivate our study of the epidemiological consequences of modular structure in animal societies. From these empirical studies, we identified the features of interaction patterns associated with network modularity and developed a theoretical network model to investigate when and how subdivisions in social networks influence disease dynamics. Contrary to prior work, we found that disease risk is largely unaffected by modular structure, although social networks beyond a modular threshold experience smaller disease burden and longer disease duration. Our results illustrate that the lowering of disease burden in highly modular social networks is driven by two mechanisms of modular organization: network fragmentation and subgroup cohesion. Highly fragmented social networks with cohesive subgroups are able to structurally trap infections within a few subgroups and also cause a structural delay to the spread of disease outbreaks. Finally, we show that network models incorporating modular structure are necessary only when prior knowledge suggests that interactions within the population are highly subdivided. Otherwise, null networks based on basic knowledge about group size and local contact heterogeneity may be sufficient when data-limited estimates of epidemic consequences are necessary. Overall, our work does not support the hypothesis that modular structure universally mitigates the disease impact of group living.
Unraveling the disease consequences and mechanisms of modular structure in animal social networks.
Sah, Pratha; Leu, Stephan T; Cross, Paul C; Hudson, Peter J; Bansal, Shweta
2017-04-18
Disease risk is a potential cost of group living. Although modular organization is thought to reduce this cost in animal societies, empirical evidence toward this hypothesis has been conflicting. We analyzed empirical social networks from 43 animal species to motivate our study of the epidemiological consequences of modular structure in animal societies. From these empirical studies, we identified the features of interaction patterns associated with network modularity and developed a theoretical network model to investigate when and how subdivisions in social networks influence disease dynamics. Contrary to prior work, we found that disease risk is largely unaffected by modular structure, although social networks beyond a modular threshold experience smaller disease burden and longer disease duration. Our results illustrate that the lowering of disease burden in highly modular social networks is driven by two mechanisms of modular organization: network fragmentation and subgroup cohesion. Highly fragmented social networks with cohesive subgroups are able to structurally trap infections within a few subgroups and also cause a structural delay to the spread of disease outbreaks. Finally, we show that network models incorporating modular structure are necessary only when prior knowledge suggests that interactions within the population are highly subdivided. Otherwise, null networks based on basic knowledge about group size and local contact heterogeneity may be sufficient when data-limited estimates of epidemic consequences are necessary. Overall, our work does not support the hypothesis that modular structure universally mitigates the disease impact of group living.
Firth, Josh A.; Sheldon, Ben C.
2015-01-01
Our current understanding of animal social networks is largely based on observations or experiments that do not directly manipulate associations between individuals. Consequently, evidence relating to the causal processes underlying such networks is limited. By imposing specified rules controlling individual access to feeding stations, we directly manipulated the foraging social network of a wild bird community, thus demonstrating how external factors can shape social structure. We show that experimentally imposed constraints were carried over into patterns of association at unrestricted, ephemeral food patches, as well as at nesting sites during breeding territory prospecting. Hence, different social contexts can be causally linked, and constraints at one level may have consequences that extend into other aspects of sociality. Finally, the imposed assortment was lost following the cessation of the experimental manipulation, indicating the potential for previously perturbed social networks of wild animals to recover from segregation driven by external constraints. PMID:25652839
Webb, N J; Ibrahim, K M; Bell, D J; Hewitt, G M
1995-04-01
A combination of behavioural observation, DNA fingerprinting, and allozyme analysis were used to examine natal dispersal in a wild rabbit population. Rabbits lived in territorial, warren based social groups. Over a 6-year period, significantly more male than female rabbits moved to a new social group before the start of their first breeding season. This pattern of female philopatry and male dispersal was reflected in the genetic structure of the population. DNA fingerprint band-sharing coefficients were significantly higher for females within the same group than for females between groups, while this was not the case for males. Wright's inbreeding coefficients were calculated from fingerprint band-sharing values and compared to those obtained from allozyme data. There was little correlation between the relative magnitudes of the F-statistics calculated using the two techniques for comparisons between different social groups. In contrast, two alternative methods for calculating FST from DNA fingerprints gave reasonably concordant values although those based on band-sharing were consistently lower than those calculated by an 'allele' frequency approach. A negative FIS value was obtained from allozyme data. Such excess heterozygosity within social groups is expected even under random mating given the social structure and sex-biased dispersal but it is argued that the possibility of behavioural avoidance of inbreeding should not be discounted in this species. Estimates of genetic differentiation obtained from allozyme and DNA fingerprint data agreed closely with reported estimates for the yellow-bellied marmot, a species with a very similar social structure to the European rabbit.
The structural and functional brain networks that support human social networks.
Noonan, M P; Mars, R B; Sallet, J; Dunbar, R I M; Fellows, L K
2018-02-20
Social skills rely on a specific set of cognitive processes, raising the possibility that individual differences in social networks are related to differences in specific brain structural and functional networks. Here, we tested this hypothesis with multimodality neuroimaging. With diffusion MRI (DMRI), we showed that differences in structural integrity of particular white matter (WM) tracts, including cingulum bundle, extreme capsule and arcuate fasciculus were associated with an individual's social network size (SNS). A voxel-based morphology analysis demonstrated correlations between gray matter (GM) volume and SNS in limbic and temporal lobe regions. These structural changes co-occured with functional network differences. As a function of SNS, dorsomedial and dorsolateral prefrontal cortex showed altered resting-state functional connectivity with the default mode network (DMN). Finally, we integrated these three complementary methods, interrogating the relationship between social GM clusters and specific WM and resting-state networks (RSNs). Probabilistic tractography seeded in these GM nodes utilized the SNS-related WM pathways. Further, the spatial and functional overlap between the social GM clusters and the DMN was significantly closer than other control RSNs. These integrative analyses provide convergent evidence of the role of specific circuits in SNS, likely supporting the adaptive behavior necessary for success in extensive social environments. Crown Copyright © 2018. Published by Elsevier B.V. All rights reserved.
Perceived Social Support Among People With Physical Disability
Setareh Forouzan, Ameneh; Mahmoodi, Abolfazl; Jorjoran Shushtari, Zahra; Salimi, Yahya; Sajjadi, Homeira; Mahmoodi, Zohreh
2013-01-01
Background Disability is more based on social, rather than medical aspects. Lack of attention and social support may impact on participation of people with physical disability in various aspects and their return to normal life in the society. Objectives This study was conducted to determine perceived social support and related factors among physically disabled in the city of Tehran. Patients and Methods This cross-sectional study by using simple random sampling was conducted on 136 people with physically disabled who were covered by Welfare Organization of Tehran. The Norbeck social support questionnaire was used .Multiple linear regression analysis with the backward method was used to identify the adjusted association between perceived social support as dependent variable and demographic variables as independent variables. Results The present sample comprised of 68 (50%) male and 68 (50%) female with the mean age of 33 (SD = 8.9) years. Based on the results, mean of functional support was 135. 57 (SD = 98.77) and mean of structural support was 77.37 (SD = 52.37). Regression analysis model, demonstrates that variables of age and marital status remained in the model as significant predictors of functional support (P = 0.003, P = 0.004, respectively) and structural support (P = 0.002, P = 0.006, respectively). Conclusions Based on the results, participants in the study didn’t have favorable status with respect to perceived social support (in all dimensions) from their social network members. While, social support as one of the social determinants of health, plays an important role in improving psychological conditions in people’s lives; therefore, being aware of social support and designing effective interventions to improve it for the disabled is very important. PMID:24578832
ERIC Educational Resources Information Center
Sanyal, Paromita
2009-01-01
Can economic ties positively influence social relations and actions? If so, how does this influence operate? Microfinance programs, which provide credit through a group-based lending strategy, provide the ideal setting for exploring these questions. This article examines whether structuring socially isolated women into peer-groups for an…
Social Capital and Youth Development: Toward a Typology of Program Practices
ERIC Educational Resources Information Center
Emery, Mary
2013-01-01
As part of our inquiry into how youth development and 4-H programming can affect the development of social capital for youth and for the community, we engaged youth in ripple mapping. Based on this information, we provide a typology of participation structures in youth development activities and the expected bridging and bonding social capital…
ERIC Educational Resources Information Center
Kim, Dongho; Lim, Cheolil
2018-01-01
Despite the emergence of collaborative project-based learning in higher education settings, how it can be supported has received little attention. We noted the positive impact of socially shared metacognitive regulation on students' collaboration processes. The purpose of this study was to present a framework for the design and implementation of…
NASA Astrophysics Data System (ADS)
Guimaraes, Cayley; Antunes, Diego R.; de F. Guilhermino Trindade, Daniela; da Silva, Rafaella A. Lopes; Garcia, Laura Sanchez
This work presents a computational model (XML) of the Brazilian Sign Language (Libras), based on its phonology. The model was used to create a sample of representative signs to aid the recording of a base of videos whose aim is to support the development of tools to support genuine social inclusion of the deaf.
Modeling cascading failures with the crisis of trust in social networks
NASA Astrophysics Data System (ADS)
Yi, Chengqi; Bao, Yuanyuan; Jiang, Jingchi; Xue, Yibo
2015-10-01
In social networks, some friends often post or disseminate malicious information, such as advertising messages, informal overseas purchasing messages, illegal messages, or rumors. Too much malicious information may cause a feeling of intense annoyance. When the feeling exceeds a certain threshold, it will lead social network users to distrust these friends, which we call the crisis of trust. The crisis of trust in social networks has already become a universal concern and an urgent unsolved problem. As a result of the crisis of trust, users will cut off their relationships with some of their untrustworthy friends. Once a few of these relationships are made unavailable, it is likely that other friends will decline trust, and a large portion of the social network will be influenced. The phenomenon in which the unavailability of a few relationships will trigger the failure of successive relationships is known as cascading failure dynamics. To our best knowledge, no one has formally proposed cascading failures dynamics with the crisis of trust in social networks. In this paper, we address this potential issue, quantify the trust between two users based on user similarity, and model the minimum tolerance with a nonlinear equation. Furthermore, we construct the processes of cascading failures dynamics by considering the unique features of social networks. Based on real social network datasets (Sina Weibo, Facebook and Twitter), we adopt two attack strategies (the highest trust attack (HT) and the lowest trust attack (LT)) to evaluate the proposed dynamics and to further analyze the changes of the topology, connectivity, cascading time and cascade effect under the above attacks. We numerically find that the sparse and inhomogeneous network structure in our cascading model can better improve the robustness of social networks than the dense and homogeneous structure. However, the network structure that seems like ripples is more vulnerable than the other two network structures. Our findings will be useful in further guiding the construction of social networks to effectively avoid the cascading propagation with the crisis of trust. Some research results can help social network service providers to avoid severe cascading failures.
Tanaka, Yoichi; Nishi, Yuki; Nishi, Yuki; Osumi, Michihiro; Morioka, Shu
2017-01-01
Pain is a subjective emotional experience that is influenced by psychosociological factors such as social skills, which are defined as problem-solving abilities in social interactions. This study aimed to reveal the relationships among pain, social skills, and other psychosociological factors by using structural equation modeling. A total of 101 healthy volunteers (41 men and 60 women; mean age: 36.6±12.7 years) participated in this study. To evoke participants' sense of inner pain, we showed them images of painful scenes on a PC screen and asked them to evaluate the pain intensity by using the visual analog scale (VAS). We examined the correlation between social skills and VAS, constructed a hypothetical model based on results from previous studies and the current correlational analysis results, and verified the model's fit using structural equation modeling. We found significant positive correlations between VAS and total social skills values, as well as between VAS and the "start of relationships" subscales. Structural equation modeling revealed that the values for "start of relationships" had a direct effect on VAS values (path coefficient =0.32, p <0.01). In addition, the "start of relationships" had both a direct and an indirect effect on psychological factors via social support. The results indicated that extroverted people are more sensitive to inner pain and tend to get more social support and maintain a better psychological condition.
NASA Astrophysics Data System (ADS)
Song, Zhichao; Ge, Yuanzheng; Luo, Lei; Duan, Hong; Qiu, Xiaogang
2015-12-01
Social contact between individuals is the chief factor for airborne epidemic transmission among the crowd. Social contact networks, which describe the contact relationships among individuals, always exhibit overlapping qualities of communities, hierarchical structure and spatial-correlated. We find that traditional global targeted immunization strategy would lose its superiority in controlling the epidemic propagation in the social contact networks with modular and hierarchical structure. Therefore, we propose a hierarchical targeted immunization strategy to settle this problem. In this novel strategy, importance of the hierarchical structure is considered. Transmission control experiments of influenza H1N1 are carried out based on a modular and hierarchical network model. Results obtained indicate that hierarchical structure of the network is more critical than the degrees of the immunized targets and the modular network layer is the most important for the epidemic propagation control. Finally, the efficacy and stability of this novel immunization strategy have been validated as well.
Game Theory, Conditional Preferences, and Social Influence
Stirling, Wynn C.; Felin, Teppo
2013-01-01
Neoclassical noncooperative game theory is based on a simple, yet powerful synthesis of mathematical and logical concepts: unconditional and immutable preference orderings and individual rationality. Although this structure has proven useful for characterizing competitive multi-player behavior, its applicability to scenarios involving complex social relationships is problematic. In this paper we directly address this limitation by the introduction of a conditional preference structure that permits players to modulate their preference orderings as functions of the preferences of other players. Embedding this expanded preference structure in a formal and graphical framework provides a systematic approach for characterizing a complex society. The result is an influence network that allows conditional preferences to propagate through the community, resulting in an emergent social model which characterizes all of the social relationships that exist and which leads to solution concepts that account for both group and individual interests. The Ultimatum game is presented as an example of how social influence can be modeled with conditional preferences. PMID:23451078
Game theory, conditional preferences, and social influence.
Stirling, Wynn C; Felin, Teppo
2013-01-01
Neoclassical noncooperative game theory is based on a simple, yet powerful synthesis of mathematical and logical concepts: unconditional and immutable preference orderings and individual rationality. Although this structure has proven useful for characterizing competitive multi-player behavior, its applicability to scenarios involving complex social relationships is problematic. In this paper we directly address this limitation by the introduction of a conditional preference structure that permits players to modulate their preference orderings as functions of the preferences of other players. Embedding this expanded preference structure in a formal and graphical framework provides a systematic approach for characterizing a complex society. The result is an influence network that allows conditional preferences to propagate through the community, resulting in an emergent social model which characterizes all of the social relationships that exist and which leads to solution concepts that account for both group and individual interests. The Ultimatum game is presented as an example of how social influence can be modeled with conditional preferences.
Optimizing a desirable fare structure for a bus-subway corridor
Liu, Bing-Zheng; Ge, Ying-En; Cao, Kai; Jiang, Xi; Meng, Lingyun; Liu, Ding; Gao, Yunfeng
2017-01-01
This paper aims to optimize a desirable fare structure for the public transit service along a bus-subway corridor with the consideration of those factors related to equity in trip, including travel distance and comfort level. The travel distance factor is represented by the distance-based fare strategy, which is an existing differential strategy. The comfort level one is considered in the area-based fare strategy which is a new differential strategy defined in this paper. Both factors are referred to by the combined fare strategy which is composed of distance-based and area-based fare strategies. The flat fare strategy is applied to determine a reference level of social welfare and obtain the general passenger flow along transit lines, which is used to divide areas or zones along the corridor. This problem is formulated as a bi-level program, of which the upper level maximizes the social welfare and the lower level capturing traveler choice behavior is a variable-demand stochastic user equilibrium assignment model. A genetic algorithm is applied to solve the bi-level program while the method of successive averages is adopted to solve the lower-level model. A series of numerical experiments are carried out to illustrate the performance of the models and solution methods. Numerical results indicate that all three differential fare strategies play a better role in enhancing the social welfare than the flat fare strategy and that the fare structure under the combined fare strategy generates the highest social welfare and the largest resulting passenger demand, which implies that the more equity factors a differential fare strategy involves the more desirable fare structure the strategy has. PMID:28981508
Optimizing a desirable fare structure for a bus-subway corridor.
Liu, Bing-Zheng; Ge, Ying-En; Cao, Kai; Jiang, Xi; Meng, Lingyun; Liu, Ding; Gao, Yunfeng
2017-01-01
This paper aims to optimize a desirable fare structure for the public transit service along a bus-subway corridor with the consideration of those factors related to equity in trip, including travel distance and comfort level. The travel distance factor is represented by the distance-based fare strategy, which is an existing differential strategy. The comfort level one is considered in the area-based fare strategy which is a new differential strategy defined in this paper. Both factors are referred to by the combined fare strategy which is composed of distance-based and area-based fare strategies. The flat fare strategy is applied to determine a reference level of social welfare and obtain the general passenger flow along transit lines, which is used to divide areas or zones along the corridor. This problem is formulated as a bi-level program, of which the upper level maximizes the social welfare and the lower level capturing traveler choice behavior is a variable-demand stochastic user equilibrium assignment model. A genetic algorithm is applied to solve the bi-level program while the method of successive averages is adopted to solve the lower-level model. A series of numerical experiments are carried out to illustrate the performance of the models and solution methods. Numerical results indicate that all three differential fare strategies play a better role in enhancing the social welfare than the flat fare strategy and that the fare structure under the combined fare strategy generates the highest social welfare and the largest resulting passenger demand, which implies that the more equity factors a differential fare strategy involves the more desirable fare structure the strategy has.
Intention to continue using Facebook fan pages from the perspective of social capital theory.
Lin, Kuan-Yu; Lu, Hsi-Peng
2011-10-01
Social network sites enable users to express themselves, establish ties, and develop and maintain social relationships. Recently, many companies have begun using social media identity (e.g., Facebook fan pages) to enhance brand attractiveness, and social network sites have evolved into social utility networks, thereby creating a number of promising business opportunities. To this end, the operators of fan pages need to be aware of the factors motivating users to continue their patronization of such pages. This study set out to identify these motivating factors from the point of view of social capital. This study employed structural equation modeling to investigate a research model based on a survey of 327 fan pages users. This study discovered that ties related to social interaction (structural dimension), shared values (cognitive dimension), and trust (relational dimension) play important roles in users' continued intention to use Facebook fan pages. Finally, this study discusses the implications of these findings and offers directions for future research.
ERIC Educational Resources Information Center
Chew, Han Ei
2012-01-01
This dissertation participates in the grand debate on whether ideas or technology change social structures that affect the lives of individuals. At its broadest and based on its findings, this dissertation makes the argument that neither ideas nor technology takes precedence. While technology can drive economic and social changes, it cannot do so…
Greif, Meredith J; Nii-Amoo Dodoo, F
2015-05-01
Urban health in developing counties is a major public health challenge. It has become increasingly evident that the dialog must expand to include mental health outcomes, and to shift focus to the facets of the urban environment that shape them. Population-based research is necessary, as empirical findings linking the urban environment and mental health have primarily derived from developed countries, and may not be generalizable to developing countries. Thus, the current study assesses the prevalence of mental health problems (i.e., depression, perceived powerlessness), as well as their community-based predictors (i.e., crime, disorder, poverty, poor sanitation, local social capital and cohesion), among a sample of 690 residents in three poor urban communities in Accra, Ghana. It uncovers that residents in poor urban communities in developing countries suffer from mental health problems as a result of local stressors, which include not only physical and structural factors but social ones. Social capital and social cohesion show complex, often unhealthy, relationships with mental health, suggesting considerable drawbacks in making social capital a key focus among policymakers. Copyright © 2015. Published by Elsevier Ltd.
Cultural history and aesthetics of nursing care.
Siles González, José; Ruiz, Maria del Carmen Solano
2011-01-01
The aim of this study was to clarify the role of aesthetics in the organization and motivation of care through history. The guiding questions were: What values and aesthetic feelings have supported and motivated pre-professional and professional care? and Based on what structures has pre-professional and professional care been historically socialized? Primary and secondary sources were consulted, selected according to established criteria with a view to avoiding search and selection bias. Data analysis was guided by the categories: "habitus" and "logical conformism". It was found that the relation between social structures and pre-professionals (motherhood, religiosity) and professional aesthetic standards (professionalism, technologism) of care through history is evidenced in the caregiving activity of the functional unit, in the functional framework and the functional element. In conclusion, in social structures, through the socialization process, "logical conformism" and "habitus" constitute the aesthetic standards of care through feelings like motherhood, religiosity, professionalism, technologism and humanism.
NASA Astrophysics Data System (ADS)
Mustafa, D.
2016-12-01
Combined piped and tanker based water supply systems have become a ubiquitous feature of urban waterscapes in the global South. Jordanian water sector, and Amman in particular has been a recipient of considerable international financial and technical assistance over the past decades. The international assistance has coupled with the Jordanian state's own pro-market ideological stance, and its political compulsions to spawn a techno-social assemblage of water supply that represents a hybrid state and commercial water supply system. I present the results of a field study in Amman, Jordan on water tankers and water users to understand the techno-political underpinnings of the hybrid system and its impact on differential access to water. I explore how Actor Network Theory (ANT) based analysis of tankers, suction pumps and piped water system and their materiality may explain differential access to water. But that exploration is inflected by a larger political ecological concern with questions of power and discourses about citizenship and claim making on the state. I find that ANT based focus on water technologies, while ontologically fertile, and epistemologically innovative, is nevertheless politically barren. Much richer political insights are to be gained from structural and post-structurally based investigations of the discursive and material drivers of the techno-social assemblages of water supply. The technologies don't just neutrally impact water access, but seem to almost intentionally favour the powerful over the powerless. Surely the political agency must not reside in inanimate technologies but in the social actors and structures that fashion those technologies, and configure them such to reinforce geographies of power. I call for a renewed focus on social power and how its impact on lived geographies is mediated by technology.
From causes to solutions - insights from lay knowledge about health inequalities
2011-01-01
Background This paper reports on a qualitative study of lay knowledge about health inequalities and solutions to address them. Social determinants of health are responsible for a large proportion of health inequalities (unequal levels of health status) and inequities (unfair access to health services and resources) within and between countries. Despite an expanding evidence base supporting action on social determinants, understanding of the impact of these determinants is not widespread and political will appears to be lacking. A small but growing body of research has explored how ordinary people theorise health inequalities and the implications for taking action. The findings are variable, however, in terms of an emphasis on structure versus individual agency and the relationship between being 'at risk' and acceptance of social/structural explanations. Methods This paper draws on findings from a qualitative study conducted in Adelaide, South Australia, to examine these questions. The study was an integral part of mixed-methods research on the links between urban location, social capital and health. It comprised 80 in-depth interviews with residents in four locations with contrasting socio-economic status. The respondents were asked about the cause of inequalities and actions that could be taken by governments to address them. Results Although generally willing to discuss health inequalities, many study participants tended to explain the latter in terms of individual behaviours and attitudes rather than social/structural conditions. Moreover, those who identified social/structural causes tended to emphasise individualized factors when describing typical pathways to health outcomes. This pattern appeared largely independent of participants' own experience of advantage or disadvantage, and was reinforced in discussion of strategies to address health inequalities. Conclusions Despite the explicit emphasis on social/structural issues expressed in the study focus and framing of the research questions, participants did not display a high level of knowledge about the nature and causes of place-based health inequalities. By extending the scope of lay theorizing to include a focus on solutions, this study offers additional insights for public health. Specifically it suggests that a popular constituency for action on the social determinants of health is unlikely to eventuate from the current popular understandings of possible policy levers. PMID:21281478
From causes to solutions--insights from lay knowledge about health inequalities.
Putland, Christine; Baum, Fran E; Ziersch, Anna M
2011-01-31
This paper reports on a qualitative study of lay knowledge about health inequalities and solutions to address them. Social determinants of health are responsible for a large proportion of health inequalities (unequal levels of health status) and inequities (unfair access to health services and resources) within and between countries. Despite an expanding evidence base supporting action on social determinants, understanding of the impact of these determinants is not widespread and political will appears to be lacking. A small but growing body of research has explored how ordinary people theorise health inequalities and the implications for taking action. The findings are variable, however, in terms of an emphasis on structure versus individual agency and the relationship between being 'at risk' and acceptance of social/structural explanations. This paper draws on findings from a qualitative study conducted in Adelaide, South Australia, to examine these questions. The study was an integral part of mixed-methods research on the links between urban location, social capital and health. It comprised 80 in-depth interviews with residents in four locations with contrasting socio-economic status. The respondents were asked about the cause of inequalities and actions that could be taken by governments to address them. Although generally willing to discuss health inequalities, many study participants tended to explain the latter in terms of individual behaviours and attitudes rather than social/structural conditions. Moreover, those who identified social/structural causes tended to emphasise individualized factors when describing typical pathways to health outcomes. This pattern appeared largely independent of participants' own experience of advantage or disadvantage, and was reinforced in discussion of strategies to address health inequalities. Despite the explicit emphasis on social/structural issues expressed in the study focus and framing of the research questions, participants did not display a high level of knowledge about the nature and causes of place-based health inequalities. By extending the scope of lay theorizing to include a focus on solutions, this study offers additional insights for public health. Specifically it suggests that a popular constituency for action on the social determinants of health is unlikely to eventuate from the current popular understandings of possible policy levers.
Use of Evidence in the Implementation of Social Programs: A Qualitative Study from Chile.
Flores, Rodrigo; Naranjo, Carola; Hein, Andreas
2016-01-01
Through this qualitative, empirical study the authors aim to explore and describe the sources of knowledge that are used to guide intervention practice by social workers in Chile. Particular attention was paid to factors that may facilitate or hinder the use of research-based evidence to guide social interventions design, implementation, and outcome evaluation. In order to explore these issues, 25 semi-structured interviews with social workers from Chilean social service non-profit organizations were conducted. The main findings suggest that social workers do not use research-based evidence to support their social interventions due to various personal organizational constraints (e.g., lack of time, lack of access to resources for disseminating evidence, lack of English command). In addition, no evaluation processes of social programs which will support evidence-based effectiveness could be found. One key barrier to support use of evidence and evidence production may be related to the fact that most non-governmental organizations maintain a hierarchical and vertical relationship with state agencies (program design, oversight, and funding) for social program development.
ERIC Educational Resources Information Center
Bjorck, Ulric
Students' use of distributed Problem-Based Learning (dPBL) in university courses in social economy was studied. A sociocultural framework was used to analyze the actions of students focusing on their mastery of dPBL. The main data material consisted of messages written in an asynchronous conferencing system by 50 Swedish college students in 2…
Honeycomb: Visual Analysis of Large Scale Social Networks
NASA Astrophysics Data System (ADS)
van Ham, Frank; Schulz, Hans-Jörg; Dimicco, Joan M.
The rise in the use of social network sites allows us to collect large amounts of user reported data on social structures and analysis of this data could provide useful insights for many of the social sciences. This analysis is typically the domain of Social Network Analysis, and visualization of these structures often proves invaluable in understanding them. However, currently available visual analysis tools are not very well suited to handle the massive scale of this network data, and often resolve to displaying small ego networks or heavily abstracted networks. In this paper, we present Honeycomb, a visualization tool that is able to deal with much larger scale data (with millions of connections), which we illustrate by using a large scale corporate social networking site as an example. Additionally, we introduce a new probability based network metric to guide users to potentially interesting or anomalous patterns and discuss lessons learned during design and implementation.
Reconfiguration and Search of Social Networks
Zhang, Lianming; Peng, Aoyuan
2013-01-01
Social networks tend to exhibit some topological characteristics different from regular networks and random networks, such as shorter average path length and higher clustering coefficient, and the node degree of the majority of social networks obeys exponential distribution. Based on the topological characteristics of the real social networks, a new network model which suits to portray the structure of social networks was proposed, and the characteristic parameters of the model were calculated. To find out the relationship between two people in the social network, and using the local information of the social network and the parallel mechanism, a hybrid search strategy based on k-walker random and a high degree was proposed. Simulation results show that the strategy can significantly reduce the average number of search steps, so as to effectively improve the search speed and efficiency. PMID:24574861
Henry, Laurence; Craig, Adrian J. F. K.; Lemasson, Alban; Hausberger, Martine
2015-01-01
Turn-taking in conversation appears to be a common feature in various human cultures and this universality raises questions about its biological basis and evolutionary trajectory. Functional convergence is a widespread phenomenon in evolution, revealing sometimes striking functional similarities between very distant species even though the mechanisms involved may be different. Studies on mammals (including non-human primates) and bird species with different levels of social coordination reveal that temporal and structural regularities in vocal interactions may depend on the species' social structure. Here we test the hypothesis that turn-taking and associated rules of conversations may be an adaptive response to the requirements of social life, by testing the applicability of turn-taking rules to an animal model, the European starling. Birdsong has for many decades been considered as one of the best models of human language and starling songs have been well described in terms of vocal production and perception. Starlings do have vocal interactions where alternating patterns predominate. Observational and experimental data on vocal interactions reveal that (1) there are indeed clear temporal and structural regularities, (2) the temporal and structural patterning is influenced by the immediate social context, the general social situation, the individual history, and the internal state of the emitter. Comparison of phylogenetically close species of Sturnids reveals that the alternating pattern of vocal interactions varies greatly according to the species' social structure, suggesting that interactional regularities may have evolved together with social systems. These findings lead to solid bases of discussion on the evolution of communication rules in relation to social evolution. They will be discussed also in terms of processes, at the light of recent neurobiological findings. PMID:26441787
Social power and opinion formation in complex networks
NASA Astrophysics Data System (ADS)
Jalili, Mahdi
2013-02-01
In this paper we investigate the effects of social power on the evolution of opinions in model networks as well as in a number of real social networks. A continuous opinion formation model is considered and the analysis is performed through numerical simulation. Social power is given to a proportion of agents selected either randomly or based on their degrees. As artificial network structures, we consider scale-free networks constructed through preferential attachment and Watts-Strogatz networks. Numerical simulations show that scale-free networks with degree-based social power on the hub nodes have an optimal case where the largest number of the nodes reaches a consensus. However, given power to a random selection of nodes could not improve consensus properties. Introducing social power in Watts-Strogatz networks could not significantly change the consensus profile.
Archie, Elizabeth A; Chiyo, Patrick I
2012-02-01
Genetic tools are increasingly valuable for understanding the behaviour, evolution, and conservation of social species. In African elephants, for instance, genetic data provide basic information on the population genetic causes and consequences of social behaviour, and how human activities alter elephants' social and genetic structures. As such, African elephants provide a useful case study to understand the relationships between social behaviour and population genetic structure in a conservation framework. Here, we review three areas where genetic methods have made important contributions to elephant behavioural ecology and conservation: (1) understanding kin-based relationships in females and the effects of poaching on the adaptive value of elephant relationships, (2) understanding patterns of paternity in elephants and how poaching can alter these patterns, and (3) conservation genetic tools to census elusive populations, track ivory, and understand the behavioural ecology of crop-raiding. By comparing studies from populations that have experienced a range of poaching intensities, we find that human activities have a large effect on elephant behaviour and genetic structure. Poaching disrupts kin-based association patterns, decreases the quality of elephant social relationships, and increases male reproductive skew, with important consequences for population health and the maintenance of genetic diversity. In addition, we find that genetic tools to census populations or gather forensic information are almost always more accurate than non-genetic alternatives. These results contribute to a growing understanding of poaching on animal behaviour, and how genetic tools can be used to understand and conserve social species. © 2011 Blackwell Publishing Ltd.
Integration through Programming and a Model To Provide Structure.
ERIC Educational Resources Information Center
Jordan, Debra J.
1997-01-01
Summarizes research on the benefits of integrating campers with diverse characteristics, and describes the "benefits-based model" of programming, which addresses social problems through recreational activities. Implications for camp administration include recruiting participants and staff from various ethnic and social backgrounds and identifying…
Ellison, Marcia A
2003-09-01
This article explores the sources of authoritative knowledge that shaped single, white, middle-class women's unintentional pregnancies and child-bearing decisions throughout five reproductive eras. Women who terminated a pregnancy were most influenced by their own personal needs and circumstances. birth mothers' decisions were based on external sources of knowledge, such as their mothers, social workers, and social pressures. In contrast, single mothers based their decision on instincts and their religious or moral beliefs. Reproductive policies further constrained and significantly shaped women's experiences. The social stigma associated with these forms of stratified maternity suggests that categorizing pregnant women by their marital status, or births as out-of-wedlock, reproduces the structural violence implicit to normative models of female sexuality and maternity. This mixed-method study included focus groups to determine the kinds of knowledge women considered authoritative, a mailed survey to quantify these identified sources, and one-on-one interviews to explore outcomes in depth.
Unifying Inference of Meso-Scale Structures in Networks.
Tunç, Birkan; Verma, Ragini
2015-01-01
Networks are among the most prevalent formal representations in scientific studies, employed to depict interactions between objects such as molecules, neuronal clusters, or social groups. Studies performed at meso-scale that involve grouping of objects based on their distinctive interaction patterns form one of the main lines of investigation in network science. In a social network, for instance, meso-scale structures can correspond to isolated social groupings or groups of individuals that serve as a communication core. Currently, the research on different meso-scale structures such as community and core-periphery structures has been conducted via independent approaches, which precludes the possibility of an algorithmic design that can handle multiple meso-scale structures and deciding which structure explains the observed data better. In this study, we propose a unified formulation for the algorithmic detection and analysis of different meso-scale structures. This facilitates the investigation of hybrid structures that capture the interplay between multiple meso-scale structures and statistical comparison of competing structures, all of which have been hitherto unavailable. We demonstrate the applicability of the methodology in analyzing the human brain network, by determining the dominant organizational structure (communities) of the brain, as well as its auxiliary characteristics (core-periphery).
Developmental changes in the structure of the social brain in late childhood and adolescence.
Mills, Kathryn L; Lalonde, François; Clasen, Liv S; Giedd, Jay N; Blakemore, Sarah-Jayne
2014-01-01
Social cognition provides humans with the necessary skills to understand and interact with one another. One aspect of social cognition, mentalizing, is associated with a network of brain regions often referred to as the 'social brain.' These consist of medial prefrontal cortex [medial Brodmann Area 10 (mBA10)], temporoparietal junction (TPJ), posterior superior temporal sulcus (pSTS) and anterior temporal cortex (ATC). How these specific regions develop structurally across late childhood and adolescence is not well established. This study examined the structural developmental trajectories of social brain regions in the longest ongoing longitudinal neuroimaging study of human brain maturation. Structural trajectories of grey matter volume, cortical thickness and surface area were analyzed using surface-based cortical reconstruction software and mixed modeling in a longitudinal sample of 288 participants (ages 7-30 years, 857 total scans). Grey matter volume and cortical thickness in mBA10, TPJ and pSTS decreased from childhood into the early twenties. The ATC increased in grey matter volume until adolescence and in cortical thickness until early adulthood. Surface area for each region followed a cubic trajectory, peaking in early or pre-adolescence before decreasing into the early twenties. These results are discussed in the context of developmental changes in social cognition across adolescence.
NASA Astrophysics Data System (ADS)
Nikischer, Andrea B.
This research investigates science, technology, engineering and mathematics (STEM) high school opportunity structures, including student experiences with math and science course sequences and progress, college guidance and counseling, and STEM extracurricular activities (Weis and Eisenhart, 2009), specifically related to STEM fields and career and college choice, for top-performing math and science students. Differences in these structures and processes as they play out in two representative high schools that vary by social class and racial/ethnic makeup are examined. This comparative ethnography includes 36 school and classroom observations, 56 semi-structured individual interviews, and a review of relevant documents, all gathered during the focal students' junior year of high school. Three data chapters are presented, discussing three distinct, yet interconnected themes. In the first, I examine the ways in which chronic attendance problems and classroom distractions negatively impact math and science instruction time and lead to an instruction (time) deficit. In the second, I compare the math and science course and extra-curricular offerings at each school, and discuss the significant differences between sites regarding available STEM exposure and experience, also known as "STEM educational dose" (Wai, et al., 2010). In the third, I investigate available guidance counseling services and STEM and college-linking at each site. Perceived failures in the counseling services available are discussed. This dissertation is grounded in the literature on differences in academic achievement based on school setting, the nature/distribution of knowledge based on social class, and STEM opportunity structures. The concepts of "social capital" and "STEM capital" are engaged throughout. Ultimately, I argue through this dissertation that segregation by race, and most importantly social class, both between and within districts, damages the STEM pipeline for high-performing math and science students located in high-poverty, low-performing schools. I further argue that both federal and state accountability-based school reform efforts are failing to improve outcomes for students with proficiency and interest in STEM learning and STEM fields, and in fact, these reforms are harming top performing students and high school STEM opportunity structures. Recommendations for changes in policy and practice, and for further research, are provided.
Parsing Social Network Survey Data from Hidden Populations Using Stochastic Context-Free Grammars
Poon, Art F. Y.; Brouwer, Kimberly C.; Strathdee, Steffanie A.; Firestone-Cruz, Michelle; Lozada, Remedios M.; Kosakovsky Pond, Sergei L.; Heckathorn, Douglas D.; Frost, Simon D. W.
2009-01-01
Background Human populations are structured by social networks, in which individuals tend to form relationships based on shared attributes. Certain attributes that are ambiguous, stigmatized or illegal can create a ÔhiddenÕ population, so-called because its members are difficult to identify. Many hidden populations are also at an elevated risk of exposure to infectious diseases. Consequently, public health agencies are presently adopting modern survey techniques that traverse social networks in hidden populations by soliciting individuals to recruit their peers, e.g., respondent-driven sampling (RDS). The concomitant accumulation of network-based epidemiological data, however, is rapidly outpacing the development of computational methods for analysis. Moreover, current analytical models rely on unrealistic assumptions, e.g., that the traversal of social networks can be modeled by a Markov chain rather than a branching process. Methodology/Principal Findings Here, we develop a new methodology based on stochastic context-free grammars (SCFGs), which are well-suited to modeling tree-like structure of the RDS recruitment process. We apply this methodology to an RDS case study of injection drug users (IDUs) in Tijuana, México, a hidden population at high risk of blood-borne and sexually-transmitted infections (i.e., HIV, hepatitis C virus, syphilis). Survey data were encoded as text strings that were parsed using our custom implementation of the inside-outside algorithm in a publicly-available software package (HyPhy), which uses either expectation maximization or direct optimization methods and permits constraints on model parameters for hypothesis testing. We identified significant latent variability in the recruitment process that violates assumptions of Markov chain-based methods for RDS analysis: firstly, IDUs tended to emulate the recruitment behavior of their own recruiter; and secondly, the recruitment of like peers (homophily) was dependent on the number of recruits. Conclusions SCFGs provide a rich probabilistic language that can articulate complex latent structure in survey data derived from the traversal of social networks. Such structure that has no representation in Markov chain-based models can interfere with the estimation of the composition of hidden populations if left unaccounted for, raising critical implications for the prevention and control of infectious disease epidemics. PMID:19738904
Nonlethal predator effects on the turn-over of wild bird flocks
Voelkl, Bernhard; Firth, Josh A.; Sheldon, Ben C.
2016-01-01
Nonlethal predator effects arise when individuals of a prey species adjust their behaviour due to the presence of predators. Non-lethal predator effects have been shown to affect social group structure and social behaviour as well as individual fitness of the prey. In this experimental study, we used model sparrowhawks to launch attacks on flocks of wild great tits and blue tits whilst monitoring their social dynamics. We show that nonlethal attacks caused instantaneous turn-over and mixing of group composition within foraging flocks. A single experimental ‘attack’ lasting on average less than three seconds, caused the amount of turn-over expected over three hours (2.0–3.8 hours) of undisturbed foraging. This suggests that nonlethal predator effects can greatly alter group composition within populations, with potential implications for social behaviour by increasing the number of potential interaction partners, as well as longer-term consequences for pair formation and emergent effects determined by social structure such as information and disease transmission. We provide the first evidence, to our knowledge, based on in depth monitoring of a social network to comprehensively support the hypothesis that predators influence the social structure of groups, which offers new perspectives on the key drivers of social behaviour in wild populations. PMID:27633495
Kobayashi, Yutaka; Ohtsuki, Hisashi
2014-03-01
Learning abilities are categorized into social (learning from others) and individual learning (learning on one's own). Despite the typically higher cost of individual learning, there are mechanisms that allow stable coexistence of both learning modes in a single population. In this paper, we investigate by means of mathematical modeling how the effect of spatial structure on evolutionary outcomes of pure social and individual learning strategies depends on the mechanisms for coexistence. We model a spatially structured population based on the infinite-island framework and consider three scenarios that differ in coexistence mechanisms. Using the inclusive-fitness method, we derive the equilibrium frequency of social learners and the genetic load of social learning (defined as average fecundity reduction caused by the presence of social learning) in terms of some summary statistics, such as relatedness, for each of the three scenarios and compare the results. This comparative analysis not only reconciles previous models that made contradictory predictions as to the effect of spatial structure on the equilibrium frequency of social learners but also derives a simple mathematical rule that determines the sign of the genetic load (i.e. whether or not social learning contributes to the mean fecundity of the population). Copyright © 2013 Elsevier Inc. All rights reserved.
Feminist Social Work: Practice and Theory of Practice.
Eyal-Lubling, Roni; Krumer-Nevo, Michal
2016-07-01
Although feminist social work has been practiced in Israel since the 1970s, little has been written about it. This qualitative study aims to fill this gap by documenting and conceptualizing feminist theory of practice and actual practice based on interviews with 12 feminist social workers. Findings reveal that the interviewees perceive feminist practice as significantly different from traditional social work practice based on four analytical principles: (1) gender analysis, (2) awareness of power relations, (3) analysis of welfare services as structures of oppression, and (4) utilization of feminist language, as well as 10 principles of action. The principles are discussed in the context of feminist social work in Israel and in light of feminist principles described in international literature.
Emergence of Scale-Free Leadership Structure in Social Recommender Systems
Zhou, Tao; Medo, Matúš; Cimini, Giulio; Zhang, Zi-Ke; Zhang, Yi-Cheng
2011-01-01
The study of the organization of social networks is important for the understanding of opinion formation, rumor spreading, and the emergence of trends and fashion. This paper reports empirical analysis of networks extracted from four leading sites with social functionality (Delicious, Flickr, Twitter and YouTube) and shows that they all display a scale-free leadership structure. To reproduce this feature, we propose an adaptive network model driven by social recommending. Artificial agent-based simulations of this model highlight a “good get richer” mechanism where users with broad interests and good judgments are likely to become popular leaders for the others. Simulations also indicate that the studied social recommendation mechanism can gradually improve the user experience by adapting to tastes of its users. Finally we outline implications for real online resource-sharing systems. PMID:21857891
McNeill, Lorna Haughton; Wyrwich, Kathleen W; Brownson, Ross C; Clark, Eddie M; Kreuter, Matthew W
2006-02-01
Social ecological models suggest that conditions in the social and physical environment, in addition to individual factors, play important roles in health behavior change. Using structural equation modeling, this study tested a theoretically and empirically based explanatory model of physical activity to examine theorized direct and indirect effects of individual (e.g., motivation and self-efficacy), social environmental (e.g., social support), and physical environmental factors (e.g., neighborhood quality and availability of facilities). A community-based sample of adults (N = 910) was recruited from 2 public health centers (67% female, 43% African American, 43% < $20,000/year, M age = 33 years) and completed a self-administered survey assessing their current physical activity level, intrinsic and extrinsic motivation for physical activity, perceived social support, self-efficacy, and perceptions of the physical environment. Results indicated that (a) perceptions of the physical environment had direct effects on physical activity, (b) both the social and physical environments had indirect effects on physical activity through motivation and self-efficacy, and (c) social support influenced physical activity indirectly through intrinsic and extrinsic motivation. For all forms of activity, self-efficacy was the strongest direct correlate of physical activity, and evidence of a positive dose-response relation emerged between self-efficacy and intensity of physical activity. Findings from this research highlight the interactive role of individual and environmental influences on physical activity.
Tanaka, Yoichi; Nishi, Yuki; Nishi, Yuki; Osumi, Michihiro; Morioka, Shu
2017-01-01
Pain is a subjective emotional experience that is influenced by psychosociological factors such as social skills, which are defined as problem-solving abilities in social interactions. This study aimed to reveal the relationships among pain, social skills, and other psychosociological factors by using structural equation modeling. A total of 101 healthy volunteers (41 men and 60 women; mean age: 36.6±12.7 years) participated in this study. To evoke participants’ sense of inner pain, we showed them images of painful scenes on a PC screen and asked them to evaluate the pain intensity by using the visual analog scale (VAS). We examined the correlation between social skills and VAS, constructed a hypothetical model based on results from previous studies and the current correlational analysis results, and verified the model’s fit using structural equation modeling. We found significant positive correlations between VAS and total social skills values, as well as between VAS and the “start of relationships” subscales. Structural equation modeling revealed that the values for “start of relationships” had a direct effect on VAS values (path coefficient =0.32, p<0.01). In addition, the “start of relationships” had both a direct and an indirect effect on psychological factors via social support. The results indicated that extroverted people are more sensitive to inner pain and tend to get more social support and maintain a better psychological condition. PMID:28979161
Detection of communities with Naming Game-based methods
Ribeiro, Carlos Henrique Costa
2017-01-01
Complex networks are often organized in groups or communities of agents that share the same features and/or functions, and this structural organization is built naturally with the formation of the system. In social networks, we argue that the dynamic of linguistic interactions of agreement among people can be a crucial factor in generating this community structure, given that sharing opinions with another person bounds them together, and disagreeing constantly would probably weaken the relationship. We present here a computational model of opinion exchange that uncovers the community structure of a network. Our aim is not to present a new community detection method proper, but to show how a model of social communication dynamics can reveal the (simple and overlapping) community structure in an emergent way. Our model is based on a standard Naming Game, but takes into consideration three social features: trust, uncertainty and opinion preference, that are built over time as agents communicate among themselves. We show that the separate addition of each social feature in the Naming Game results in gradual improvements with respect to community detection. In addition, the resulting uncertainty and trust values classify nodes and edges according to role and position in the network. Also, our model has shown a degree of accuracy both for non-overlapping and overlapping communities that are comparable with most algorithms specifically designed for topological community detection. PMID:28797097
Education and Telecommunications
ERIC Educational Resources Information Center
Frankel, Charles
1970-01-01
Reform of social and educational structures is essential to realize the full educational potential of telecommunications, which can be used to help that reform, to cement prsent inadequate structures in place, or to build a human civilization on a technological base. (AD)
Rezeanu, Cătălina-Ionela; Briciu, Arabela; Briciu, Victor; Repanovici, Angela; Coman, Claudiu
2016-01-01
The last two decades have seen a growing trend towards the research of voting behavior in post-communist countries. Urban sociology theorists state that not only space structures influence political participation, but also space structures are changing under the influence of global, local, and individual factors. The growing role played by information in the globalised world has accelerated the paradigm shift in urban sociology: from central place model (based on urban-rural distinction and on monocentric metropolitan areas) to network society (based on space of flows and polycentric metropolitan areas). However, recent studies have mainly focused on countries with solid democracies, rather than on former communist countries. The present study aims to analyze the extent to which a new emerging spatial structure can be envisaged within a metropolitan area of Romania and its consequences for the political dimensions of social capital. The Transilvania University Ethics Commission approved this study (S1 Aprouval). The research is based upon individual and aggregate empirical data, collected from the areas adjacent to the core city in Brașov metropolitan area. Individual data has been collected during October 2012, using the oral survey technique (S1 Survey), based on a standardized questionnaire (stratified simple random sample, N = 600). The National Institute of Statistics and the Electoral Register provided the aggregate data per locality. Unvaried and multivariate analyses (hierarchical regression method) were conducted based on these data. Some dimensions of urbanism, identified as predictors of the political dimensions of social capital, suggest that the area under analysis has a predominantly monocentric character, where the rural-urban distinction continues to remain relevant. There are also arguments favoring the dissolution of the rural-urban distinction and the emergence of polycentric spatial structures. The presence of some influences related to the information consumption on all six indicators of the political dimensions of social capital under analysis suggests the occurrence of emerging forms of a space of flows. The identified effects of social problems associated with transport infrastructure and of migration experience on the political dimensions of social capital, also support the emergence of space of flows. We recommend that, in the urban studies in former communist countries, conceptualization of urbanism as predictor of the political dimensions of social capital should consider both the material dimensions of space, as well as the dimensions of information consumption and migration experience.
Rezeanu, Cătălina-Ionela; Briciu, Arabela; Briciu, Victor; Repanovici, Angela; Coman, Claudiu
2016-01-01
Background The last two decades have seen a growing trend towards the research of voting behavior in post-communist countries. Urban sociology theorists state that not only space structures influence political participation, but also space structures are changing under the influence of global, local, and individual factors. The growing role played by information in the globalised world has accelerated the paradigm shift in urban sociology: from central place model (based on urban-rural distinction and on monocentric metropolitan areas) to network society (based on space of flows and polycentric metropolitan areas). However, recent studies have mainly focused on countries with solid democracies, rather than on former communist countries. The present study aims to analyze the extent to which a new emerging spatial structure can be envisaged within a metropolitan area of Romania and its consequences for the political dimensions of social capital. Methods The Transilvania University Ethics Commission approved this study (S1 Aprouval). The research is based upon individual and aggregate empirical data, collected from the areas adjacent to the core city in Brașov metropolitan area. Individual data has been collected during October 2012, using the oral survey technique (S1 Survey), based on a standardized questionnaire (stratified simple random sample, N = 600). The National Institute of Statistics and the Electoral Register provided the aggregate data per locality. Unvaried and multivariate analyses (hierarchical regression method) were conducted based on these data. Results Some dimensions of urbanism, identified as predictors of the political dimensions of social capital, suggest that the area under analysis has a predominantly monocentric character, where the rural-urban distinction continues to remain relevant. There are also arguments favoring the dissolution of the rural-urban distinction and the emergence of polycentric spatial structures. The presence of some influences related to the information consumption on all six indicators of the political dimensions of social capital under analysis suggests the occurrence of emerging forms of a space of flows. The identified effects of social problems associated with transport infrastructure and of migration experience on the political dimensions of social capital, also support the emergence of space of flows. Conclusions We recommend that, in the urban studies in former communist countries, conceptualization of urbanism as predictor of the political dimensions of social capital should consider both the material dimensions of space, as well as the dimensions of information consumption and migration experience. PMID:26807882
Communication Dynamics in Finite Capacity Social Networks
NASA Astrophysics Data System (ADS)
Haerter, Jan O.; Jamtveit, Bjørn; Mathiesen, Joachim
2012-10-01
In communication networks, structure and dynamics are tightly coupled. The structure controls the flow of information and is itself shaped by the dynamical process of information exchanged between nodes. In order to reconcile structure and dynamics, a generic model, based on the local interaction between nodes, is considered for the communication in large social networks. In agreement with data from a large human organization, we show that the flow is non-Markovian and controlled by the temporal limitations of individuals. We confirm the versatility of our model by predicting simultaneously the degree-dependent node activity, the balance between information input and output of nodes, and the degree distribution. Finally, we quantify the limitations to network analysis when it is based on data sampled over a finite period of time.
ERIC Educational Resources Information Center
Makino, Atsushi
2017-01-01
Nowadays in Japan, people's social existence may become less well defined as changes are brought about by social shifting. Japan is simply shifting from a society model based on an industrial society to another model, so-called a consumer society. In terms of social structure, this means shifting from the idea of society and economy assuming the…
Social Justice and Evidence-Based Assessment with the Learning Record
ERIC Educational Resources Information Center
Syverson, Margaret A.
2009-01-01
The educational system perpetuates social injustice through structural inequities of assessment and evaluation. High-stakes standardized testing has a destructive effect on teaching and learning that affects all students, teachers, and schools; it is particularly damaging for disadvantaged students--minorities, students with disabilities, students…
Variety in Play: Exploring Photographs by Helen Levitt
ERIC Educational Resources Information Center
Ruich, Lawrence J.
2012-01-01
Children and burgeoning adolescents' creativity blossom in play-based environments. Likewise, students as active social agents have the opportunity to examine the structures and processes that shape them. The photographic image intimates an aura of credibility, providing the students pause to reflect upon their socialized interactions. These…
Herens, Marion; Wagemakers, Annemarie; Vaandrager, Lenneke; van Ophem, Johan; Koelen, Maria
2017-09-01
This article presents a practitioner-based approach to identify key combinations of contextual factors (C) and mechanisms (M) that trigger outcomes (O) in Dutch community-based health-enhancing physical activity (CBHEPA) programs targeting socially vulnerable groups. Data were collected in six programs using semi-structured interviews and focus groups using a timeline technique. Sessions were recorded, anonymized, and transcribed. A realist synthesis protocol was used for data-driven and thematic analysis of CMO configurations. CMO configurations related to community outreach, program sustainability, intersectoral collaboration, and enhancing participants' active lifestyles. We have refined the CBHEPA program theory by showing that actors' passion for, and past experiences with, physical activity programs trigger outcomes, alongside their commitment to socially vulnerable target groups. Project discontinuity, limited access to resources, and a trainer's stand-alone position were negative configurations. The authors conclude that local governance structures appear often to lack adaptive capacity to accommodate multilevel processes to sustain programs.
Information diffusion in structured online social networks
NASA Astrophysics Data System (ADS)
Li, Pei; Zhang, Yini; Qiao, Fengcai; Wang, Hui
2015-05-01
Nowadays, due to the word-of-mouth effect, online social networks have been considered to be efficient approaches to conduct viral marketing, which makes it of great importance to understand the diffusion dynamics in online social networks. However, most research on diffusion dynamics in epidemiology and existing social networks cannot be applied directly to characterize online social networks. In this paper, we propose models to characterize the information diffusion in structured online social networks with push-based forwarding mechanism. We introduce the term user influence to characterize the average number of times that messages are browsed which is incurred by a given type user generating a message, and study the diffusion threshold, above which the user influence of generating a message will approach infinity. We conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly. These results are of use in understanding the diffusion dynamics in online social networks and also critical for advertisers in viral marketing who want to estimate the user influence before posting an advertisement.
Cheng, Zhen Hadassah; Tu, Ming-Che; Li, Vanessa A; Chang, Rachel W; Yang, Lawrence Hsin
2015-12-01
Chinese immigrants tend to rely on family and close community for support given their vulnerable societal position. Yet stigma, especially from structural and familial sources, may have a particularly harmful impact upon Chinese immigrants with psychosis. Using a descriptive analysis based upon grounded theory, we examined stigma experiences of 50 Chinese immigrant consumers with psychosis, paying particular attention to frequency, sources, and themes of social and structural stigma. Although past research indicates that family is a recipient of stigma, we found instead that family members were common perpetuators of social forms of stigma. We also found that perceptions of work deficit underlie many forms of stigma, suggesting this is "what matters most" in this community. Lack of financial resources and language barriers comprised most frequent forms of structural stigma. Anti-stigma efforts should aim to improve consumer's actual and perceived employability to target what is most meaningful in Chinese immigrant communities.
Huang, Yingying; Muessig, Kathryn E.; Zhang, Ning; Maman, Suzanne
2015-01-01
Interventions for HIV prevention among female sex workers (FSWs) in China focus on HIV/sexually transmitted infection (STI) and individual behaviour change. An occupational health framework facilitates intervention across an array of health issues FSWs face including HIV/STI, violence, reproductive health, stigma and substance use. Through a case study of a community-based Jiaozhou (JZ) FSW programme, we developed a conceptual framework incorporating global discussions of structural approaches to HIV prevention with the specific social and structural contexts identified among FSWs in China. Based on ethnographic fieldwork between August 2010 and May 2013, we describe the evolution of this programme to its current occupational health focus and unpack the intervention strategies. We describe the critical features of the programme that have fostered success among FSWs including high-quality clinical services provided within a welcoming setting, responsive outreach work through staff and trained FSW peers, interpersonal and community-level engagement aimed at changing the local social and structural environments of sex work and tailored health education materials. This intervention differs from other projects in China by adopting a more holistic approach to FSW health that incorporates social issues. It also demonstrates the feasibility of structural interventions among FSWs even within an environment that has strong anti-prostitution policies. PMID:25742611
Ishii, Kaori; Shibata, Ai; Oka, Koichiro
2010-08-05
An understanding of the contributing factors to be considered when examining how individuals engage in physical activity is important for promoting population-based physical activity. The environment influences long-term effects on population-based health behaviors. Personal variables, such as self-efficacy and social support, can act as mediators of the predictive relationship between the environment and physical activity. The present study examines the direct and indirect effects of environmental, psychological, and social factors on walking, moderate-intensity activity excluding walking, and vigorous-intensity activity among Japanese adults. The participants included 1,928 Japanese adults aged 20-79 years. Seven sociodemographic attributes (e.g., gender, age, education level, employment status), psychological variables (self-efficacy, pros, and cons), social variables (social support), environmental variables (home fitness equipment, access to facilities, neighborhood safety, aesthetic sensibilities, and frequency of observing others exercising), and the International Physical Activity Questionnaire were assessed via an Internet-based survey. Structural equation modeling was conducted to determine associations between environmental, psychological, and social factors with physical activity. Environmental factors could be seen to have indirect effects on physical activity through their influence on psychological and social variables such as self-efficacy, pros and cons, and social support. The strongest indirect effects could be observed by examining the consequences of environmental factors on physical activity through cons to self-efficacy. The total effects of environmental factors on physical activity were 0.02 on walking, 0.02 on moderate-intensity activity excluding walking, and 0.05 on vigorous-intensity activity. The present study indicates that environmental factors had indirect effects on walking, moderate-intensity activity excluding walking and vigorous-intensity activity among Japanese adults, especially through the effects on these factors of self-efficacy, social support, and pros and cons. The findings of the present study imply that intervention strategies to promote more engagement in physical activity for population-based health promotion may be necessary.
2010-01-01
Background An understanding of the contributing factors to be considered when examining how individuals engage in physical activity is important for promoting population-based physical activity. The environment influences long-term effects on population-based health behaviors. Personal variables, such as self-efficacy and social support, can act as mediators of the predictive relationship between the environment and physical activity. The present study examines the direct and indirect effects of environmental, psychological, and social factors on walking, moderate-intensity activity excluding walking, and vigorous-intensity activity among Japanese adults. Methods The participants included 1,928 Japanese adults aged 20-79 years. Seven sociodemographic attributes (e.g., gender, age, education level, employment status), psychological variables (self-efficacy, pros, and cons), social variables (social support), environmental variables (home fitness equipment, access to facilities, neighborhood safety, aesthetic sensibilities, and frequency of observing others exercising), and the International Physical Activity Questionnaire were assessed via an Internet-based survey. Structural equation modeling was conducted to determine associations between environmental, psychological, and social factors with physical activity. Results Environmental factors could be seen to have indirect effects on physical activity through their influence on psychological and social variables such as self-efficacy, pros and cons, and social support. The strongest indirect effects could be observed by examining the consequences of environmental factors on physical activity through cons to self-efficacy. The total effects of environmental factors on physical activity were 0.02 on walking, 0.02 on moderate-intensity activity excluding walking, and 0.05 on vigorous-intensity activity. Conclusions The present study indicates that environmental factors had indirect effects on walking, moderate-intensity activity excluding walking and vigorous-intensity activity among Japanese adults, especially through the effects on these factors of self-efficacy, social support, and pros and cons. The findings of the present study imply that intervention strategies to promote more engagement in physical activity for population-based health promotion may be necessary. PMID:20684794
Social Networks and High Healthcare Utilization: Building Resilience Through Analysis
2016-09-01
of Social Network Analysis Patients Developing targeted intervention programs based on the individual’s needs may potentially help improve the...network structure is found in the patterns of interconnection that develop between nodes. It is this linking through common nodes, “the AB link shares...transitivity is responsible for the clustering of nodes that form “communities” of people based on geography, common interests, or other group
Can social capital be intentionally generated? a randomized trial from rural South Africa.
Pronyk, Paul M; Harpham, Trudy; Busza, Joanna; Phetla, Godfrey; Morison, Linda A; Hargreaves, James R; Kim, Julia C; Watts, Charlotte H; Porter, John D
2008-11-01
While much descriptive research has documented positive associations between social capital and a range of economic, social and health outcomes, there have been few intervention studies to assess whether social capital can be intentionally generated. We conducted an intervention in rural South Africa that combined group-based microfinance with participatory gender and HIV training in an attempt to catalyze changes in solidarity, reciprocity and social group membership as a means to reduce women's vulnerability to intimate partner violence and HIV. A cluster randomized trial was used to assess intervention effects among eight study villages. In this paper, we examined effects on structural and cognitive social capital among 845 participants and age and wealth matched women from households in comparison villages. This was supported by a diverse portfolio of qualitative research. After two years, adjusted effect estimates indicated higher levels of structural and cognitive social capital in the intervention group than the comparison group, although confidence intervals were wide. Qualitative research illustrated the ways in which economic and social gains enhanced participation in social groups, and the positive and negative dynamics that emerged within the program. There were numerous instances where individuals and village loan centres worked to address community concerns, both working through existing social networks, and through the establishment of new partnerships with local leadership structures, police, the health sector and NGOs. This is among the first experimental trials suggesting that social capital can be exogenously strengthened. The implications for community interventions in public health are further explored.
Dynamic search and working memory in social recall.
Hills, Thomas T; Pachur, Thorsten
2012-01-01
What are the mechanisms underlying search in social memory (e.g., remembering the people one knows)? Do the search mechanisms involve dynamic local-to-global transitions similar to semantic search, and are these transitions governed by the general control of attention, associated with working memory span? To find out, we asked participants to recall individuals from their personal social networks and measured each participant's working memory capacity. Additionally, participants provided social-category and contact-frequency information about the recalled individuals as well as information about the social proximity among the recalled individuals. On the basis of these data, we tested various computational models of memory search regarding their ability to account for the patterns in which participants recalled from social memory. Although recall patterns showed clustering based on social categories, models assuming dynamic transitions between representations cued by social proximity and frequency information predicted participants' recall patterns best-no additional explanatory power was gained from social-category information. Moreover, individual differences in the time between transitions were positively correlated with differences in working memory capacity. These results highlight the role of social proximity in structuring social memory and elucidate the role of working memory for maintaining search criteria during search within that structure.
Does landscape connectivity shape local and global social network structure in white-tailed deer?
Koen, Erin L.; Tosa, Marie I.; Nielsen, Clayton K.; Schauber, Eric M.
2017-01-01
Intraspecific social behavior can be influenced by both intrinsic and extrinsic factors. While much research has focused on how characteristics of individuals influence their roles in social networks, we were interested in the role that landscape structure plays in animal sociality at both individual (local) and population (global) levels. We used female white-tailed deer (Odocoileus virginianus) in Illinois, USA, to investigate the potential effect of landscape on social network structure by weighting the edges of seasonal social networks with association rate (based on proximity inferred from GPS collar data). At the local level, we found that sociality among female deer in neighboring social groups (n = 36) was mainly explained by their home range overlap, with two exceptions: 1) during fawning in an area of mixed forest and grassland, deer whose home ranges had low forest connectivity were more social than expected; and 2) during the rut in an area of intensive agriculture, deer inhabiting home ranges with high amount and connectedness of agriculture were more social than expected. At the global scale, we found that deer populations (n = 7) in areas with highly connected forest-agriculture edge, a high proportion of agriculture, and a low proportion of forest tended to have higher weighted network closeness, although low sample size precluded statistical significance. This result implies that infectious disease could spread faster in deer populations inhabiting such landscapes. Our work advances the general understanding of animal social networks, demonstrating how landscape features can underlie differences in social behavior both within and among wildlife social networks. PMID:28306748
Mohammadi, Effat; Raissi, Ahmad Reza; Barooni, Mohsen; Ferdoosi, Massoud; Nuhi, Mojtaba
2014-01-01
Introduction and Objectives: Health system reforms are the most strategic issue that has been seriously considered in healthcare systems in order to reduce costs and increase efficiency and effectiveness. The costs of health system finance in our country, lack of universal coverage in health insurance, and related issues necessitate reforms in our health system financing. The aim of this research was to prepare a structure of framework for social health insurance in Iran and conducting a comparative study in selected countries with social health insurance. Materials and Methods: This comparative descriptive study was conducted in three phases. The first phase of the study examined the structure of health social insurance in four countries – Germany, South Korea, Egypt, and Australia. The second phase was to develop an initial model, which was designed to determine the shared and distinguishing points of the investigated structures, for health insurance in Iran. The third phase was to validate the final research model. The developed model by the Delphi method was given to 20 professionals in financing of the health system, health economics and management of healthcare services. Their comments were collected in two stages and its validity was confirmed. Findings: The study of the structure of health insurance in the selected countries shows that health social insurance in different countries have different structures. Based on the findings of the present study, the current situation of the health system, and the conducted surveys, the following framework is suitable for the health social insurance system in Iran. The Health Social Insurance Organization has a unique service by having five funds of governmental employees, companies and NGOs, self-insured, villagers, and others, which serves as a nongovernmental organization under the supervision of public law and by decision- and policy-making of the Health Insurance Supreme Council. Membership in this organization is based on the nationality or residence, which the insured by paying the insurance premiums within 6-10% of their income and employment status, are entitled to use the services. Providing services to the insured are performed by indirect forms. Payments to the service providers for the fee of inpatient and outpatient services are conservative and the related diagnostic groups system. Conclusions: Paying attention to the importance of modification of the fragmented health insurance system and financing the country's healthcare can reduce much of the failure of the health system, including the access of the public to health services. The countries according to the degree of development, governmental, and private insurance companies and existing rules must use the appropriate structure, comprehensive approach to the structure, and financing of the health social insurance on the investigated basis and careful attention to the intersections and differentiation. Studied structures, using them in the proposed approach and taking advantages of the perspectives of different beneficiaries about discussed topics can be important and efficient in order to achieve the goals of the health social insurance. PMID:25540789
Mohammadi, Effat; Raissi, Ahmad Reza; Barooni, Mohsen; Ferdoosi, Massoud; Nuhi, Mojtaba
2014-01-01
Health system reforms are the most strategic issue that has been seriously considered in healthcare systems in order to reduce costs and increase efficiency and effectiveness. The costs of health system finance in our country, lack of universal coverage in health insurance, and related issues necessitate reforms in our health system financing. The aim of this research was to prepare a structure of framework for social health insurance in Iran and conducting a comparative study in selected countries with social health insurance. This comparative descriptive study was conducted in three phases. The first phase of the study examined the structure of health social insurance in four countries - Germany, South Korea, Egypt, and Australia. The second phase was to develop an initial model, which was designed to determine the shared and distinguishing points of the investigated structures, for health insurance in Iran. The third phase was to validate the final research model. The developed model by the Delphi method was given to 20 professionals in financing of the health system, health economics and management of healthcare services. Their comments were collected in two stages and its validity was confirmed. The study of the structure of health insurance in the selected countries shows that health social insurance in different countries have different structures. Based on the findings of the present study, the current situation of the health system, and the conducted surveys, the following framework is suitable for the health social insurance system in Iran. The Health Social Insurance Organization has a unique service by having five funds of governmental employees, companies and NGOs, self-insured, villagers, and others, which serves as a nongovernmental organization under the supervision of public law and by decision- and policy-making of the Health Insurance Supreme Council. Membership in this organization is based on the nationality or residence, which the insured by paying the insurance premiums within 6-10% of their income and employment status, are entitled to use the services. Providing services to the insured are performed by indirect forms. Payments to the service providers for the fee of inpatient and outpatient services are conservative and the related diagnostic groups system. Paying attention to the importance of modification of the fragmented health insurance system and financing the country's healthcare can reduce much of the failure of the health system, including the access of the public to health services. The countries according to the degree of development, governmental, and private insurance companies and existing rules must use the appropriate structure, comprehensive approach to the structure, and financing of the health social insurance on the investigated basis and careful attention to the intersections and differentiation. Studied structures, using them in the proposed approach and taking advantages of the perspectives of different beneficiaries about discussed topics can be important and efficient in order to achieve the goals of the health social insurance.
ERIC Educational Resources Information Center
Chamakalayil, Lalitha; Riegel, Christine
2016-01-01
Education systems reproduce social inequality based on social class, gender, and minority ethnicity ascriptions, and are organized along national structures. This paper explores, how migration and international mobility shape an individuals scope of possibilities in the context of education. We analyze how societal and institutional possibilities…
ERIC Educational Resources Information Center
Kahng, Sang Kyoung; Mowbray, Carol
2004-01-01
This study analyzed factors affecting self-esteem among individuals with severe mental illness to identify effective targets for social work interventions. Data were obtained from 290 individuals with psychiatric disability recruited from community-based psychosocial rehabilitation agencies. Analyses using structural equation modeling revealed…
Mental Programs and Social Behavior Patterns in Russian Society
ERIC Educational Resources Information Center
Lubsky, Anatoly Vladimirovich; Kolesnykova, Elena Yuryevna; Lubsky, Roman Anatolyevich
2016-01-01
The objective of the article is to reconstruct the mental programs, their cognitive, axiological and connotative structures, and construction on this basis of various modal patterns of social behavior in Russian society. Methodology of the article is based on an interdisciplinary scientific approach making it possible to conceptually disclose the…
Schools as Open Social Systems: A Study of Site Specific Restructuring.
ERIC Educational Resources Information Center
Dellar, Graham B.
This paper revisits the literature on the nature of school organizations and presents a view of secondary schools as complex social systems, as opposed to bureaucratic-rational structures. Research was conducted into three Western Australia secondary schools planning to implement school-based decision making and planning procedures. The…
Promoting Cognitive and Social Aspects of Inquiry through Classroom Discourse
ERIC Educational Resources Information Center
Jin, Hui; Wei, Xin; Duan, Peiran; Guo, Yuying; Wang, Wenxia
2016-01-01
We investigated how Chinese physics teachers structured classroom discourse to support the cognitive and social aspects of inquiry-based science learning. Regarding the cognitive aspect, we examined to what extent the cognitive processes underlying the scientific skills and the disciplinary reasoning behind the content knowledge were taught.…
Social Anxiety Experiences and Responses of University Students
ERIC Educational Resources Information Center
Akacan, Behiye; Secim, Gurcan
2015-01-01
The aim of this study is to examine the responses of university students in social anxiety situations in order to create a psychological counselling program with a structured group based on Cognitive Behavioural and Existential Approaches. These responses involve the behaviour and thoughts of the university students in situations where they…
A Materialist Theory of Women's Status.
ERIC Educational Resources Information Center
Flax, Jane
The paper examines three factors--reproduction, production, and psychodynamics--which contribute to maintaining an inferior image of women in a capitalistic society. It also offers suggestions for changing these social structures so that they will not relegate women to inferior social status. In a capitalistic society production is based on…
Social Ecology as Innovative Tertiary Environmental Education.
ERIC Educational Resources Information Center
White, Lesley
1992-01-01
This paper explains the origin of the University of West Sidney's Bachelor of Applied Science in Social Ecology degree, and describes underlying philosophical framework, the major course organizing principles, and the proposed structure of the course. Highlights the problematic nature of setting up a dialectical, nondisciplinary-based program.…
Contemporary Student Activism: The Educational Contexts of Socially-Responsible Civic Engagement
ERIC Educational Resources Information Center
Barnhardt, Cassie L.
2012-01-01
Contemporary higher education leaders tend to view campus based activism as an outgrowth of an educational experience that inspires and leads students to engage in civic action for the purpose of alleviating systemic social, economic, or political injustices. Accordingly, this study explores the relationships between the structural characteristics…
Toward a Psychology of Social Change: A Typology of Social Change
de la Sablonnière, Roxane
2017-01-01
Millions of people worldwide are affected by dramatic social change (DSC). While sociological theory aims to understand its precipitants, the psychological consequences remain poorly understood. A large-scale literature review pointed to the desperate need for a typology of social change that might guide theory and research toward a better understanding of the psychology of social change. Over 5,000 abstracts from peer-reviewed articles were assessed from sociological and psychological publications. Based on stringent inclusion criteria, a final 325 articles were used to construct a novel, multi-level typology designed to conceptualize and categorize social change in terms of its psychological threat to psychological well-being. The typology of social change includes four social contexts: Stability, Inertia, Incremental Social Change and, finally, DSC. Four characteristics of DSC were further identified: the pace of social change, rupture to the social structure, rupture to the normative structure, and the level of threat to one's cultural identity. A theoretical model that links the characteristics of social change together and with the social contexts is also suggested. The typology of social change as well as our theoretical proposition may serve as a foundation for future investigations and increase our understanding of the psychologically adaptive mechanisms used in the wake of DSC. PMID:28400739
Toward a Psychology of Social Change: A Typology of Social Change.
de la Sablonnière, Roxane
2017-01-01
Millions of people worldwide are affected by dramatic social change (DSC). While sociological theory aims to understand its precipitants, the psychological consequences remain poorly understood. A large-scale literature review pointed to the desperate need for a typology of social change that might guide theory and research toward a better understanding of the psychology of social change. Over 5,000 abstracts from peer-reviewed articles were assessed from sociological and psychological publications. Based on stringent inclusion criteria, a final 325 articles were used to construct a novel, multi-level typology designed to conceptualize and categorize social change in terms of its psychological threat to psychological well-being. The typology of social change includes four social contexts: Stability, Inertia, Incremental Social Change and, finally, DSC. Four characteristics of DSC were further identified: the pace of social change, rupture to the social structure, rupture to the normative structure, and the level of threat to one's cultural identity. A theoretical model that links the characteristics of social change together and with the social contexts is also suggested. The typology of social change as well as our theoretical proposition may serve as a foundation for future investigations and increase our understanding of the psychologically adaptive mechanisms used in the wake of DSC.
Social determinants of health in Canada: Are healthy living initiatives there yet? A policy analysis
2012-01-01
Introduction Preventative strategies that focus on addressing the social determinants of health to improve healthy eating and physical activity have become an important strategy in British Columbia and Ontario for combating chronic diseases. What has not yet been examined is the extent to which healthy living initiatives implemented under these new policy frameworks successfully engage with and change the social determinants of health. Methods Initiatives active between January 1, 2006 and September 1, 2011 were found using provincial policy documents, web searches, health organization and government websites, and databases of initiatives that attempted to influence to nutrition and physical activity in order to prevent chronic diseases or improve overall health. Initiatives were reviewed, analyzed and grouped using the descriptive codes: lifestyle-based, environment-based or structure-based. Initiatives were also classified according to the mechanism by which they were administered: as direct programs (e.g. directly delivered), blueprints (or frameworks to tailor developed programs), and building blocks (resources to develop programs). Results 60 initiatives were identified in Ontario and 61 were identified in British Columbia. In British Columbia, 11.5% of initiatives were structure-based. In Ontario, of 60 provincial initiatives identified, 15% were structure-based. Ontario had a higher proportion of direct interventions than British Columbia for all intervention types. However, in both provinces, as the intervention became more upstream and attempted to target the social determinants of health more directly, the level of direct support for the intervention lessened. Conclusions The paucity of initiatives in British Columbia and Ontario that address healthy eating and active living through action on the social determinants of health is problematic. In the context of Canada's increasingly neoliberal political and economic policy, the public health sector may face significant barriers to addressing upstream determinants in a meaningful way. If public health cannot directly affect broader societal conditions, interventions should be focused around advocacy and education about the social determinants of health. It is necessary that health be seen for what it is: a political matter. As such, the health sector needs to take a more political approach in finding solutions for health inequities. PMID:22889402
Scott, Hyman M; Pollack, Lance; Rebchook, Gregory M; Huebner, David M; Peterson, John; Kegeles, Susan M
2014-05-01
Resiliency factors such as social support have been associated with more frequent HIV testing among MSM. We examined the association between social support and delayed HIV testing in the context of structural discrimination and individual factors among young Black MSM. We combined two independent cross-sectional samples recruited 1 year apart from a venue-based, modified time-location sampling study of young Black MSM aged 18-29 years in the US South. Our subsample (N = 813) was men who self-reported not being HIV positive and who indicated they had one or more male sex partners in the past 2 months. Using a social epidemiology framework we estimated associations of structural (racism and homophobia), social (social support from other Black MSM friends) and individual factors with delayed HIV testing (>6 months ago) using logistic regression. Bivariate analyses demonstrated that individual level variables as well as experiences of racism (OR 1.20, 95% CI 1.02-1.41) and homophobia (OR 1.49, 95 % CI 1.02-2.17) were associated with higher risk of delayed HIV testing. Receiving social support from other Black MSM friends was associated with lower risk of delayed HIV testing (OR 0.80, 95 % CI 0.67-0.95). In multivariable models, social support remained significantly associated with lower risk of delayed HIV testing after inclusion of structural and individual level variables. Social support has a positive and robust association with HIV testing among young Black MSM. Whether community building and development of resiliency factors can overcome structural, social, and individual-level barriers to HIV prevention and care for young Black MSM warrants further study.
Using register data to deduce patterns of social exchange.
Jansson, Fredrik
2017-07-01
This paper presents a novel method for deducting propensities for social exchange between individuals based on the choices they make, and based on factors such as country of origin, sex, school grades and socioeconomic background. The objective here is to disentangle the effect of social ties from the other factors, in order to find patterns of social exchange. This is done through a control-treatment design on analysing available data, where the 'treatment' is similarity of choices between socially connected individuals, and the control is similarity of choices between non-connected individuals. Structural dependencies are controlled for and effects from different classes are pooled through a mix of methods from network and meta-analysis. The method is demonstrated and tested on Swedish register data on students at upper secondary school. The results show that having similar grades is a predictor of social exchange. Also, previous results from Norwegian data are replicated, showing that students cluster based on country of origin.
Middle school sexual harassment, violence and social networks.
Mumford, Elizabeth A; Okamoto, Janet; Taylor, Bruce G; Stein, Nan
2013-11-01
To pilot a study of social networks informing contextual analyses of sexual harassment and peer violence (SH/PV). Seventh and 8th grade students (N = 113) in an urban middle school were surveyed via a Web-based instrument. Boys and girls reported SH/PV victimization and perpetration at comparable rates. The proportion of nominated friends who reported SH/ PV outcomes was greater in boys' than in girls' social networks. Structural descriptors of social networks were not significant predictors of SH/PV outcomes. Collection of sensitive relationship data via a school-based Web survey is feasible. Full-scale studies and greater flexibility regarding the number of friendship nominations are recommended for subsequent investigations of potential sex differences.
Data Acquisition and Preparation for Social Network Analysis Based on Email: Lessons Learned
2009-06-01
Mrvar , A., and Batagelj , V. (2005), Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences series). Cambridge, New...visualization of large networks. This program was developed by Vladimir Batagelj and Andrej Mrvar of the University of Ljubljana in Slovenia. Pajek evolved...theory, presumes Wasserman & Faust as foundation Amazon: 55% purchase rate among viewers 5. de Nooy, W., Mrvar , A., and Batagelj , V. (2005
Harrikari, Timo
2014-10-01
This article addresses the question of the structure of local child welfare activities in light of community-level factors. It poses the following research questions: how are different community-level factors related to child welfare client structures in communities and what is the extent to which these factors explain structural differences? The applied theoretical framework is based on social disorganization and strain theories as well as human developmental approach. The data has been collected from two Finnish national databases and it consists of variables containing 257 Finnish municipalities. The method of analysis is multinomial logistic regression. The results suggest that the local child welfare structures are tied to social disorganization, policing and culture as well as to the intensity of control in the communities. In general, the more fragile the communal structures, the more last-resort child welfare there is in the community. Combining fragile communal structures with weak dependency ratio and high proportion of social workers, the more intense the level of child welfare statistics indicated. The results indicate that the theoretical framework for the application of child welfare activity analysis is justified, but they also suggest that it requires further development through both context-bound reflection and application. Copyright © 2014 Elsevier Ltd. All rights reserved.
Psycho-social Correlates of Condom Use and HIV Testing among MSM Refugees in Beirut, Lebanon.
Tohme, Johnny; Egan, James E; Friedman, Mackey R; Stall, Ron
2016-12-01
MSM refugees have to deal with personal challenges and social/structural adversaries based on their refugee status on top of their sexual identity. To better customize interventions beside this population, we explored psycho-social and structural correlates of condom use and HIV testing in Lebanon by surveying and testing 150 participants. 67 % self-identified as gay. 84.6 % reported any unprotected anal intercourse (UAI) with men in the prior 3 months. Those who engaged in UAI, were lest comfortable with a doctor, didn't know where to get free HIV testing, experienced discrimination based on their refugee status and spent more time with their refugee peers, were less inclined to have seen a doctor in the past 12 month or knew where to get free HIV testing. Ever having been HIV tested was associated with being comfortable with medical doctors, knowing where to get HIV testing and spending time with other peer refugees. HIV prevention and testing promotion efforts targeting MSM refugees need to account for structural barriers, while fighting discrimination is crucial for a healthy sexual identity development.
Applying Structural Systems Thinking to Frame Perspectives on Social Work Innovation.
Stringfellow, Erin J
2017-03-01
Innovation will be key to the success of the Grand Challenges Initiative in social work. A structural systems framework based in system dynamics could be useful for considering how to advance innovation. Diagrams using system dynamics conventions were developed to link common themes across concept papers written by social work faculty members and graduate students ( N = 19). Transdisciplinary teams and ethical partnerships with communities and practitioners will be needed to responsibly develop high-quality innovative solutions. A useful next step would be to clarify to what extent factors that could "make or break" these partnerships arise from within versus outside of the field of social work and how this has changed over time. Advancing innovation in social work will mean making decisions in a complex, ever-changing system. Principles and tools from methods that account for complexity, such as system dynamics, can help improve this decision-making process.
Applying Structural Systems Thinking to Frame Perspectives on Social Work Innovation
Stringfellow, Erin J.
2017-01-01
Objective Innovation will be key to the success of the Grand Challenges Initiative in social work. A structural systems framework based in system dynamics could be useful for considering how to advance innovation. Method Diagrams using system dynamics conventions were developed to link common themes across concept papers written by social work faculty members and graduate students (N = 19). Results Transdisciplinary teams and ethical partnerships with communities and practitioners will be needed to responsibly develop high-quality innovative solutions. A useful next step would be to clarify to what extent factors that could “make or break” these partnerships arise from within versus outside of the field of social work and how this has changed over time. Conclusions Advancing innovation in social work will mean making decisions in a complex, ever-changing system. Principles and tools from methods that account for complexity, such as system dynamics, can help improve this decision-making process. PMID:28298877
Multilevel animal societies can emerge from cultural transmission
Cantor, Maurício; Shoemaker, Lauren G.; Cabral, Reniel B.; Flores, César O.; Varga, Melinda; Whitehead, Hal
2015-01-01
Multilevel societies, containing hierarchically nested social levels, are remarkable social structures whose origins are unclear. The social relationships of sperm whales are organized in a multilevel society with an upper level composed of clans of individuals communicating using similar patterns of clicks (codas). Using agent-based models informed by an 18-year empirical study, we show that clans are unlikely products of stochastic processes (genetic or cultural drift) but likely originate from cultural transmission via biased social learning of codas. Distinct clusters of individuals with similar acoustic repertoires, mirroring the empirical clans, emerge when whales learn preferentially the most common codas (conformism) from behaviourally similar individuals (homophily). Cultural transmission seems key in the partitioning of sperm whales into sympatric clans. These findings suggest that processes similar to those that generate complex human cultures could not only be at play in non-human societies but also create multilevel social structures in the wild. PMID:26348688
A Markov chain model for image ranking system in social networks
NASA Astrophysics Data System (ADS)
Zin, Thi Thi; Tin, Pyke; Toriu, Takashi; Hama, Hiromitsu
2014-03-01
In today world, different kinds of networks such as social, technological, business and etc. exist. All of the networks are similar in terms of distributions, continuously growing and expanding in large scale. Among them, many social networks such as Facebook, Twitter, Flickr and many others provides a powerful abstraction of the structure and dynamics of diverse kinds of inter personal connection and interaction. Generally, the social network contents are created and consumed by the influences of all different social navigation paths that lead to the contents. Therefore, identifying important and user relevant refined structures such as visual information or communities become major factors in modern decision making world. Moreover, the traditional method of information ranking systems cannot be successful due to their lack of taking into account the properties of navigation paths driven by social connections. In this paper, we propose a novel image ranking system in social networks by using the social data relational graphs from social media platform jointly with visual data to improve the relevance between returned images and user intentions (i.e., social relevance). Specifically, we propose a Markov chain based Social-Visual Ranking algorithm by taking social relevance into account. By using some extensive experiments, we demonstrated the significant and effectiveness of the proposed social-visual ranking method.
Yeh, Zai-Ting
2013-01-01
Social intelligence is the ability to understand others and the social context effectively and thus to interact with people successfully. Research has suggested that the theory of mind (ToM) and executive function may play important roles in explaining social intelligence. The specific aim of the present study was to test with structural equation modeling (SEM) the hypothesis that performance on ToM tasks is more associated with social intelligence in the elderly than is performance on executive functions. One hundred and seventy-seven participants (age 56-96) completed ToM, executive function, and other basic cognition tasks, and were rated with social intelligence scales. The SEM results showed that ToM and executive function were strongly correlated (0.54); however, only the path coefficient from ToM to social intelligence, and not from executive function, was significant (0.37). ToM performance, but not executive function, was strongly correlated with social intelligence among elderly individuals. ToM and executive function might play different roles in social behavior during normal aging; however, based on the present results, it is possible that ToM might play an important role in social intelligence.
ERIC Educational Resources Information Center
Seyihoglu, Aysegul; Kartal, Ayca
2010-01-01
The purpose of this study is to reveal the opinions of teachers on using the mind mapping technique in Life Science and Social Studies lessons. The participants of the study are 20 primary education teachers. In this study, a semi-structured interview technique was used. For content analysis, the themes and codes were defined, based on the views…
ERIC Educational Resources Information Center
Katz-Gerro, Tally; Talmud, Ilan
2005-01-01
This paper proposes a new analysis of consumption inequality using relational methods, derived from network images of social structure. We combine structural analysis with theoretical concerns in consumer research to propose a relational theory of consumption space, to construct a stratification indicator, and to demonstrate its analytical…
Disseminating educational innovations in health care practice: training versus social networks.
Jippes, Erik; Achterkamp, Marjolein C; Brand, Paul L P; Kiewiet, Derk Jan; Pols, Jan; van Engelen, Jo M L
2010-05-01
Improvements and innovation in health service organization and delivery have become more and more important due to the gap between knowledge and practice, rising costs, medical errors, and the organization of health care systems. Since training and education is widely used to convey and distribute innovative initiatives, we examined the effect that following an intensive Teach-the-Teacher training had on the dissemination of a new structured competency-based feedback technique of assessing clinical competencies among medical specialists in the Netherlands. We compared this with the effect of the structure of the social network of medical specialists, specifically the network tie strength (strong ties versus weak ties). We measured dissemination of the feedback technique by using a questionnaire filled in by Obstetrics & Gynecology and Pediatrics residents (n=63). Data on network tie strength was gathered with a structured questionnaire given to medical specialists (n=81). Social network analysis was used to compose the required network coefficients. We found a strong effect for network tie strength and no effect for the Teach-the-Teacher training course on the dissemination of the new structured feedback technique. This paper shows the potential that social networks have for disseminating innovations in health service delivery and organization. Further research is needed into the role and structure of social networks on the diffusion of innovations between departments and the various types of innovations involved. Copyright (c) 2010 Elsevier Ltd. All rights reserved.
Leedahl, Skye N; Chapin, Rosemary K; Little, Todd D
2015-01-01
Testing a model based on past research and theory, this study assessed relationships between facility characteristics (i.e., culture change efforts, social workers) and residents' social networks and social support across nursing homes; and examined relationships between multiple aspects of social integration (i.e., social networks, social capital, social engagement, social support) and mental and functional health for older adults in nursing homes. Data were collected at nursing homes using a planned missing data design with random sampling techniques. Data collection occurred at the individual-level through in-person structured interviews with older adult nursing home residents (N = 140) and at the facility-level (N = 30) with nursing home staff. The best fitting multilevel structural equation model indicated that the culture change subscale for relationships significantly predicted differences in residents' social networks. Additionally, social networks had a positive indirect relationship with mental and functional health among residents primarily via social engagement. Social capital had a positive direct relationship with both health outcomes. To predict better social integration and mental and functional health outcomes for nursing homes residents, study findings support prioritizing that close relationships exist among staff, residents, and the community as well as increased resident social engagement and social trust. © The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Vonneilich, Nico; Jöckel, Karl-Heinz; Erbel, Raimund; Klein, Jens; Dragano, Nico; Siegrist, Johannes; von dem Knesebeck, Olaf
2012-04-17
Socioeconomic status (SES) is an important determinant of population health. Explanatory approaches on how SES determines health have so far included numerous factors, amongst them psychosocial factors such as social relationships. However, it is unclear whether social relationships can help explain socioeconomic differences in general subjective health. Do different aspects of social relationships contribute differently to the explanation? Based on a cohort study of middle and older aged residents (45 to 75 years) from the Ruhr Area in Germany our study tries to clarify the matter. For the analyses data from the population-based prospective Heinz Nixdorf Recall (HNR) Study is used. As indicators of SES education, equivalent household income and occupational status were employed. Social relations were assessed by including structural as well as functional aspects. Structural aspects were estimated by the Social Integration Index (SII) and functional aspects were measured by availability of emotional and instrumental support. Data on general subjective health status was available for both baseline examination (2000-2003) and a 5-year follow-up (2006-2008). The sample consists of 4,146 men and women. Four logistic regression models were calculated: in the first model we controlled for age and subjective health at baseline, while in models 2 and 3, either functional or structural aspects of social relationships were introduced separately. Model 4 then included all variables. As former studies indicated different health effects of SES and social relations in men and women, analyses were conducted with the overall sample as well as for each gender alone. Prospective associations of SES and subjective health were reduced after introducing social relationships into the regression models. Percentage reductions between 2% and 30% were observed in the overall sample when all aspects of social relations were included. The percentage reductions were strongest in the lowest SES group. Gender specific analyses revealed mediating effects of social relationships in women and men. The magnitude of mediating effects varied depending on the indicators of SES and social relations. Social relationships substantially contribute to the explanation of SES differences in subjective health. Interventions for improving social relations which especially focus on socially deprived groups are likely to help reducing socioeconomic disparities in health.
Shannon, Geordan D; Motta, Angelica; Cáceres, Carlos F; Skordis-Worrall, Jolene; Bowie, Diana; Prost, Audrey
In the Peruvian Amazon, historical events of colonization and political marginalization intersect with identities of ethnicity, class and geography in the construction of gender and health inequities. Gender-based inequalities can manifest in poor health outcomes via discriminatory practices, healthcare system imbalances, inequities in health research, and differential exposures and vulnerabilities to diseases. Structural violence is a comprehensive framework to explain the mechanisms by which social forces such as poverty, racism and gender inequity become embodied as individual experiences and health outcomes, and thus may be a useful tool in structuring an intersectional analysis of gender and health inequities in Amazonian Peru. The aim of this paper is to explore the intersection of gender inequities with other social inequalities in the production of health and disease in Peru's Amazon using a structural violence approach. Exploratory qualitative research was performed in two Loreto settings - urban Iquitos and the rural Lower Napo River region - between March and November 2015. This included participant observation with prolonged stays in the community, 46 semi-structured individual interviews and three group discussions. Thematic analysis was performed to identify emerging themes related to gender inequalities in health and healthcare and how these intersect with layered social disadvantages in the reproduction of health and illness. We employed a structural violence approach to construct an intersectional analysis of gender and health inequities in Amazonian Peru. Our findings were arranged into five interrelated domains within a gender, structural violence and health model: gender as a symbolic institution, systemic gender-based violence, interpersonal violence, the social determinants of health, and other health outcomes. Each domain represents one aspect of the complex associations between gender, gender inequity and health. Through this model, we were able to explore: gender, health and intersectionality; structural violence; and to highlight particular local gender and health dynamics. Intersecting influences of poverty, ethnicity, geography and gender served as significant barriers to healthcare in both rural and urban settings.
The Mental Representation of Social Connections: Generalizability Extended to Beijing Adults
Hawkley, Louise C.; Gu, Yuanyuan; Luo, Yue-Jia; Cacioppo, John T.
2012-01-01
Social connections are essential for the survival of a social species like humans. People differ in the degree to which they are sensitive to perceived deficits in their social connections, but evidence suggests that they nevertheless construe the nature of their social connections similarly. This construal can be thought of as a mental representation of a multi-faceted social experience. A three-dimensional mental representation has been identified with the UCLA Loneliness Scale and consists of Intimate, Relational, and Collective Connectedness reflecting beliefs about one's individual, dyadic, and collective (group) social value, respectively. Moreover, this mental representation has been replicated with other scales and validated across age, gender, and racial/ethnic lines in U.S. samples. The purpose of this study is to evaluate the extent to which this three-dimensional representation applies to people whose social lives are experienced in a collectivistic rather than individualistic culture. To that end, we used confirmatory factor analyses to assess the fit of the three-dimensional mental structure to data collected from Chinese people living in China. Two hundred sixty-seven young adults (16–25 yrs) and 250 older adults (50–65 yrs) in Beijing completed the revised UCLA Loneliness Scale and demographic and social activity questionnaires. Results revealed adequate fit of the structure to data from young and older Chinese adults. Moreover, the structure exhibited equivalent fit in young and older Chinese adults despite changes in the Chinese culture that exposed these two generations to different cultural experiences. Social activity variables that discriminated among the three dimensions in the Chinese samples corresponded well with variables that discriminated among the three dimensions in the U.S.-based samples, indicating cultural commonalities in the factors predicting dimensions of people's representations of their social connections. Equivalence of the three-dimensional structure is relevant for an understanding of cultural differences in the sources of loneliness and social connectedness. PMID:23028486
The mental representation of social connections: generalizability extended to Beijing adults.
Hawkley, Louise C; Gu, Yuanyuan; Luo, Yue-Jia; Cacioppo, John T
2012-01-01
Social connections are essential for the survival of a social species like humans. People differ in the degree to which they are sensitive to perceived deficits in their social connections, but evidence suggests that they nevertheless construe the nature of their social connections similarly. This construal can be thought of as a mental representation of a multi-faceted social experience. A three-dimensional mental representation has been identified with the UCLA Loneliness Scale and consists of Intimate, Relational, and Collective Connectedness reflecting beliefs about one's individual, dyadic, and collective (group) social value, respectively. Moreover, this mental representation has been replicated with other scales and validated across age, gender, and racial/ethnic lines in U.S. samples. The purpose of this study is to evaluate the extent to which this three-dimensional representation applies to people whose social lives are experienced in a collectivistic rather than individualistic culture. To that end, we used confirmatory factor analyses to assess the fit of the three-dimensional mental structure to data collected from Chinese people living in China. Two hundred sixty-seven young adults (16-25 yrs) and 250 older adults (50-65 yrs) in Beijing completed the revised UCLA Loneliness Scale and demographic and social activity questionnaires. Results revealed adequate fit of the structure to data from young and older Chinese adults. Moreover, the structure exhibited equivalent fit in young and older Chinese adults despite changes in the Chinese culture that exposed these two generations to different cultural experiences. Social activity variables that discriminated among the three dimensions in the Chinese samples corresponded well with variables that discriminated among the three dimensions in the U.S.-based samples, indicating cultural commonalities in the factors predicting dimensions of people's representations of their social connections. Equivalence of the three-dimensional structure is relevant for an understanding of cultural differences in the sources of loneliness and social connectedness.
ERIC Educational Resources Information Center
Demerath, Peter
2003-01-01
Suggests that Papua New Guinea high school students' academic disengagement results from emerging personal subjectivities and new social networks. Ethnographic research highlights the authority students attribute to their perceptions of limited opportunity structures facing them and the idealized village-based egalitarian student identity being…
Engaging Students via Social Media: Is It Worth the Effort?
ERIC Educational Resources Information Center
Mostafa, Rania B.
2015-01-01
This article explores for the first time the moderating effect of students' readiness for cocreation on the student social media engagement and perceived value relationship. Ping's and Cadogan et al.'s procedures for assessing the structural model with interaction terms were followed. Results based on a sample of 353 university students…
Analyzing the Scientific Evolution of Social Work Using Science Mapping
ERIC Educational Resources Information Center
Martínez, Ma Angeles; Cobo, Manuel Jesús; Herrera, Manuel; Herrera-Viedma, Enrique
2015-01-01
Objectives: This article reports the first science mapping analysis of the social work field, which shows its conceptual structure and scientific evolution. Methods: Science Mapping Analysis Software Tool, a bibliometric science mapping tool based on co-word analysis and h-index, is applied using a sample of 18,794 research articles published from…
Assessing Argumentative Representation with Bayesian Network Models in Debatable Social Issues
ERIC Educational Resources Information Center
Zhang, Zhidong; Lu, Jingyan
2014-01-01
This study seeks to obtain argumentation models, which represent argumentative processes and an assessment structure in secondary school debatable issues in the social sciences. The argumentation model was developed based on mixed methods, a combination of both theory-driven and data-driven methods. The coding system provided a combing point by…
Social Dynamics within Electronic Networks of Practice
ERIC Educational Resources Information Center
Mattson, Thomas A., Jr.
2013-01-01
Electronic networks of practice (eNoP) are special types of electronic social structures focused on discussing domain-specific problems related to a skill-based craft or profession in question and answer style forums. eNoP have implemented peer-to-peer feedback systems in order to motivate future contributions and to distinguish contribution…
Education for a Digital World: Advice, Guidelines, and Effective Practice from around the Globe
ERIC Educational Resources Information Center
Commonwealth of Learning, 2008
2008-01-01
"Education for a Digital World" contains a collection of strategies and tools for effective online teaching, based on the principles of learning as a social process. Narrative is supplemented by real-life examples, case studies, and resources to supply comprehensive perspectives about structuring and fostering socially engaging learning…
DOE Office of Scientific and Technical Information (OSTI.GOV)
Madison, Alison L.
November Economic Diversity column for the Tri-City Herald - Topic: Social Purpose Corporations - Excerpt below: On March 31, Governor Chris Gregoire made history when she signed HB2239 and created Washington’s first alternative for-profit corporate structure, the social purpose corporation, or SPC. The new structure allows for-profit entities to formally strive toward creation of social and environmental good as their top corporate priority. This significantly contrasts with the expectation that traditional companies must put creation of shareholder value first. It signals that Washington State believes corporate leadership should have the flexibility and legal backing to make decisions based on themore » company’s impact on all of its stakeholders rather than on the ability to maximize profits.« less
Andersson, Anton; Edling, Christofer; Rydgren, Jens
2018-03-01
The study investigates inequalities in access to social capital based on social class origin and immigration background and examines the role of transnational ties in explaining these differences. Social capital is measured with a position generator methodology that separates between national and transnational contacts in a sample of young adults in Sweden with three parental backgrounds: at least one parent born in Iran or Yugoslavia, or two Sweden-born parents. The results show that having socioeconomically advantaged parents is associated with higher levels of social capital. Children of immigrants are found to have a greater access to social capital compared to individuals with native background, and the study shows that this is related to transnational contacts, parents' education and social class in their country of origin. Children of immigrants tend to have more contacts abroad, while there is little difference in the amount of contacts living in Sweden across the three groups. It is concluded that knowledge about immigration group resources help us predict its member's social capital, but that the analysis also needs to consider how social class trajectories and migration jointly structure national and transnational contacts. © London School of Economics and Political Science 2017.
Journey to the Edges: Social Structures and Neural Maps of Intergroup Processes
Fiske, Susan T.
2013-01-01
This article explores boundaries of the intellectual map of intergroup processes, going to the macro (social structure) boundary and the micro (neural systems) boundary. Both are illustrated by with my own and others’ work on social structures and on neural structures related to intergroup processes. Analyzing the impact of social structures on intergroup processes led to insights about distinct forms of sexism and underlies current work on forms of ageism. The stereotype content model also starts with the social structure of intergroup relations (interdependence and status) and predicts images, emotions, and behaviors. Social structure has much to offer the social psychology of intergroup processes. At the other, less explored boundary, social neuroscience addresses the effects of social contexts on neural systems relevant to intergroup processes. Both social structural and neural analyses circle back to traditional social psychology as converging indicators of intergroup processes. PMID:22435843
Expanded Study on the accumulation effect of tourism under the constraint of structure
NASA Astrophysics Data System (ADS)
Wang, Qiang; Yang, Zhenzhi; Huang, Lu
2017-05-01
There is a mutual influence between departmental structure and accumulation and growth. Therefore, the accumulation and growth of the tourism industry will be subject to certain restrictions on the industrial structure, and, conversely, it will have an impact on the existing industrial structure. Li Jingyi reported special research in the paper called "Research on tourism growth based on structural constraints" about the relationship between the growth of tourism and the existing industrial structure. It pointed out the specific interdependence between tourism and other economic sectors in terms of accumulation and growth. However, the research of Li Jingyi is based on the trichotomy of social product value. It is too abstract, while the study is understandable in theory. In practice, it is difficult to use the model of the paper to deal with specific problems. Therefore, how to improve the industry association model in the paper of Li and make it more in line with the actual situation becomes our concern. In this paper, the author hopes to improve the model of Li's paper by simplifying the decomposition of social product value. At the same time, it makes a further study on accumulation elasticity and growth elasticity. On this basis, some suggestions are put forward to guide the development of other industries based on the tourism industry.
Predicting Regional Self-identification from Spatial Network Models
Almquist, Zack W.; Butts, Carter T.
2014-01-01
Social scientists characterize social life as a hierarchy of environments, from the micro level of an individual’s knowledge and perceptions to the macro level of large-scale social networks. In accordance with this typology, individuals are typically thought to reside in micro- and macro-level structures, composed of multifaceted relations (e.g., acquaintanceship, friendship, and kinship). This article analyzes the effects of social structure on micro outcomes through the case of regional identification. Self identification occurs in many different domains, one of which is regional; i.e., the identification of oneself with a locationally-associated group (e.g., a “New Yorker” or “Parisian”). Here, regional self-identification is posited to result from an influence process based on the location of an individual’s alters (e.g., friends, kin or coworkers), such that one tends to identify with regions in which many of his or her alters reside. The structure of this paper is laid out as follows: initially, we begin with a discussion of the relevant social science literature for both social networks and identification. This discussion is followed with one about competing mechanisms for regional identification that are motivated first from the social network literature, and second by the social psychological and cognitive literature of decision making and heuristics. Next, the paper covers the data and methods employed to test the proposed mechanisms. Finally, the paper concludes with a discussion of its findings and further implications for the larger social science literature. PMID:25684791
Latent variable model for suicide risk in relation to social capital and socio-economic status.
Congdon, Peter
2012-08-01
There is little evidence on the association between suicide outcomes (ideation, attempts, self-harm) and social capital. This paper investigates such associations using a structural equation model based on health survey data, and allowing for both individual and contextual risk factors. Social capital and other major risk factors for suicide, namely socioeconomic status and social isolation, are modelled as latent variables that are proxied (or measured) by observed indicators or question responses for survey subjects. These latent scales predict suicide risk in the structural component of the model. Also relevant to explaining suicide risk are contextual variables, such as area deprivation and region of residence, as well as the subject's demographic status. The analysis is based on the 2007 Adult Psychiatric Morbidity Survey and includes 7,403 English subjects. A Bayesian modelling strategy is used. Models with and without social capital as a predictor of suicide risk are applied. A benefit to statistical fit is demonstrated when social capital is added as a predictor. Social capital varies significantly by geographic context variables (neighbourhood deprivation, region), and this impacts on the direct effects of these contextual variables on suicide risk. In particular, area deprivation is not confirmed as a distinct significant influence. The model develops a suicidality risk score incorporating social capital, and the success of this risk score in predicting actual suicide events is demonstrated. Social capital as reflected in neighbourhood perceptions is a significant factor affecting risks of different types of self-harm and may mediate the effects of other contextual variables such as area deprivation.
The dynamics of information-driven coordination phenomena: A transfer entropy analysis
Borge-Holthoefer, Javier; Perra, Nicola; Gonçalves, Bruno; González-Bailón, Sandra; Arenas, Alex; Moreno, Yamir; Vespignani, Alessandro
2016-01-01
Data from social media provide unprecedented opportunities to investigate the processes that govern the dynamics of collective social phenomena. We consider an information theoretical approach to define and measure the temporal and structural signatures typical of collective social events as they arise and gain prominence. We use the symbolic transfer entropy analysis of microblogging time series to extract directed networks of influence among geolocalized subunits in social systems. This methodology captures the emergence of system-level dynamics close to the onset of socially relevant collective phenomena. The framework is validated against a detailed empirical analysis of five case studies. In particular, we identify a change in the characteristic time scale of the information transfer that flags the onset of information-driven collective phenomena. Furthermore, our approach identifies an order-disorder transition in the directed network of influence between social subunits. In the absence of clear exogenous driving, social collective phenomena can be represented as endogenously driven structural transitions of the information transfer network. This study provides results that can help define models and predictive algorithms for the analysis of societal events based on open source data. PMID:27051875
Social networks and cooperation in hunter-gatherers.
Apicella, Coren L; Marlowe, Frank W; Fowler, James H; Christakis, Nicholas A
2012-01-25
Social networks show striking structural regularities, and both theory and evidence suggest that networks may have facilitated the development of large-scale cooperation in humans. Here, we characterize the social networks of the Hadza, a population of hunter-gatherers in Tanzania. We show that Hadza networks have important properties also seen in modernized social networks, including a skewed degree distribution, degree assortativity, transitivity, reciprocity, geographic decay and homophily. We demonstrate that Hadza camps exhibit high between-group and low within-group variation in public goods game donations. Network ties are also more likely between people who give the same amount, and the similarity in cooperative behaviour extends up to two degrees of separation. Social distance appears to be as important as genetic relatedness and physical proximity in explaining assortativity in cooperation. Our results suggest that certain elements of social network structure may have been present at an early point in human history. Also, early humans may have formed ties with both kin and non-kin, based in part on their tendency to cooperate. Social networks may thus have contributed to the emergence of cooperation.
The dynamics of information-driven coordination phenomena: A transfer entropy analysis.
Borge-Holthoefer, Javier; Perra, Nicola; Gonçalves, Bruno; González-Bailón, Sandra; Arenas, Alex; Moreno, Yamir; Vespignani, Alessandro
2016-04-01
Data from social media provide unprecedented opportunities to investigate the processes that govern the dynamics of collective social phenomena. We consider an information theoretical approach to define and measure the temporal and structural signatures typical of collective social events as they arise and gain prominence. We use the symbolic transfer entropy analysis of microblogging time series to extract directed networks of influence among geolocalized subunits in social systems. This methodology captures the emergence of system-level dynamics close to the onset of socially relevant collective phenomena. The framework is validated against a detailed empirical analysis of five case studies. In particular, we identify a change in the characteristic time scale of the information transfer that flags the onset of information-driven collective phenomena. Furthermore, our approach identifies an order-disorder transition in the directed network of influence between social subunits. In the absence of clear exogenous driving, social collective phenomena can be represented as endogenously driven structural transitions of the information transfer network. This study provides results that can help define models and predictive algorithms for the analysis of societal events based on open source data.
Miyamoto, Yuri
2017-12-01
A large body of research in Western cultures has demonstrated the psychological and health effects of social class. This review outlines a cultural psychological approach to social stratification by comparing psychological and health manifestations of social class across Western and East Asian cultures. These comparisons suggest that cultural meaning systems shape how people make meaning and respond to material/structural conditions associated with social class, thereby leading to culturally divergent manifestations of social class. Specifically, unlike their counterparts in Western cultures, individuals of high social class in East Asian cultures tend to show high conformity and other-orientated psychological attributes. In addition, cultures differ in how social class impacts health (i.e. on which bases, through which pathways, and to what extent). Copyright © 2017 Elsevier Ltd. All rights reserved.
Social network extraction based on Web: 3. the integrated superficial method
NASA Astrophysics Data System (ADS)
Nasution, M. K. M.; Sitompul, O. S.; Noah, S. A.
2018-03-01
The Web as a source of information has become part of the social behavior information. Although, by involving only the limitation of information disclosed by search engines in the form of: hit counts, snippets, and URL addresses of web pages, the integrated extraction method produces a social network not only trusted but enriched. Unintegrated extraction methods may produce social networks without explanation, resulting in poor supplemental information, or resulting in a social network of durmise laden, consequently unrepresentative social structures. The integrated superficial method in addition to generating the core social network, also generates an expanded network so as to reach the scope of relation clues, or number of edges computationally almost similar to n(n - 1)/2 for n social actors.
Samberg, Leah H; Fishman, Lila; Allendorf, Fred W
2013-01-01
Conservation strategies are increasingly driven by our understanding of the processes and patterns of gene flow across complex landscapes. The expansion of population genetic approaches into traditional agricultural systems requires understanding how social factors contribute to that landscape, and thus to gene flow. This study incorporates extensive farmer interviews and population genetic analysis of barley landraces (Hordeum vulgare) to build a holistic picture of farmer-mediated geneflow in an ancient, traditional agricultural system in the highlands of Ethiopia. We analyze barley samples at 14 microsatellite loci across sites at varying elevations and locations across a contiguous mountain range, and across farmer-identified barley types and management strategies. Genetic structure is analyzed using population-based and individual-based methods, including measures of population differentiation and genetic distance, multivariate Principal Coordinate Analysis, and Bayesian assignment tests. Phenotypic analysis links genetic patterns to traits identified by farmers. We find that differential farmer management strategies lead to markedly different patterns of population structure across elevation classes and barley types. The extent to which farmer seed management appears as a stronger determinant of spatial structure than the physical landscape highlights the need for incorporation of social, landscape, and genetic data for the design of conservation strategies in human-influenced landscapes. PMID:24478796
Evolution of Cooperation in Social Dilemmas on Complex Networks
Iyer, Swami; Killingback, Timothy
2016-01-01
Cooperation in social dilemmas is essential for the functioning of systems at multiple levels of complexity, from the simplest biological organisms to the most sophisticated human societies. Cooperation, although widespread, is fundamentally challenging to explain evolutionarily, since natural selection typically favors selfish behavior which is not socially optimal. Here we study the evolution of cooperation in three exemplars of key social dilemmas, representing the prisoner’s dilemma, hawk-dove and coordination classes of games, in structured populations defined by complex networks. Using individual-based simulations of the games on model and empirical networks, we give a detailed comparative study of the effects of the structural properties of a network, such as its average degree, variance in degree distribution, clustering coefficient, and assortativity coefficient, on the promotion of cooperative behavior in all three classes of games. PMID:26928428
Valk, Sofie L; Bernhardt, Boris C; Trautwein, Fynn-Mathis; Böckler, Anne; Kanske, Philipp; Guizard, Nicolas; Collins, D Louis; Singer, Tania
2017-10-01
Although neuroscientific research has revealed experience-dependent brain changes across the life span in sensory, motor, and cognitive domains, plasticity relating to social capacities remains largely unknown. To investigate whether the targeted mental training of different cognitive and social skills can induce specific changes in brain morphology, we collected longitudinal magnetic resonance imaging (MRI) data throughout a 9-month mental training intervention from a large sample of adults between 20 and 55 years of age. By means of various daily mental exercises and weekly instructed group sessions, training protocols specifically addressed three functional domains: (i) mindfulness-based attention and interoception, (ii) socio-affective skills (compassion, dealing with difficult emotions, and prosocial motivation), and (iii) socio-cognitive skills (cognitive perspective-taking on self and others and metacognition). MRI-based cortical thickness analyses, contrasting the different training modules against each other, indicated spatially diverging changes in cortical morphology. Training of present-moment focused attention mostly led to increases in cortical thickness in prefrontal regions, socio-affective training induced plasticity in frontoinsular regions, and socio-cognitive training included change in inferior frontal and lateral temporal cortices. Module-specific structural brain changes correlated with training-induced behavioral improvements in the same individuals in domain-specific measures of attention, compassion, and cognitive perspective-taking, respectively, and overlapped with task-relevant functional networks. Our longitudinal findings indicate structural plasticity in well-known socio-affective and socio-cognitive brain networks in healthy adults based on targeted short daily mental practices. These findings could promote the development of evidence-based mental training interventions in clinical, educational, and corporate settings aimed at cultivating social intelligence, prosocial motivation, and cooperation.
Valk, Sofie L.; Bernhardt, Boris C.; Trautwein, Fynn-Mathis; Böckler, Anne; Kanske, Philipp; Guizard, Nicolas; Collins, D. Louis; Singer, Tania
2017-01-01
Although neuroscientific research has revealed experience-dependent brain changes across the life span in sensory, motor, and cognitive domains, plasticity relating to social capacities remains largely unknown. To investigate whether the targeted mental training of different cognitive and social skills can induce specific changes in brain morphology, we collected longitudinal magnetic resonance imaging (MRI) data throughout a 9-month mental training intervention from a large sample of adults between 20 and 55 years of age. By means of various daily mental exercises and weekly instructed group sessions, training protocols specifically addressed three functional domains: (i) mindfulness-based attention and interoception, (ii) socio-affective skills (compassion, dealing with difficult emotions, and prosocial motivation), and (iii) socio-cognitive skills (cognitive perspective-taking on self and others and metacognition). MRI-based cortical thickness analyses, contrasting the different training modules against each other, indicated spatially diverging changes in cortical morphology. Training of present-moment focused attention mostly led to increases in cortical thickness in prefrontal regions, socio-affective training induced plasticity in frontoinsular regions, and socio-cognitive training included change in inferior frontal and lateral temporal cortices. Module-specific structural brain changes correlated with training-induced behavioral improvements in the same individuals in domain-specific measures of attention, compassion, and cognitive perspective-taking, respectively, and overlapped with task-relevant functional networks. Our longitudinal findings indicate structural plasticity in well-known socio-affective and socio-cognitive brain networks in healthy adults based on targeted short daily mental practices. These findings could promote the development of evidence-based mental training interventions in clinical, educational, and corporate settings aimed at cultivating social intelligence, prosocial motivation, and cooperation. PMID:28983507
Teig, Ellen; Amulya, Joy; Bardwell, Lisa; Buchenau, Michael; Marshall, Julie A; Litt, Jill S
2009-12-01
Community gardens are viewed as a potentially useful environmental change strategy to promote active and healthy lifestyles but the scientific evidence base for gardens is limited. As a step towards understanding whether gardens are a viable health promotion strategy for local communities, we set out to examine the social processes that might explain the connection between gardens, garden participation and health. We analyzed data from semi-structured interviews with community gardeners in Denver. The analysis examined social processes described by community gardeners and how those social processes were cultivated by or supportive of activities in community gardens. After presenting results describing these social processes and the activities supporting them, we discuss the potential for the place-based social processes found in community gardens to support collective efficacy, a powerful mechanism for enhancing the role of gardens in promoting health.
Hansen-Nord, Nete Sloth; Kjaerulf, Finn; Almendarez, Juan; Rodas, Victor Morales; Castro, Julio
2016-11-01
To examine the impact of a 3 year community-based violence prevention intervention on risk of violence and social capital in two poor urban communities in Honduras in 2011-2014. A quasi-experimental design pre and post implementation of the intervention was conducted based on data from two randomly selected samples using the same structured questionnaire in 2011 and in 2014. Community members had a 42 % lower risk of violence in 2014 compared to 2011. There was a positive relation between participation in the intervention and structural social capital, and participants had more than twice the likelihood of engaging in citizenship activities compared to the general population. The intervention contributed to decreasing violence and increasing community resilience in two urban areas in Honduras. Citizenship activities and active community participation in the violence prevention agenda rather than social trust and cohesion characteristics was affected by the intervention. This research introduces important lessons learned to future researchers aiming to retrieve very sensitive data in a similarly violent setting, and provides strong research opportunities within areas, which to this date remain undiscovered.
Shao, Quan; Jia, Meng
2015-03-18
Since the outbreak of pandemics, influenza has caused extensive attention in the field of public health. It is actually hard to distinguish what is the most effective method to control the influenza transmission within airport terminal. The purpose of this study was to quantitatively evaluate the influences of passenger source, immunity difference and social relation structure on the influenza transmission in terminal. A method combining hierarchical structure of personal contact network with agent-based SEIR model was proposed to analyze the characteristics of influenza diffusion within terminal. Based on the spatial distance between individuals, the hierarchical structure of personal contact network was defined to construct a complex relationship of passengers in the real world. Moreover, the agent-based SEIR model was improved by considering the individual level of influenza spread characteristics. To evaluate the method, this process was fused in simulation based on the constructed personal contact network. In the terminal we investigated, personal contact network was defined by following four layers: social relation structure, procedure partition, procedure area, and the whole terminal. With the growing of layer, the degree distribution curves move right. The value of degree distribution p(k) reached a peak at a specific value, and then back down. Besides, with the increase of layer α, the clustering coefficients presented a tendency to exponential decay. Based on the influenza transmission experiments, the main infected areas were concluded when considering different factors. Moreover, partition of passenger sources was found to impact a lot in departure, while social relation structure imposed a great influence in arrival. Besides, immunity difference exerted no obvious effect on the spread of influenza in the transmission process both in departure and arrival. The proposed method is efficient to reproduce the evolution process of influenza transmission, and exhibits various roles of each factor in different processes, also better reflects the effect of passenger topological character on influenza spread. It contributes to proposing effective influenza measures by airport relevant department and improving the efficiency and ability of epidemic prevention on the public health.
ERIC Educational Resources Information Center
Song, Xin-Yuan; Lee, Sik-Yum
2006-01-01
Structural equation models are widely appreciated in social-psychological research and other behavioral research to model relations between latent constructs and manifest variables and to control for measurement error. Most applications of SEMs are based on fully observed continuous normal data and models with a linear structural equation.…
Fractal multi-level organisation of human groups in a virtual world.
Fuchs, Benedikt; Sornette, Didier; Thurner, Stefan
2014-10-06
Humans are fundamentally social. They form societies which consist of hierarchically layered nested groups of various quality, size, and structure. The anthropologic literature has classified these groups as support cliques, sympathy groups, bands, cognitive groups, tribes, linguistic groups, and so on. Anthropologic data show that, on average, each group consists of approximately three subgroups. However, a general understanding of the structural dependence of groups at different layers is largely missing. We extend these early findings to a very large high-precision large-scale internet-based social network data. We analyse the organisational structure of a complete, multi-relational, large social multiplex network of a human society consisting of about 400,000 odd players of an open-ended massive multiplayer online game for which we know all about their various group memberships at different layers. Remarkably, the online players' society exhibits the same type of structured hierarchical layers as found in hunter-gatherer societies. Our findings suggest that the hierarchical organisation of human society is deeply nested in human psychology.
Social learning strategies modify the effect of network structure on group performance.
Barkoczi, Daniel; Galesic, Mirta
2016-10-07
The structure of communication networks is an important determinant of the capacity of teams, organizations and societies to solve policy, business and science problems. Yet, previous studies reached contradictory results about the relationship between network structure and performance, finding support for the superiority of both well-connected efficient and poorly connected inefficient network structures. Here we argue that understanding how communication networks affect group performance requires taking into consideration the social learning strategies of individual team members. We show that efficient networks outperform inefficient networks when individuals rely on conformity by copying the most frequent solution among their contacts. However, inefficient networks are superior when individuals follow the best member by copying the group member with the highest payoff. In addition, groups relying on conformity based on a small sample of others excel at complex tasks, while groups following the best member achieve greatest performance for simple tasks. Our findings reconcile contradictory results in the literature and have broad implications for the study of social learning across disciplines.
Social learning strategies modify the effect of network structure on group performance
NASA Astrophysics Data System (ADS)
Barkoczi, Daniel; Galesic, Mirta
2016-10-01
The structure of communication networks is an important determinant of the capacity of teams, organizations and societies to solve policy, business and science problems. Yet, previous studies reached contradictory results about the relationship between network structure and performance, finding support for the superiority of both well-connected efficient and poorly connected inefficient network structures. Here we argue that understanding how communication networks affect group performance requires taking into consideration the social learning strategies of individual team members. We show that efficient networks outperform inefficient networks when individuals rely on conformity by copying the most frequent solution among their contacts. However, inefficient networks are superior when individuals follow the best member by copying the group member with the highest payoff. In addition, groups relying on conformity based on a small sample of others excel at complex tasks, while groups following the best member achieve greatest performance for simple tasks. Our findings reconcile contradictory results in the literature and have broad implications for the study of social learning across disciplines.
Bazzi, Angela Robertson; Syvertsen, Jennifer L.; Rolón, María Luisa; Martinez, Gustavo; Rangel, Gudelia; Vera, Alicia; Amaro, Hortensia; Ulibarri, Monica D.; Hernandez, Daniel O.; Strathdee, Steffanie A.
2015-01-01
Background Available drug treatment modalities may inadequately address social and structural contexts surrounding recovery efforts. Methods This mixed methods analysis drew on (1) surveys with female sex workers and their intimate male partners and (2) semi-structured interviews with a subsample of 41 couples (n = 82 individuals, 123 total interviews) in Northern Mexico. Descriptive and content analyses examined drug cessation and treatment experiences. Results Perceived need for drug treatment was high, yet only 35% had ever accessed services. Financial and institutional barriers (childcare needs, sex-segregated facilities) prevented partners from enrolling in residential programs together or simultaneously, leading to self-treatment attempts. Outpatient methadone was experienced more positively, yet financial constraints limited access and treatment duration. Relapse was common, particularly when one partner enrolled alone while the other continued using drugs. Conclusions Affordable, accessible, evidence-based drug treatment and recovery services that acknowledge social and structural contexts surrounding recovery are urgently needed for drug-involved couples. PMID:26470596
Fractal multi-level organisation of human groups in a virtual world
Fuchs, Benedikt; Sornette, Didier; Thurner, Stefan
2014-01-01
Humans are fundamentally social. They form societies which consist of hierarchically layered nested groups of various quality, size, and structure. The anthropologic literature has classified these groups as support cliques, sympathy groups, bands, cognitive groups, tribes, linguistic groups, and so on. Anthropologic data show that, on average, each group consists of approximately three subgroups. However, a general understanding of the structural dependence of groups at different layers is largely missing. We extend these early findings to a very large high-precision large-scale internet-based social network data. We analyse the organisational structure of a complete, multi-relational, large social multiplex network of a human society consisting of about 400,000 odd players of an open-ended massive multiplayer online game for which we know all about their various group memberships at different layers. Remarkably, the online players' society exhibits the same type of structured hierarchical layers as found in hunter-gatherer societies. Our findings suggest that the hierarchical organisation of human society is deeply nested in human psychology. PMID:25283998
Active influence in dynamical models of structural balance in social networks
NASA Astrophysics Data System (ADS)
Summers, Tyler H.; Shames, Iman
2013-07-01
We consider a nonlinear dynamical system on a signed graph, which can be interpreted as a mathematical model of social networks in which the links can have both positive and negative connotations. In accordance with a concept from social psychology called structural balance, the negative links play a key role in both the structure and dynamics of the network. Recent research has shown that in a nonlinear dynamical system modeling the time evolution of “friendliness levels” in the network, two opposing factions emerge from almost any initial condition. Here we study active external influence in this dynamical model and show that any agent in the network can achieve any desired structurally balanced state from any initial condition by perturbing its own local friendliness levels. Based on this result, we also introduce a new network centrality measure for signed networks. The results are illustrated in an international-relations network using United Nations voting record data from 1946 to 2008 to estimate friendliness levels amongst various countries.
Fractal multi-level organisation of human groups in a virtual world
NASA Astrophysics Data System (ADS)
Fuchs, Benedikt; Sornette, Didier; Thurner, Stefan
2014-10-01
Humans are fundamentally social. They form societies which consist of hierarchically layered nested groups of various quality, size, and structure. The anthropologic literature has classified these groups as support cliques, sympathy groups, bands, cognitive groups, tribes, linguistic groups, and so on. Anthropologic data show that, on average, each group consists of approximately three subgroups. However, a general understanding of the structural dependence of groups at different layers is largely missing. We extend these early findings to a very large high-precision large-scale internet-based social network data. We analyse the organisational structure of a complete, multi-relational, large social multiplex network of a human society consisting of about 400,000 odd players of an open-ended massive multiplayer online game for which we know all about their various group memberships at different layers. Remarkably, the online players' society exhibits the same type of structured hierarchical layers as found in hunter-gatherer societies. Our findings suggest that the hierarchical organisation of human society is deeply nested in human psychology.
Stylized facts in social networks: Community-based static modeling
NASA Astrophysics Data System (ADS)
Jo, Hang-Hyun; Murase, Yohsuke; Török, János; Kertész, János; Kaski, Kimmo
2018-06-01
The past analyses of datasets of social networks have enabled us to make empirical findings of a number of aspects of human society, which are commonly featured as stylized facts of social networks, such as broad distributions of network quantities, existence of communities, assortative mixing, and intensity-topology correlations. Since the understanding of the structure of these complex social networks is far from complete, for deeper insight into human society more comprehensive datasets and modeling of the stylized facts are needed. Although the existing dynamical and static models can generate some stylized facts, here we take an alternative approach by devising a community-based static model with heterogeneous community sizes and larger communities having smaller link density and weight. With these few assumptions we are able to generate realistic social networks that show most stylized facts for a wide range of parameters, as demonstrated numerically and analytically. Since our community-based static model is simple to implement and easily scalable, it can be used as a reference system, benchmark, or testbed for further applications.
Dynamic social networks based on movement
Scharf, Henry; Hooten, Mevin B.; Fosdick, Bailey K.; Johnson, Devin S.; London, Joshua M.; Durban, John W.
2016-01-01
Network modeling techniques provide a means for quantifying social structure in populations of individuals. Data used to define social connectivity are often expensive to collect and based on case-specific, ad hoc criteria. Moreover, in applications involving animal social networks, collection of these data is often opportunistic and can be invasive. Frequently, the social network of interest for a given population is closely related to the way individuals move. Thus, telemetry data, which are minimally invasive and relatively inexpensive to collect, present an alternative source of information. We develop a framework for using telemetry data to infer social relationships among animals. To achieve this, we propose a Bayesian hierarchical model with an underlying dynamic social network controlling movement of individuals via two mechanisms: an attractive effect and an aligning effect. We demonstrate the model and its ability to accurately identify complex social behavior in simulation, and apply our model to telemetry data arising from killer whales. Using auxiliary information about the study population, we investigate model validity and find the inferred dynamic social network is consistent with killer whale ecology and expert knowledge.
The neural mediators of kindness-based meditation: a theoretical model
Mascaro, Jennifer S.; Darcher, Alana; Negi, Lobsang T.; Raison, Charles L.
2015-01-01
Although kindness-based contemplative practices are increasingly employed by clinicians and cognitive researchers to enhance prosocial emotions, social cognitive skills, and well-being, and as a tool to understand the basic workings of the social mind, we lack a coherent theoretical model with which to test the mechanisms by which kindness-based meditation may alter the brain and body. Here, we link contemplative accounts of compassion and loving-kindness practices with research from social cognitive neuroscience and social psychology to generate predictions about how diverse practices may alter brain structure and function and related aspects of social cognition. Contingent on the nuances of the practice, kindness-based meditation may enhance the neural systems related to faster and more basic perceptual or motor simulation processes, simulation of another’s affective body state, slower and higher-level perspective-taking, modulatory processes such as emotion regulation and self/other discrimination, and combinations thereof. This theoretical model will be discussed alongside best practices for testing such a model and potential implications and applications of future work. PMID:25729374
Comparison of social and physical free energies on a toy model.
Kasac, Josip; Stefancic, Hrvoje; Stepanic, Josip
2004-01-01
Social free energy has been recently introduced as a measure of social action obtainable in a given social system, without changes in its structure. The authors of this paper argue that social free energy surpasses the gap between the verbally formulated value sets of social systems and the quantitatively based predictions. This point is further developed by analyzing the relation between the social and the physical free energy. Generically, this is done for a particular type of social dynamics. The extracted type of social dynamics is one of many realistic types of the differing proportion of social and economic elements. Numerically, this has been done for a toy model of interacting agents. The values of the social and physical free energies are, within the numerical accuracy, equivalent in the class of nontrivial, quasistationary model states.
Regional surnames and genetic structure in Great Britain.
Kandt, Jens; Cheshire, James A; Longley, Paul A
2016-10-01
Following the increasing availability of DNA-sequenced data, the genetic structure of populations can now be inferred and studied in unprecedented detail. Across social science, this innovation is shaping new bio-social research agendas, attracting substantial investment in the collection of genetic, biological and social data for large population samples. Yet genetic samples are special because the precise populations that they represent are uncertain and ill-defined. Unlike most social surveys, a genetic sample's representativeness of the population cannot be established by conventional procedures of statistical inference, and the implications for population-wide generalisations about bio-social phenomena are little understood. In this paper, we seek to address these problems by linking surname data to a censored and geographically uneven sample of DNA scans, collected for the People of the British Isles study. Based on a combination of global and local spatial correspondence measures, we identify eight regions in Great Britain that are most likely to represent the geography of genetic structure of Great Britain's long-settled population. We discuss the implications of this regionalisation for bio-social investigations. We conclude that, as the often highly selective collection of DNA and biomarkers becomes a more common practice, geography is crucial to understanding variation in genetic information within diverse populations.
Golden, Shelley D; McLeroy, Kenneth R; Green, Lawrence W; Earp, Jo Anne L; Lieberman, Lisa D
2015-04-01
Efforts to change policies and the environments in which people live, work, and play have gained increasing attention over the past several decades. Yet health promotion frameworks that illustrate the complex processes that produce health-enhancing structural changes are limited. Building on the experiences of health educators, community activists, and community-based researchers described in this supplement and elsewhere, as well as several political, social, and behavioral science theories, we propose a new framework to organize our thinking about producing policy, environmental, and other structural changes. We build on the social ecological model, a framework widely employed in public health research and practice, by turning it inside out, placing health-related and other social policies and environments at the center, and conceptualizing the ways in which individuals, their social networks, and organized groups produce a community context that fosters healthy policy and environmental development. We conclude by describing how health promotion practitioners and researchers can foster structural change by (1) conveying the health and social relevance of policy and environmental change initiatives, (2) building partnerships to support them, and (3) promoting more equitable distributions of the resources necessary for people to meet their daily needs, control their lives, and freely participate in the public sphere. © 2015 Society for Public Health Education.
A systematic review protocol: social network analysis of tobacco use.
Maddox, Raglan; Davey, Rachel; Lovett, Ray; van der Sterren, Anke; Corbett, Joan; Cochrane, Tom
2014-08-08
Tobacco use is the single most preventable cause of death in the world. Evidence indicates that behaviours such as tobacco use can influence social networks, and that social network structures can influence behaviours. Social network analysis provides a set of analytic tools to undertake methodical analysis of social networks. We will undertake a systematic review to provide a comprehensive synthesis of the literature regarding social network analysis and tobacco use. The review will answer the following research questions: among participants who use tobacco, does social network structure/position influence tobacco use? Does tobacco use influence peer selection? Does peer selection influence tobacco use? We will follow the Preferred Reporting Items for Systemic Reviews and Meta-Analyses (PRISMA) guidelines and search the following databases for relevant articles: CINAHL (Cumulative Index to Nursing and Allied Health Literature); Informit Health Collection; PsycINFO; PubMed/MEDLINE; Scopus/Embase; Web of Science; and the Wiley Online Library. Keywords include tobacco; smoking; smokeless; cigarettes; cigar and 'social network' and reference lists of included articles will be hand searched. Studies will be included that provide descriptions of social network analysis of tobacco use.Qualitative, quantitative and mixed method data that meets the inclusion criteria for the review, including methodological rigour, credibility and quality standards, will be synthesized using narrative synthesis. Results will be presented using outcome statistics that address each of the research questions. This systematic review will provide a timely evidence base on the role of social network analysis of tobacco use, forming a basis for future research, policy and practice in this area. This systematic review will synthesise the evidence, supporting the hypothesis that social network structures can influence tobacco use. This will also include exploring the relationship between social network structure, social network position, peer selection, peer influence and tobacco use across all age groups, and across different demographics. The research will increase our understanding of social networks and their impact on tobacco use, informing policy and practice while highlighting gaps in the literature and areas for further research.
Kuriakose, Selvia; Lahiri, Uttama
2015-07-01
Individuals with Autism are characterized by deficits in socialization and communication. In recent years several assistive technologies, e.g., Virtual Reality (VR), have been investigated to address the socialization deficits in these individuals. Presently available VR-based systems address various aspects of social communication in an isolated manner and without monitoring one's affective state such as, anxiety. However, in conventional observation-based therapy, a therapist adjusts the intervention paradigm by monitoring one's anxiety level. But, often these individuals have an inherent inability to explicitly express their anxiety thereby inducing limitations on conventional techniques. Physiological signals being continuously available and not directly impacted by these communication difficulties can be alternatively used as markers of one's anxiety level. In our research we aim at designing a Virtual-reality bAsed Social-communication Task (VAST) system that can address the various aspects of social communication, e.g., social context, subtle social cues, emotional expression, etc., in a cumulative and structured way. In addition, we augment this with a capability to use one's physiological signals as markers of one's anxiety level. In our preliminary feasibility study we investigate the potential of VAST to cause variations in one's performance and anxiety level that can be mapped from one's physiological indices.
Sah, Pratha; Nussear, Kenneth E.; Esque, Todd C.; Aiello, Christina M.; Hudson, Peter J.; Bansal, Shweta
2016-01-01
For several species, refuges (such as burrows, dens, roosts, nests) are an essential resource for protection from predators and extreme environmental conditions. Refuges also serve as focal sites for social interactions, including mating, courtship, and aggression. Knowledge of refuge use patterns can therefore provide information about social structure, mating, and foraging success, as well as the robustness and health of wildlife populations, especially for species considered to be relatively solitary. In this study, we construct networks of burrow use to infer social associations in a threatened wildlife species typically considered solitary—the desert tortoise. We show that tortoise social networks are significantly different than null networks of random associations, and have moderate spatial constraints. We next use statistical models to identify major mechanisms behind individual-level variation in tortoise burrow use, popularity of burrows in desert tortoise habitat, and test for stressor-driven changes in refuge use patterns. We show that seasonal variation has a strong impact on tortoise burrow switching behavior. On the other hand, burrow age and topographical condition influence the number of tortoises visiting a burrow in desert tortoise habitat. Of three major population stressors affecting this species (translocation, drought, disease), translocation alters tortoise burrow switching behavior, with translocated animals visiting fewer unique burrows than residents. In a species that is not social, our study highlights the importance of leveraging refuge use behavior to study the presence of and mechanisms behind non-random social structure and individual-level variation. Our analysis of the impact of stressors on refuge-based social structure further emphasizes the potential of this method to detect environmental or anthropogenic disturbances.
Contributions of the Discipline of Geography to the Social Studies.
ERIC Educational Resources Information Center
de Leeuw, G.
Teaching geography as a system of inquiry to elementary and secondary students in the Alberta school system is justified in this paper, based upon the three related assumptions that geography has a structure that contributes significantly to social knowledge; has in the past often been misinterpreted; and could be an interesting part of the social…
Bullying Experiences of Students with Social, Emotional and Behavioural Difficulties (SEBD)
ERIC Educational Resources Information Center
Brown Hajdukova, Eva; Hornby, Garry; Cushman, Penni
2016-01-01
This article is based on the accounts of 29 boys identified as having severe social, emotional and behavioural difficulties (SEBD) who were attending a residential school in New Zealand. Through in-depth, semi-structured and focus group interviews, a number of salient features of their schooling experiences emerged. One of these features was the…
Caught in the Triangle of Mobility: Social, Residential and Pupil Mobility
ERIC Educational Resources Information Center
Bereményi, Bálint Ábel; Carrasco, Silvia
2018-01-01
This article examines the school choices of families who have recently experienced downward mobility during the economic crisis in Spain. Based on semi-structured interviews we analyse the educational strategies of the families in a Bourdieusian framework, focusing on how they cope with the loss of their perceived social status. Prior to the…
ERIC Educational Resources Information Center
Dupont, Serge; Galand, Benoit; Nils, Frédéric; Hospel, Virginie
2014-01-01
Introduction: The present study aimed to test a theoretically-based model (the self-system model of motivational development) including at the same time the extent to which the social context provides structure, warmth and autonomy support, the students' perceived autonomy, relatedness and competence, and behavioral, cognitive and emotional…
Philosophical Bases of Women in Sport.
ERIC Educational Resources Information Center
Oglesby, Carole A.
The special problems faced by black women in sports and in American society are discussed. Ways of bringing about change in social attitudes and in interaction between the races and the sexes are considered. Special emphasis is placed on the need to develop a sense of worth and an understanding of the basic social structures which breed racial and…
Using Social Networks to Enhance Teaching and Learning Experiences in Higher Learning Institutions
ERIC Educational Resources Information Center
Balakrishnan, Vimala
2014-01-01
The paper first explores the factors that affect the use of social networks to enhance teaching and learning experiences among students and lecturers, using structured questionnaires prepared based on the Push-Pull-Mooring framework. A total of 455 students and lecturers from higher learning institutions in Malaysia participated in this study.…
ERIC Educational Resources Information Center
Hansen, Klaus-Henning
1997-01-01
Raises the question of the philosophical base of a liberal technology education, assuming that it cannot be provided simply by an engineer's perspective. Suggests a series of questions for reconstructing the cultural meaning of technology and a structural model that shows how meaning is generated through a variety of social relationships;…
Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study
Grecucci, Alessandro; Rubicondo, Danilo; Siugzdaite, Roma; Surian, Luca; Job, Remo
2016-01-01
Autism is a neurodevelopmental disorder that mainly affects social interaction and communication. Evidence from behavioral and functional MRI studies supports the hypothesis that dysfunctional mechanisms involving social brain structures play a major role in autistic symptomatology. However, the investigation of anatomical abnormalities in the brain of people with autism has led to inconsistent results. We investigated whether specific brain regions, known to display functional abnormalities in autism, may exhibit mutual and peculiar patterns of covariance in their gray-matter concentrations. We analyzed structural MRI images of 32 young men affected by autistic disorder (AD) and 50 healthy controls. Controls were matched for sex, age, handedness. IQ scores were also monitored to avoid confounding. A multivariate Source-Based Morphometry (SBM) was applied for the first time on AD and controls to detect maximally independent networks of gray matter. Group comparison revealed a gray-matter source that showed differences in AD compared to controls. This network includes broad temporal regions involved in social cognition and high-level visual processing, but also motor and executive areas of the frontal lobe. Notably, we found that gray matter differences, as reflected by SBM, significantly correlated with social and behavioral deficits displayed by AD individuals and encoded via the Autism Diagnostic Observation Schedule scores. These findings provide support for current hypotheses about the neural basis of atypical social and mental states information processing in autism. PMID:27630538
Social structure of collared peccaries (Pecari tajacu): does relatedness matter?
Biondo, Cibele; Izar, Patrícia; Miyaki, Cristina Y; Bussab, Vera S R
2014-11-01
Relatedness is considered an important factor in shaping social structure as the association among kin might facilitate cooperation via inclusive fitness benefits. We addressed here the influence of relatedness on the social structure of a Neotropical ungulate, the collared peccary (Pecari tajacu). As peccaries are highly social and cooperative, live in stable cohesive herds and show certain degree of female philopatry and high mean relatedness within herds, we hypothesized that kin would be spatially closer and display more amicable and less agonistic interactions than non-kin. We recorded spatial association patterns and rates of interactions of two captive groups. Pairwise relatedness was calculated based on microsatellite data. As predicted, we found that kin were spatially closer than non-kin, which suggests that relatedness is a good predictor of spatial association in peccaries. However, relatedness did not predict the rates of social interactions. Although our results indirectly indicate some role of sex, age and familiarity, further studies are needed to clarify the factors that shape the rates of interactions in collared peccaries. This article is part of a Special Issue entitled: Neotropical Behaviour. Copyright © 2014 Elsevier B.V. All rights reserved.
Skeleton of weighted social network
NASA Astrophysics Data System (ADS)
Zhang, X.; Zhu, J.
2013-03-01
In the literature of social networks, understanding topological structure is an important scientific issue. In this paper, we construct a network from mobile phone call records and use the cumulative number of calls as a measure of the weight of a social tie. We extract skeletons from the weighted social network on the basis of the weights of ties, and we study their properties. We find that strong ties can support the skeleton in the network by studying the percolation characters. We explore the centrality of w-skeletons based on the correlation between some centrality measures and the skeleton index w of a vertex, and we find that the average centrality of a w-skeleton increases as w increases. We also study the cumulative degree distribution of the successive w-skeletons and find that as w increases, the w-skeleton tends to become more self-similar. Furthermore, fractal characteristics appear in higher w-skeletons. We also explore the global information diffusion efficiency of w-skeletons using simulations, from which we can see that the ties in the high w-skeletons play important roles in information diffusion. Identifying such a simple structure of a w-skeleton is a step forward toward understanding and representing the topological structure of weighted social networks.
Altevers, J; Lukaschek, K; Baumert, J; Kruse, J; Meisinger, C; Emeny, R T; Ladwig, K H
2016-01-01
Several psychosocial factors have been shown to increase the risk of Type 2 diabetes mellitus. This study investigated the association between structural social support and incidence of Type 2 diabetes mellitus in men and women. Data were derived from three population-based MONICA/KORA surveys conducted in 1984-1995 in the Augsburg region (southern Germany) and followed up by 2009. The study population comprised 8952 participants (4669 men/4283 women) aged 30-74 years without diabetes at baseline. Structural social support was assessed using the Social Network Index. Sex-specific hazard ratios were estimated from Cox proportional hazard models. Within follow-up, 904 incident Type 2 diabetes mellitus cases (558 men, 346 women) were observed. Crude incidence rates for Type 2 diabetes mellitus per 10 000 person-years were substantially higher in poor compared with good structural social support (men: 94 vs. 69, women: 58 vs. 43). After adjustment for age, survey, parental history of diabetes, smoking status, alcohol intake, physical activity, hypertension, dyslipidaemia, BMI, education, sleep complaints and depressed mood, risk of Type 2 diabetes mellitus for participants with poor compared with good structural social support was 1.31 [95% confidence interval (CI) = 1.11-1.55] in men and 1.10 (95% CI = 0.88-1.37) in women. Stratified analyses revealed a hazard ratio of 1.50 (95% CI = 1.23-1.83) in men with a low level of education and 0.87 (95% CI = 0.62-1.22) in men with a high level of education (P for interaction: 0.0082). Poor structural social support is associated with Type 2 diabetes mellitus in men. This association is independent of risk factors at baseline and is particularly pronounced in men with a low level of education. © 2015 The Authors. Diabetic Medicine © 2015 Diabetes UK.
Davis, Shannon N; Risman, Barbara J
2015-01-01
Sociology of gender has developed beyond a personality-centered idea of "sex-roles" to an approach that stresses interaction and social structure. At the same time, there has been a concurrent development in the psychological sex-differences and medical literatures toward including the biological bases of sex-typed behavior and gender identities. In this paper, while we conceptualize gender as a social structure, we focus only on the individual level of analysis: testing the relative strength of (maternal circulating) prenatal hormones, childhood socialization, and the power of expectations attached to adult social roles (cultural interactionist) as explanations for women's self-reported feminine and masculine selves. Our findings are complex, and support some importance of each theory. Prenatal hormones, childhood socialization, and cultural interactionism were all influential factors for gendered selves. While cultural expectations predicted only feminine selves, prenatal hormones were more robust predictors of masculine sense of self. While personality may be a relatively stable characteristic influenced by the body and childhood socialization, our results reinforce the importance of studying how the social world responds to and reinforces gendered personality. Copyright © 2014 Elsevier Inc. All rights reserved.
Social justice and intercountry adoptions: the role of the U.S. social work community.
Roby, Jini L; Rotabi, Karen; Bunkers, Kelley M
2013-10-01
Using social justice as the conceptual foundation, the authors present the structural barriers to socially just intercountry adoptions (ICAs) that can exploit and oppress vulnerable children and families participating in ICAs. They argue that such practices threaten the integrity of social work practice in that arena and the survival of ICA as a placement option. Government structures, disparity of power between countries and families on both sides, perceptions regarding poverty, cultural incompetence, misconceptions about orphans and orphanages, lack of knowledge about the impact of institution-based care, and the profit motive are driving forces behind the growing shadow of unethical ICAs. The U.S. social work community has a large role and responsibility in addressing these concerns as the United States receives the most children adopted through ICAs of all receiving countries. In addition to the centrality of social justice as a core value of the profession, the responsibility to carry out ethical and socially just ICA has recently increased as a matter of law, under the implementation legislation to the Hague Convention on Intercountry Adoption. While acknowledging that these issues are complex, authors provide suggestions for corrective policy and practice measures.
Lyke, M M; Dubach, J; Briggs, M B
2013-05-01
The recent incorporation of molecular methods into analyses of social and mating systems has provided evidence that mating patterns often differ from those predicted by group social organization. Based on field studies and paternity analyses at a limited number of sites, African lions are predicted to exhibit a strict within-pride mating system. Extra-group paternity has not been previously reported in African lions; however, observations of extra-group associations among lions inhabiting Etosha National Park in Namibia suggest deviation from the predicted within-pride mating pattern. We analysed variation in 14 microsatellite loci in a population of 164 African lions in Etosha National Park. Genetic analysis was coupled with demographic and observational data to examine pride structure, relatedness and extra-group paternity (EGP). EGP was found to occur in 57% of prides where paternity was analysed (n = 7), and the overall rate of EGP in this population was 41% (n = 34). Group sex ratio had a significant effect on the occurrence of EGP (P < 0.05), indicating that variation in pride-level social structure may explain intergroup variation in EGP. Prides with a lower male-to-female ratio were significantly more likely to experience EGP in this population. The results of this study challenge the current models of African lion mating systems and provide evidence that social structure may not reflect breeding structure in some social mammals. © 2013 Blackwell Publishing Ltd.
Monk, Christopher T; Barbier, Matthieu; Romanczuk, Pawel; Watson, James R; Alós, Josep; Nakayama, Shinnosuke; Rubenstein, Daniel I; Levin, Simon A; Arlinghaus, Robert
2018-06-01
Understanding how humans and other animals behave in response to changes in their environments is vital for predicting population dynamics and the trajectory of coupled social-ecological systems. Here, we present a novel framework for identifying emergent social behaviours in foragers (including humans engaged in fishing or hunting) in predator-prey contexts based on the exploration difficulty and exploitation potential of a renewable natural resource. A qualitative framework is introduced that predicts when foragers should behave territorially, search collectively, act independently or switch among these states. To validate it, we derived quantitative predictions from two models of different structure: a generic mathematical model, and a lattice-based evolutionary model emphasising exploitation and exclusion costs. These models independently identified that the exploration difficulty and exploitation potential of the natural resource controls the social behaviour of resource exploiters. Our theoretical predictions were finally compared to a diverse set of empirical cases focusing on fisheries and aquatic organisms across a range of taxa, substantiating the framework's predictions. Understanding social behaviour for given social-ecological characteristics has important implications, particularly for the design of governance structures and regulations to move exploited systems, such as fisheries, towards sustainability. Our framework provides concrete steps in this direction. © 2018 John Wiley & Sons Ltd/CNRS.
Montesanti, Stephanie Rose; Thurston, Wilfreda E
2015-11-11
Research on interpersonal violence towards women has commonly focused on individual or proximate-level determinants associated with violent acts ignores the roles of larger structural systems that shape interpersonal violence. Though this research has contributed to an understanding of the prevalence and consequences of violence towards women, it ignores how patterns of violence are connected to social systems and social institutions. In this paper, we discuss the findings from a scoping review that examined: 1) how structural and symbolic violence contributes to interpersonal violence against women; and 2) the relationships between the social determinants of health and interpersonal violence against women. We used concept mapping to identify what was reported on the relationships among individual-level characteristics and population-level influence on gender-based violence against women and the consequences for women's health. Institutional ethics review was not required for this scoping review since there was no involvement or contact with human subjects. The different forms of violence-symbolic, structural and interpersonal-are not mutually exclusive, rather they relate to one another as they manifest in the lives of women. Structural violence is marked by deeply unequal access to the determinants of health (e.g., housing, good quality health care, and unemployment), which then create conditions where interpersonal violence can happen and which shape gendered forms of violence for women in vulnerable social positions. Our web of causation illustrates how structural factors can have negative impacts on the social determinants of health and increases the risk for interpersonal violence among women. Public health policy responses to violence against women should move beyond individual-level approaches to violence, to consider how structural and interpersonal level violence and power relations shape the 'lived experiences' of violence for women.
Bashkireva, A S; Shestakov, V P; Svintsov, A A; Raduto, V I; Bogdanov, E A; Chernova, G I; Cherniakina, T S
2014-01-01
The systematic review and data analysis of the social services legislative regulation among elderly citizens and disabled persons in Russian Federation was submitted. The structure of the consolidated legislation on social services among citizens of advanced age was defined. The Russian legislative database in all subjects of the Russian Federation was analyzed. Analytical results thus obtained made it possible to designate the subjective rights of elderly citizens in the field of social services, the lists of bases for providing social services, different kinds of these services according to the consolidated legislation in all subjects of the Russian Federation, and various legal organizational forms providing these social services also.
Community evolution mining and analysis in social network
NASA Astrophysics Data System (ADS)
Liu, Hongtao; Tian, Yuan; Liu, Xueyan; Jian, Jie
2017-03-01
With the development of digital and network technology, various social platforms emerge. These social platforms have greatly facilitated access to information, attracting more and more users. They use these social platforms every day to work, study and communicate, so every moment social platforms are generating massive amounts of data. These data can often be modeled as complex networks, making large-scale social network analysis possible. In this paper, the existing evolution classification model of community has been improved based on community evolution relationship over time in dynamic social network, and the Evolution-Tree structure is proposed which can show the whole life cycle of the community more clearly. The comparative test result shows that the improved model can excavate the evolution relationship of the community well.
NASA Astrophysics Data System (ADS)
Munawir; Dewancker, B. J.; Koerniawan, M. D.
2018-05-01
Social media has contributed to providing information from the users. Users can expressing and sharing their thoughts and opinions on all kinds of topics and events freely. Twitter offers organizations fast and effective way to monitor the users’ feelings towards their mood in the cities. In twitter there are the big information data that be able to download freely, this study collected data from twitter and make the classification based on users’ tweets to categorize the index of happiness of the city. The urban structure data are collected from the urban guideline development from each city. The index of happiness becomes the prosperity level paradigm of a city, it becomes a tool to assess and compare how the city is liveable. This study will analyse from the users’ tweets on a regular basis in three cities of Indonesia, to the parameters of happiness that will be compared with the urban structure development. Based on data of the index of happiness from social media can offer better information for city planners and developers that can be used to improve planning and quality of life in the city and future of urban development.
Mulawa, Marta; Yamanis, Thespina J.; Hill, Lauren; Balvanz, Peter; Kajula, Lusajo J.; Maman, Suzanne
2016-01-01
Research on network-level influences on HIV risk behaviors among young men in sub-Saharan Africa is severely lacking. One significant gap in the literature that may provide direction for future research with this population is understanding the degree to which various HIV risk behaviors and normative beliefs cluster within men’s social networks. Such research may help us understand which HIV-related norms and behaviors have the greatest potential to be changed through social influence. Additionally, few network-based studies have described the structure of social networks of young men in sub-Saharan Africa. Understanding the structure of men’s peer networks may motivate future research examining the ways in which network structures shape the spread of information, adoption of norms, and diffusion of behaviors. We contribute to filling these gaps by using social network analysis and multilevel modeling to describe a unique dataset of mostly young men (n= 1,249 men and 242 women) nested within 59 urban social networks in Dar es Salaam, Tanzania. We examine the means, ranges, and clustering of men’s HIV-related normative beliefs and behaviors. Networks in this urban setting varied substantially in both composition and structure and a large proportion of men engaged in risky behaviors including inconsistent condom use, sexual partner concurrency, and intimate partner violence perpetration. We found significant clustering of normative beliefs and risk behaviors within these men’s social networks. Specifically, network membership explained between 5.78 and 7.17% of variance in men’s normative beliefs and between 1.93 and 15.79% of variance in risk behaviors. Our results suggest that social networks are important socialization sites for young men and may influence the adoption of norms and behaviors. We conclude by calling for more research on men’s social networks in Sub-Saharan Africa and map out several areas of future inquiry. PMID:26874081
Mulawa, Marta; Yamanis, Thespina J; Hill, Lauren M; Balvanz, Peter; Kajula, Lusajo J; Maman, Suzanne
2016-03-01
Research on network-level influences on HIV risk behaviors among young men in sub-Saharan Africa is severely lacking. One significant gap in the literature that may provide direction for future research with this population is understanding the degree to which various HIV risk behaviors and normative beliefs cluster within men's social networks. Such research may help us understand which HIV-related norms and behaviors have the greatest potential to be changed through social influence. Additionally, few network-based studies have described the structure of social networks of young men in sub-Saharan Africa. Understanding the structure of men's peer networks may motivate future research examining the ways in which network structures shape the spread of information, adoption of norms, and diffusion of behaviors. We contribute to filling these gaps by using social network analysis and multilevel modeling to describe a unique dataset of mostly young men (n = 1249 men and 242 women) nested within 59 urban social networks in Dar es Salaam, Tanzania. We examine the means, ranges, and clustering of men's HIV-related normative beliefs and behaviors. Networks in this urban setting varied substantially in both composition and structure and a large proportion of men engaged in risky behaviors including inconsistent condom use, sexual partner concurrency, and intimate partner violence perpetration. We found significant clustering of normative beliefs and risk behaviors within these men's social networks. Specifically, network membership explained between 5.78 and 7.17% of variance in men's normative beliefs and between 1.93 and 15.79% of variance in risk behaviors. Our results suggest that social networks are important socialization sites for young men and may influence the adoption of norms and behaviors. We conclude by calling for more research on men's social networks in Sub-Saharan Africa and map out several areas of future inquiry. Copyright © 2016 Elsevier Ltd. All rights reserved.
Coker, Donna
2016-10-01
My Domestic Violence and Social Justice law school course is organized around a structural intersectional framework to encourage students to recognize how structural inequalities inform the types of abuse perpetrated, individual and community responses to abuse, meanings that a victim ascribes to abuse, and factors that increase the risk of abuse. The course challenges the dominant neoliberal ideology focus on individual responsibility that eclipses shared responsibility. The course combines experiential exercises, a presentation by members of a community-based survivor organization, discussion of a hypothetical case with a legal practitioner, and court observation to help students apply theoretical insights to practical issues of individual representation and policy-making. © The Author(s) 2016.
Barman-Adhikari, Anamika; Begun, Stephanie; Rice, Eric; Yoshioka-Maxwell, Amanda; Perez-Portillo, Andrea
2016-01-01
Homeless youths' social networks are consistently linked with their substance use. Social networks influence behavior through several mechanisms, especially social norms. This study used sociometric analyses to understand whether social norms of drug use behaviors are clustered in network structures and whether these perceived norms (descriptive and injunctive) influence youths' drug use behaviors. An event-based approach was used to delineate boundaries of the two sociometric networks of homeless youth, one in Los Angeles, CA (n = 160) and the other in Santa Monica, CA (n = 130). Network characteristics included centrality (i.e., popularity) and cohesiveness (location in dense subnetworks). The primary outcome was recent methamphetamine use. Results revealed that both descriptive and injunctive norms influenced methamphetamine use. Network cohesion was found to be associated with perception of both descriptive and injunctive norms in both networks, however in opposite directions. Network interventions therefore might be effective if designed to capitalize on social influence that naturally occurs in cohesive parts of networks. PMID:27194667
Morris, Jacqui; Oliver, Tracey; Kroll, Thilo; Macgillivray, Steve
2012-01-01
Background. People with stroke are not maintaining adequate engagement in physical activity (PA) for health and functional benefit. This paper sought to describe any psychological and social factors that may influence physical activity engagement after stroke. Methods. A structured literature review of studies indexed in MEDLINE, CinAHL, P&BSC, and PsycINFO using search terms relevant to stroke, physical disabilities, and PA. Publications reporting empirical findings (quantitative or qualitative) regarding psychological and/or social factors were included. Results. Twenty studies from 19 publications (9 surveys, 1 RCT, and 10 qualitative studies) were included. Seventeen studies reported findings pertinent to psychological factors and fourteen findings pertinent to social factors. Conclusion. Self-efficacy, physical activity beliefs, and social support appear particularly relevant to physical activity behaviour after stroke and should be included in theoretically based physical interventions. The Transtheoretical Model and the Theory of Planned Behaviour are candidate behavioural models that may support intervention development.
ERIC Educational Resources Information Center
Corrado, Marisa; Glasberg, Davita Silfen; Merenstein, Beth; Peele, Melanie R.
2000-01-01
Focuses on an exercise where students were assigned social roles based on gender, class, and race and then selected division of labor and reward structures in order to explore inequality in work and production. Offers a review of literature on the power structure of work and production and an evaluation of the exercise. (CMK)
Taxonomies of networks from community structure
Reid, Stephen; Porter, Mason A.; Mucha, Peter J.; Fricker, Mark D.; Jones, Nick S.
2014-01-01
The study of networks has become a substantial interdisciplinary endeavor that encompasses myriad disciplines in the natural, social, and information sciences. Here we introduce a framework for constructing taxonomies of networks based on their structural similarities. These networks can arise from any of numerous sources: they can be empirical or synthetic, they can arise from multiple realizations of a single process (either empirical or synthetic), they can represent entirely different systems in different disciplines, etc. Because mesoscopic properties of networks are hypothesized to be important for network function, we base our comparisons on summaries of network community structures. Although we use a specific method for uncovering network communities, much of the introduced framework is independent of that choice. After introducing the framework, we apply it to construct a taxonomy for 746 networks and demonstrate that our approach usefully identifies similar networks. We also construct taxonomies within individual categories of networks, and we thereby expose nontrivial structure. For example, we create taxonomies for similarity networks constructed from both political voting data and financial data. We also construct network taxonomies to compare the social structures of 100 Facebook networks and the growth structures produced by different types of fungi. PMID:23030977
Taxonomies of networks from community structure
NASA Astrophysics Data System (ADS)
Onnela, Jukka-Pekka; Fenn, Daniel J.; Reid, Stephen; Porter, Mason A.; Mucha, Peter J.; Fricker, Mark D.; Jones, Nick S.
2012-09-01
The study of networks has become a substantial interdisciplinary endeavor that encompasses myriad disciplines in the natural, social, and information sciences. Here we introduce a framework for constructing taxonomies of networks based on their structural similarities. These networks can arise from any of numerous sources: They can be empirical or synthetic, they can arise from multiple realizations of a single process (either empirical or synthetic), they can represent entirely different systems in different disciplines, etc. Because mesoscopic properties of networks are hypothesized to be important for network function, we base our comparisons on summaries of network community structures. Although we use a specific method for uncovering network communities, much of the introduced framework is independent of that choice. After introducing the framework, we apply it to construct a taxonomy for 746 networks and demonstrate that our approach usefully identifies similar networks. We also construct taxonomies within individual categories of networks, and we thereby expose nontrivial structure. For example, we create taxonomies for similarity networks constructed from both political voting data and financial data. We also construct network taxonomies to compare the social structures of 100 Facebook networks and the growth structures produced by different types of fungi.
Djomba, Janet Klara; Zaletel-Kragelj, Lijana
2016-12-01
Research on social networks in public health focuses on how social structures and relationships influence health and health-related behaviour. While the sociocentric approach is used to study complete social networks, the egocentric approach is gaining popularity because of its focus on individuals, groups and communities. One of the participants of the healthy lifestyle health education workshop 'I'm moving', included in the study of social support for exercise was randomly selected. The participant was denoted as the ego and members of her/his social network as the alteri. Data were collected by personal interviews using a self-made questionnaire. Numerical methods and computer programmes for the analysis of social networks were used for the demonstration of analysis. The size, composition and structure of the egocentric social network were obtained by a numerical analysis. The analysis of composition included homophily and homogeneity. Moreover, the analysis of the structure included the degree of the egocentric network, the strength of the ego-alter ties and the average strength of ties. Visualisation of the network was performed by three freely available computer programmes, namely: Egonet.QF, E-net and Pajek. The computer programmes were described and compared by their usefulness. Both numerical analysis and visualisation have their benefits. The decision what approach to use is depending on the purpose of the social network analysis. While the numerical analysis can be used in large-scale population-based studies, visualisation of personal networks can help health professionals at creating, performing and evaluation of preventive programmes, especially if focused on behaviour change.
Exploratory Visualization of Graphs Based on Community Structure
ERIC Educational Resources Information Center
Liu, Yujie
2013-01-01
Communities, also called clusters or modules, are groups of nodes which probably share common properties and/or play similar roles within a graph. They widely exist in real networks such as biological, social, and information networks. Allowing users to interactively browse and explore the community structure, which is essential for understanding…
Ákos, Zsuzsa; Beck, Róbert; Nagy, Máté; Vicsek, Tamás; Kubinyi, Enikő
2014-01-01
Movement interactions and the underlying social structure in groups have relevance across many social-living species. Collective motion of groups could be based on an "egalitarian" decision system, but in practice it is often influenced by underlying social network structures and by individual characteristics. We investigated whether dominance rank and personality traits are linked to leader and follower roles during joint motion of family dogs. We obtained high-resolution spatio-temporal GPS trajectory data (823,148 data points) from six dogs belonging to the same household and their owner during 14 30-40 min unleashed walks. We identified several features of the dogs' paths (e.g., running speed or distance from the owner) which are characteristic of a given dog. A directional correlation analysis quantifies interactions between pairs of dogs that run loops jointly. We found that dogs play the role of the leader about 50-85% of the time, i.e. the leader and follower roles in a given pair are dynamically interchangable. However, on a longer timescale tendencies to lead differ consistently. The network constructed from these loose leader-follower relations is hierarchical, and the dogs' positions in the network correlates with the age, dominance rank, trainability, controllability, and aggression measures derived from personality questionnaires. We demonstrated the possibility of determining dominance rank and personality traits of an individual based only on its logged movement data. The collective motion of dogs is influenced by underlying social network structures and by characteristics such as personality differences. Our findings could pave the way for automated animal personality and human social interaction measurements.
Diffusion of a Sustainable Farming Technique in Sri Lanka: An Agent-Based Modeling Approach
NASA Astrophysics Data System (ADS)
Jacobi, J. H.; Gilligan, J. M.; Carrico, A. R.; Truelove, H. B.; Hornberger, G.
2012-12-01
We live in a changing world - anthropogenic climate change is disrupting historic climate patterns and social structures are shifting as large scale population growth and massive migrations place unprecedented strain on natural and social resources. Agriculture in many countries is affected by these changes in the social and natural environments. In Sri Lanka, rice farmers in the Mahaweli River watershed have seen increases in temperature and decreases in precipitation. In addition, a government led resettlement project has altered the demographics and social practices in villages throughout the watershed. These changes have the potential to impact rice yields in a country where self-sufficiency in rice production is a point of national pride. Studies of the climate can elucidate physical effects on rice production, while research on social behaviors can illuminate the influence of community dynamics on agricultural practices. Only an integrated approach, however, can capture the combined and interactive impacts of these global changes on Sri Lankan agricultural. As part of an interdisciplinary team, we present an agent-based modeling (ABM) approach to studying the effects of physical and social changes on farmers in Sri Lanka. In our research, the diffusion of a sustainable farming technique, the system of rice intensification (SRI), throughout a farming community is modeled to identify factors that either inhibit or promote the spread of a more sustainable approach to rice farming. Inputs into the ABM are both physical and social and include temperature, precipitation, the Palmer Drought Severity Index (PDSI), community trust, and social networks. Outputs from the ABM demonstrate the importance of meteorology and social structure on the diffusion of SRI throughout a farming community.
Factor structure of the Japanese Interpersonal Competence Scale.
Matsudaira, Tomomi; Fukuhara, Taihei; Kitamura, Toshinori
2008-04-01
Assessing social competence is important for clinical and preventive interventions of depression. The aim of the present paper was to examine the factor structure of the Japanese Interpersonal Competence Scale (JICS). Exploratory and confirmatory factor analysis was performed on the survey responses of 730 participants. Simultaneous multigroup analyses were conducted to confirm factor stability across psychological health status and sex differences. Two factors, which represent Perceptive Ability and Self-Restraint, were confirmed to show a moderate correlation. Perceptive Ability involves a more cognitive aspect of social competence, while Self-Restraint involves a more behavioral aspect, both of which are considered to reflect the emotion-based relating style specific to the Japanese people: indulgent dependence (amae) and harmony (wa). In addition, Self-Restraint may be linked to social functioning. Both constructs may confound a respondent's perceived confidence. Despite its shortcomings, the JICS is a unique measure of social competence in the Japanese cultural context.
Social structure of Facebook networks
NASA Astrophysics Data System (ADS)
Traud, Amanda L.; Mucha, Peter J.; Porter, Mason A.
2012-08-01
We study the social structure of Facebook “friendship” networks at one hundred American colleges and universities at a single point in time, and we examine the roles of user attributes-gender, class year, major, high school, and residence-at these institutions. We investigate the influence of common attributes at the dyad level in terms of assortativity coefficients and regression models. We then examine larger-scale groupings by detecting communities algorithmically and comparing them to network partitions based on user characteristics. We thereby examine the relative importance of different characteristics at different institutions, finding for example that common high school is more important to the social organization of large institutions and that the importance of common major varies significantly between institutions. Our calculations illustrate how microscopic and macroscopic perspectives give complementary insights on the social organization at universities and suggest future studies to investigate such phenomena further.
Coevolution of game and network structure with adjustable linking
NASA Astrophysics Data System (ADS)
Qin, Shao-Meng; Zhang, Guo-Yong; Chen, Yong
2009-12-01
Most papers about the evolutionary game on graph assume the statistic network structure. However, in the real world, social interaction could change the relationship among people. And the change of social structure will also affect people’s strategies. We build a coevolution model of prisoner’s dilemma game and network structure to study the dynamic interaction in the real world. Differing from other coevolution models, players rewire their network connections according to the density of cooperation and other players’ payoffs. We use a parameter α to control the effect of payoff in the process of rewiring. Based on the asynchronous update rule and Monte Carlo simulation, we find that, when players prefer to rewire their links to those who are richer, the temptation can increase the cooperation density.
[The cultural history of palliative care in primitive societies: an integrative review].
Siles González, José; Solano Ruiz, Maria Del Carmen
2012-08-01
The objective of this study is to describe the evolution of palliative care in order to reflect on the possibility of its origin in primitive cultures and their relationship with the beginnings of the cult of the dead. It describes the change in the symbolic structures and social interactions involved in palliative care during prehistory: functional unit, functional framework and functional element. The theoretical framework is based on cultural history, the dialectical structural model and symbolic interactionism. Categorization techniques, cultural history and dialectic structuralism analyses were performed. Palliative care existed in primitive societies, mostly associated with the rites of passage with a high symbolic content. The social structures - functional unit, functional framework and functional element - are the pillars that supported palliative care in prehistory societies.
A Social Constructionist Approach to Diversity and Social Relations Among Muslim Americans.
Ajrouch, Kristine J
2017-06-01
Social relations among Muslim elders in the U.S. were examined to investigate diversity within an ethnic group whose members share a common religious belief system. Data included a web-based survey (N = 264) and semi-structured interviews (N = 18). A social constructionist perspective was used recognizing that ethnicity is fluid, not static and culture was highlighted as a way of seeing as opposed to a way of being. Regression analysis was conducted using survey data to investigate diversity among Muslims elders concerning social contact and activities. Social contact was predominantly with older adults for both African American and European compared to South Asian Muslims. Concerning social activities, the U.S. born was less likely than immigrants to be satisfied with activities for elders. Grounded analysis of semi-structured data uncovered two themes: social connectedness and communication. Each theme provided in-depth understandings of how culture, as ways of seeing the world, shape social relations in diverse ways, leading to the proposition that though family may be necessary for well-being in old age, it is not sufficient. By focusing on one religious group that included both immigrants and those born in the U.S., with various ancestral origins, findings advance a systematic and critical approach to challenge essentialist assumptions in the study of ethnic aging.
A qualitative study on the attributes of nurses' workplace social capital in Japan.
Norikoshi, Kensuke; Kobayashi, Toshio; Tabuchi, Keiji
2018-01-01
To identify attributes of nurses' workplace social capital in Japan. Much attention has been paid to nurses' workplace social capital to improve the quality of the work environment; however, few studies are available on the attributes of nurses' workplace social capital. Semi-structured interviews were conducted with 32 nurses at seven hospitals. Nurses reported on the attributes of workplace social capital, such as characteristics facilitating individual positive action in an organisation, which were qualitatively analysed using the Kawakita Jiro method. The attributes of nurses' workplace social capital were organised into six groups: affirmation; exchange of appreciation; unrestricted information sharing; ability to trust; access to the strength; and altruistic reciprocity. The attributes of nurses' workplace social capital included a social structure that allowed nurses to make full use of their abilities both vertically and horizontally and were supported by a sense of security. In particular, newly emerged exchange of appreciation and altruistic reciprocity were important for nurses in Japan in building cooperative relationships with others. Managing human relationships, such as exchange of appreciation and altruistic reciprocity, in clinical settings based on nurses' workplace social capital may promote positive emotions in the organisation, positive ideas among staff and cooperative teamwork, which may lead to high-quality patient care. © 2017 John Wiley & Sons Ltd.
Appplication of statistical mechanical methods to the modeling of social networks
NASA Astrophysics Data System (ADS)
Strathman, Anthony Robert
With the recent availability of large-scale social data sets, social networks have become open to quantitative analysis via the methods of statistical physics. We examine the statistical properties of a real large-scale social network, generated from cellular phone call-trace logs. We find this network, like many other social networks to be assortative (r = 0.31) and clustered (i.e., strongly transitive, C = 0.21). We measure fluctuation scaling to identify the presence of internal structure in the network and find that structural inhomogeneity effectively disappears at the scale of a few hundred nodes, though there is no sharp cutoff. We introduce an agent-based model of social behavior, designed to model the formation and dissolution of social ties. The model is a modified Metropolis algorithm containing agents operating under the basic sociological constraints of reciprocity, communication need and transitivity. The model introduces the concept of a social temperature. We go on to show that this simple model reproduces the global statistical network features (incl. assortativity, connected fraction, mean degree, clustering, and mean shortest path length) of the real network data and undergoes two phase transitions, one being from a "gas" to a "liquid" state and the second from a liquid to a glassy state as function of this social temperature.
Brain Structure Links Loneliness to Social Perception
Kanai, Ryota; Bahrami, Bahador; Duchaine, Brad; Janik, Agnieszka; Banissy, Michael J.; Rees, Geraint
2012-01-01
Summary Loneliness is the distressing feeling associated with the perceived absence of satisfying social relationships [1]. Loneliness is increasingly prevalent in modern societies [2, 3] and has detrimental effects on health and happiness [4, 5]. Although situational threats to social relationships can transiently induce the emotion of loneliness, susceptibility to loneliness is a stable trait that varies across individuals [6–8] and is to some extent heritable [9–11]. However, little is known about the neural processes associated with loneliness (but see [12–14]). Here, we hypothesized that individual differences in loneliness might be reflected in the structure of the brain regions associated with social processes [15]. To test this hypothesis, we used voxel-based morphometry and showed that lonely individuals have less gray matter in the left posterior superior temporal sulcus (pSTS)—an area implicated in basic social perception. As this finding predicted, we further confirmed that loneliness was associated with difficulty in processing social cues. Although other sociopsychological factors such as social network size, anxiety, and empathy independently contributed to loneliness, only basic social perception skills mediated the association between the pSTS volume and loneliness. Taken together, our results suggest that basic social perceptual abilities play an important role in shaping an individual’s loneliness. PMID:23041193
Garg, Kritika M; Chattopadhyay, Balaji; Ramakrishnan, Uma
2018-02-01
Bats are social animals and display a diverse variety of mating and social systems, with most species exhibiting some form of polygyny. Their social organization is fluid and individuals frequently switch partners and roosting sites. While harem-like social organization is observed in multiple tropical species, its importance is contested in many of them. In this study, we investigated the role of harems in the social organization of the old world fruit bat Cynopterus sphinx . Based on regular behavioural observations over a period of 20 months and genetic data from microsatellite markers, we observed that the social organization is flexible, individuals regularly shift between roosts and the social organization resembles a fission-fusion society. Behavioural and genetic analyses suggest that the harems are not strict units of social structure, and the colony does not show signatures of subdivision with harems as behavioural units. We also observed that there was no correlation between individuals with high association index and pairwise relatedness. Our findings indicate that similar to the mating system, the social organization of C. sphinx can also be categorized as a fission-fusion society, and hence the term 'harem' is a misnomer. We conclude that the social system of C. sphinx is flexible, with multi-male multi-female organization, and individuals tend to be loyal to a given area rather than a roost.
Social Network Structures of Breast Cancer Patients and the Contributing Role of Patient Navigators.
Gunn, Christine M; Parker, Victoria A; Bak, Sharon M; Ko, Naomi; Nelson, Kerrie P; Battaglia, Tracy A
2017-08-01
Minority women in the U.S. continue to experience inferior breast cancer outcomes compared with white women, in part due to delays in care delivery. Emerging cancer care delivery models like patient navigation focus on social barriers, but evidence demonstrating how these models increase social capital is lacking. This pilot study describes the social networks of newly diagnosed breast cancer patients and explores the contributing role of patient navigators. Twenty-five women completed a one hour interview about their social networks related to cancer care support. Network metrics identified important structural attributes and influential individuals. Bivariate associations between network metrics, type of network, and whether the network included a navigator were measured. Secondary analyses explored associations between network structures and clinical outcomes. We identified three types of networks: kin-based, role and/or affect-based, or heterogeneous. Network metrics did not vary significantly by network type. There was a low prevalence of navigators included in the support networks (25%). Network density scores were significantly higher in those networks without a navigator. Network metrics were not predictive of clinical outcomes in multivariate models. Patient navigators were not frequently included in support networks, but provided distinctive types of support. If navigators can identify patients with poorly integrated (less dense) social networks, or who have unmet tangible support needs, the intensity of navigation services could be tailored. Services and systems that address gaps and variations in patient social networks should be explored for their potential to reduce cancer health disparities. This study used a new method to identify the breadth and strength of social support following a diagnosis of breast cancer, especially examining the role of patient navigators in providing support. While navigators were only included in one quarter of patient support networks, they did provide essential supports to some individuals. Health care providers and systems need to better understand the contributions of social supports both within and outside of health care to design and tailor interventions that seek to reduce health care disparities and improve cancer outcomes. © AlphaMed Press 2017.
ERIC Educational Resources Information Center
Bótas, Paulo Charles Pimentel; Huisman, Jeroen
2013-01-01
In this paper we examine the perceptions of ERASMUS agents' of Polish students' participation in the EP. We provide a Bourdieusian analyse of the cultural and social capital acquisition of students based on the qualitative data, collected through semi-structured, in-depth interviews with Erasmus agents, of a European research project. We argue…
Swedish socialism and big business.
Israel, J
1979-01-01
It is argued that during 44 years of Social Democratic government in Sweden intimate cooperation has developed between this government and multinational corporations. This cooperation was based upon the development of common interests, and was the result of an economic policy of structural rationalization and state intervention. A strong tendency of concentration of capital can be observed. Data are presented to support the theses developed.
ERIC Educational Resources Information Center
Geldhof, John; Little, Todd D.; Hawley, Patricia H.
2012-01-01
In this paper we present domain-specific measures of academic and social self-regulation in young adults. We base our scales on Baltes and colleagues' Selection, Optimization, and Compensation (SOC) model, and establish the factor structure of our new measures using data collected from a sample of 152 college students. We then compare the…
ERIC Educational Resources Information Center
Karp, Melinda Mechur; Lundy-Wagner, Valerie
2016-01-01
Collective impact is an increasingly popular approach to addressing persistent social problems. It takes a place-based systems approach to social change and compared with other forms of collaboration is meant to be more structured and strategic. Such an approach is intuitively appealing, and it has the support of stakeholders at the local level,…
ERIC Educational Resources Information Center
Savi Çakar, Firdevs; Tagay, Özlem
2017-01-01
This research is a descriptive study based on the testing of a structural model developed by considering the effects of perceived social support and subjective well-being on adolescents' risky behaviors, and the possible mediating role of self-esteem. Participants consisted of 676 high school students attending formal education institutions,…
Social and structural aspects of the overdose risk environment in St. Petersburg, Russia.
Green, Traci C; Grau, Lauretta E; Blinnikova, Ksenia N; Torban, Mikhail; Krupitsky, Evgeny; Ilyuk, Ruslan; Kozlov, Andrei; Heimer, Robert
2009-05-01
While overdose is a common cause of mortality among opioid injectors worldwide, little information exists on opioid overdoses or how context may influence overdose risk in Russia. This study sought to uncover social and structural aspects contributing to fatal overdose risk in St. Petersburg and assess prevention intervention feasibility. Twenty-one key informant interviews were conducted with drug users, treatment providers, toxicologists, police, and ambulance staff. Thematic coding of interview content was conducted to elucidate elements of the overdose risk environment. Several factors within St. Petersburg's environment were identified as shaping illicit drug users' risk behaviours and contributing to conditions of suboptimal response to overdose in the community. Most drug users live and experience overdoses at home, where family and home environment may mediate or moderate risk behaviours. The overdose risk environment is also worsened by inefficient emergency response infrastructure, insufficient cardiopulmonary or naloxone training resources, and the preponderance of abstinence-based treatment approaches to the exclusion of other treatment modalities. However, attitudes of drug users and law enforcement officials generally support overdose prevention intervention feasibility. Modifiable aspects of the risk environment suggest community-based and structural interventions, including overdose response training for drug users and professionals that encompasses naloxone distribution to the users and equipping more ambulances with naloxone. Local social and structural elements influence risk environments for overdose. Interventions at the community and structural levels to prevent and respond to opioid overdoses are needed for and integral to reducing overdose mortality in St. Petersburg.
Privacy Breach Analysis in Social Networks
NASA Astrophysics Data System (ADS)
Nagle, Frank
This chapter addresses various aspects of analyzing privacy breaches in social networks. We first review literature that defines three types of privacy breaches in social networks: interactive, active, and passive. We then survey the various network anonymization schemes that have been constructed to address these privacy breaches. After exploring these breaches and anonymization schemes, we evaluate a measure for determining the level of anonymity inherent in a network graph based on its topological structure. Finally, we close by emphasizing the difficulty of anonymizing social network data while maintaining usability for research purposes and offering areas for future work.
Social network supported process recommender system.
Ye, Yanming; Yin, Jianwei; Xu, Yueshen
2014-01-01
Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced.
Generalized epidemic process on modular networks.
Chung, Kihong; Baek, Yongjoo; Kim, Daniel; Ha, Meesoon; Jeong, Hawoong
2014-05-01
Social reinforcement and modular structure are two salient features observed in the spreading of behavior through social contacts. In order to investigate the interplay between these two features, we study the generalized epidemic process on modular networks with equal-sized finite communities and adjustable modularity. Using the analytical approach originally applied to clique-based random networks, we show that the system exhibits a bond-percolation type continuous phase transition for weak social reinforcement, whereas a discontinuous phase transition occurs for sufficiently strong social reinforcement. Our findings are numerically verified using the finite-size scaling analysis and the crossings of the bimodality coefficient.
Social work and gender: An argument for practical accounts
2015-01-01
This article contributes to the debate on gender and social work by examining dominant approaches within the field. Anti-discriminatory, woman-centered and intersectional accounts are critiqued for reliance upon both reification and isolation of gender. Via examination of poststructural, queer and trans theories within social work, the author then presents accounts based upon structural/materialist, ethnomethodological and discursive theories, in order to open up debates about conceptualization of gender. These are used to suggest that social work should adopt a focus on gender as a practical accomplishment that occurs within various settings or contexts. PMID:26273228
Fujiyama, Toshifumi; Matsui, Chihiro; Takemura, Akimichi
2016-01-01
We propose a power-law growth and decay model for posting data to social networking services before and after social events. We model the time series structure of deviations from the power-law growth and decay with a conditional Poisson autoregressive (AR) model. Online postings related to social events are described by five parameters in the power-law growth and decay model, each of which characterizes different aspects of interest in the event. We assess the validity of parameter estimates in terms of confidence intervals, and compare various submodels based on likelihoods and information criteria.
Charting the neglected West: The social system of Guinea baboons.
Fischer, Julia; Kopp, Gisela H; Dal Pesco, Federica; Goffe, Adeelia; Hammerschmidt, Kurt; Kalbitzer, Urs; Klapproth, Matthias; Maciej, Peter; Ndao, Ibrahima; Patzelt, Annika; Zinner, Dietmar
2017-01-01
Primate social systems are remarkably diverse, and thus play a central role in understanding social evolution, including the biological origin of human societies. Although baboons have been prominently featured in this context, historically little was known about the westernmost member of the genus, the Guinea baboon (Papio papio). Here, we summarize the findings from the first years of observations at the field site CRP Simenti in the Niokolo Koba National Park in Senegal. Guinea baboons reveal a nested multi-level social organization, with reproductive units comprising one "primary" male, one to several females, young, and occasionally "secondary" males at the base of the society. Three to five units form "parties," which team up with other parties to form a "gang." Different gangs have largely overlapping home ranges and agonistic interactions between different parties or gangs are rare. Some but not all strongly socially bonded males are highly related, and population genetic and behavioral evidence indicate female-biased dispersal. Females play an important role in intersexual bond formation and maintenance, and female tenure length varies between a few weeks to several years. While the social organization resembles that of hamadryas baboons (P. hamadryas), the social structure differs considerably, specifically in terms of low male aggressiveness and female freedom. Despite substantial differences in social organization and social structure, the acoustic structure of Guinea baboon vocalizations does not differ substantially from that of other baboon taxa. With its multi-level organization, stable bonds between males and females, as well as a high-degree of male-male cooperation and tolerance, Guinea baboons constitute an intriguing model for reconstructing human social evolution. © 2017 American Association of Physical Anthropologists.
Enabling Community Through Social Media
Haythornthwaite, Caroline
2013-01-01
Background Social network analysis provides a perspective and method for inquiring into the structures that comprise online groups and communities. Traces from interaction via social media provide the opportunity for understanding how a community is formed and maintained online. Objective The paper aims to demonstrate how social network analysis provides a vocabulary and set of techniques for examining interaction patterns via social media. Using the case of the #hcsmca online discussion forum, this paper highlights what has been and can be gained by approaching online community from a social network perspective, as well as providing an inside look at the structure of the #hcsmca community. Methods Social network analysis was used to examine structures in a 1-month sample of Twitter messages with the hashtag #hcsmca (3871 tweets, 486 unique posters), which is the tag associated with the social media–supported group Health Care Social Media Canada. Network connections were considered present if the individual was mentioned, replied to, or had a post retweeted. Results Network analyses revealed patterns of interaction that characterized the community as comprising one component, with a set of core participants prominent in the network due to their connections with others. Analysis showed the social media health content providers were the most influential group based on in-degree centrality. However, there was no preferential attachment among people in the same professional group, indicating that the formation of connections among community members was not constrained by professional status. Conclusions Network analysis and visualizations provide techniques and a vocabulary for understanding online interaction, as well as insights that can help in understanding what, and who, comprises and sustains a network, and whether community emerges from a network of online interactions. PMID:24176835
Raymond-Flesch, Marissa; Auerswald, Colette; McGlone, Linda; Comfort, Megan; Minnis, Alexandra
2017-02-08
Latino youth, particularly in rural settings, experience significant disparities in rates of teen pregnancy and violence. Few data are available regarding social and structural influences on Latino youth's developmental trajectories, specifically on factors that promote wellbeing and protect them from engagement in high-risk sexual and violence-related behaviors. Forty-two youth aged 13 to 19 years old were recruited from middle schools and youth leadership programs to participate in one of eight community-based focus groups in Salinas, a predominantly Latino, urban center in California's rural central coast. Focus groups covered youths' experiences with the risk and protective factors associated with exposure to violence and romantic relationships. Four researchers completed coding with a Grounded Theory approach, informed by the theoretical frameworks of the social ecological model and social capital. The study's design and participant recruitment were informed by a community advisory board of local youth-serving organizations and health care providers. Participants described family lives rich in bonding social capital, with strong ties to parents and near-peer family members. They reported that while parents had a strong desire to promote healthful behaviors and social mobility, they often lacked the bridging or linking social capital required to help youth navigate structural systems, such as college applications and access to confidential health care. Youth also reported that some families link their children to negative social capital, such as exposure to gang affiliation. Adolescents in this agricultural community identified robust sources of bonding social capital within their families. However, they identified limitations in their families' capacities to link them to structural resources in education, employment, and health care that could support healthful behaviors and upward social mobility.
Identifying influential user communities on the social network
NASA Astrophysics Data System (ADS)
Hu, Weishu; Gong, Zhiguo; Hou U, Leong; Guo, Jingzhi
2015-10-01
Nowadays social network services have been popularly used in electronic commerce systems. Users on the social network can develop different relationships based on their common interests and activities. In order to promote the business, it is interesting to explore hidden relationships among users developed on the social network. Such knowledge can be used to locate target users for different advertisements and to provide effective product recommendations. In this paper, we define and study a novel community detection problem that is to discover the hidden community structure in large social networks based on their common interests. We observe that the users typically pay more attention to those users who share similar interests, which enable a way to partition the users into different communities according to their common interests. We propose two algorithms to detect influential communities using common interests in large social networks efficiently and effectively. We conduct our experimental evaluation using a data set from Epinions, which demonstrates that our method achieves 4-11.8% accuracy improvement over the state-of-the-art method.
Human infants' learning of social structures: the case of dominance hierarchy.
Mascaro, Olivier; Csibra, Gergely
2014-01-01
We tested 15-month-olds' capacity to represent social-dominance hierarchies with more than two agents. Our results showed that infants found it harder to memorize dominance relations that were presented in an order that hindered the incremental formation of a single structure (Study 1). These results suggest that infants attempt to build structures incrementally, relation by relation, thereby simplifying the complex problem of recognizing a social structure. Infants also found circular dominance structures harder to process than linear dominance structures (Study 2). These expectations about the shape of structures may facilitate learning. Our results suggest that infants attempt to represent social structures composed of social relations. They indicate that human infants go beyond learning about individual social partners and their respective relations and form hypotheses about how social groups are organized.
Socioeconomic correlations and stratification in social-communication networks.
Leo, Yannick; Fleury, Eric; Alvarez-Hamelin, J Ignacio; Sarraute, Carlos; Karsai, Márton
2016-12-01
The uneven distribution of wealth and individual economic capacities are among the main forces, which shape modern societies and arguably bias the emerging social structures. However, the study of correlations between the social network and economic status of individuals is difficult due to the lack of large-scale multimodal data disclosing both the social ties and economic indicators of the same population. Here, we close this gap through the analysis of coupled datasets recording the mobile phone communications and bank transaction history of one million anonymized individuals living in a Latin American country. We show that wealth and debt are unevenly distributed among people in agreement with the Pareto principle; the observed social structure is strongly stratified, with people being better connected to others of their own socioeconomic class rather than to others of different classes; the social network appears to have assortative socioeconomic correlations and tightly connected 'rich clubs'; and that individuals from the same class live closer to each other but commute further if they are wealthier. These results are based on a representative, society-large population, and empirically demonstrate some long-lasting hypotheses on socioeconomic correlations, which potentially lay behind social segregation, and induce differences in human mobility. © 2016 The Author(s).
Adolescent Neurobiological Susceptibility to Social Context
Schriber, Roberta A.; Guyer, Amanda E.
2016-01-01
Adolescence has been characterized as a period of heightened sensitivity to social contexts. However, adolescents vary in how their social contexts affect them. According to neurobiological susceptibility models, endogenous, biological factors confer some individuals, relative to others, with greater susceptibility to environmental influences, whereby more susceptible individuals fare the best or worst of all individuals, depending on the environment they encounter (e.g., high vs. low parental warmth). Until recently, research guided by these theoretical frameworks has not incorporated direct measures of brain structure or function to index this sensitivity. Drawing on prevailing models of adolescent neurodevelopment and a growing number of neuroimaging studies on the interrelations among social contexts, the brain, and developmental outcomes, we review research that supports the idea of adolescent neurobiological susceptibility to social context for understanding why and how adolescents differ in development and well-being. We propose that adolescent development is shaped in part by brain-based individual differences in sensitivity to social contexts – be they positive or negative – such as those created through relationships with parents/caregivers and peers. As such, we recommend that future research measure brain function and structure to operationalize susceptibility factors that moderate the influence of social contexts on developmental outcomes. PMID:26773514
Socioeconomic correlations and stratification in social-communication networks
Leo, Yannick; Fleury, Eric; Sarraute, Carlos
2016-01-01
The uneven distribution of wealth and individual economic capacities are among the main forces, which shape modern societies and arguably bias the emerging social structures. However, the study of correlations between the social network and economic status of individuals is difficult due to the lack of large-scale multimodal data disclosing both the social ties and economic indicators of the same population. Here, we close this gap through the analysis of coupled datasets recording the mobile phone communications and bank transaction history of one million anonymized individuals living in a Latin American country. We show that wealth and debt are unevenly distributed among people in agreement with the Pareto principle; the observed social structure is strongly stratified, with people being better connected to others of their own socioeconomic class rather than to others of different classes; the social network appears to have assortative socioeconomic correlations and tightly connected ‘rich clubs’; and that individuals from the same class live closer to each other but commute further if they are wealthier. These results are based on a representative, society-large population, and empirically demonstrate some long-lasting hypotheses on socioeconomic correlations, which potentially lay behind social segregation, and induce differences in human mobility. PMID:27974571
Social networks and links to isolation and loneliness among elderly HCBS clients.
Medvene, Louis J; Nilsen, Kari M; Smith, Rachel; Ofei-Dodoo, Samuel; DiLollo, Anthony; Webster, Noah; Graham, Annette; Nance, Anita
2016-01-01
The purpose of this study was to explore the network types of HCBS clients based on the structural characteristics of their social networks. We also examined how the network types were associated with social isolation, relationship quality and loneliness. Forty personal interviews were carried out with HCBS clients to assess the structure of their social networks as indicated by frequency of contact with children, friends, family and participation in religious and community organizations. Hierarchical cluster analysis was conducted to identify network types. Four network types were found including: family (n = 16), diverse (n = 8), restricted (n = 8) and religious (n = 7). Family members comprised almost half of participants' social networks, and friends comprised less than one-third. Clients embedded in family, diverse and religious networks had significantly more positive relationships than clients embedded in restricted networks. Clients embedded in restricted networks had significantly higher social isolation scores and were lonelier than clients in diverse and family networks. The findings suggest that HCBS clients' isolation and loneliness are linked to the types of social networks in which they are embedded. The findings also suggest that clients embedded in restricted networks are at high risk for negative outcomes.
Kim, Chang-O; Cho, Byong-Hee
2016-10-01
The growing number of people living in deprived urban neighborhoods, which often have unhealthy environments, is of growing concern to inequality researchers. Social capital could be a resource to help such communities get ahead. In this study, we examined the differential effects of bonding and bridging social capital on self-rated health using two operational definitions, which we call personal and geographic social capital. Bonding and bridging social capital were operationally distinguished as respondents' perceived similarity to other members of a group with respect to personal characteristics (personal social capital) or as structural similarity with respect to geographical location (geographic social capital). The results showed that although both bonding and bridging social capital as defined by person-based criteria were associated with increased odds of self-rated health compared to those who reported zero participation, when defined by place-based criteria, only bridging social capital was associated with increased odds of self-rated health; no clear association was found between health and belonging to groups within the neighborhood, so-called geographic bonding social capital. The present study suggests that geographic bridging social capital can function as linking social capital that enables an upward approach depending on the political and economic contexts of urbanization. © The Author(s) 2015.
Ma, Jingjing; Liu, Jie; Ma, Wenping; Gong, Maoguo; Jiao, Licheng
2014-01-01
Community structure is one of the most important properties in social networks. In dynamic networks, there are two conflicting criteria that need to be considered. One is the snapshot quality, which evaluates the quality of the community partitions at the current time step. The other is the temporal cost, which evaluates the difference between communities at different time steps. In this paper, we propose a decomposition-based multiobjective community detection algorithm to simultaneously optimize these two objectives to reveal community structure and its evolution in dynamic networks. It employs the framework of multiobjective evolutionary algorithm based on decomposition to simultaneously optimize the modularity and normalized mutual information, which quantitatively measure the quality of the community partitions and temporal cost, respectively. A local search strategy dealing with the problem-specific knowledge is incorporated to improve the effectiveness of the new algorithm. Experiments on computer-generated and real-world networks demonstrate that the proposed algorithm can not only find community structure and capture community evolution more accurately, but also be steadier than the two compared algorithms. PMID:24723806
Ma, Jingjing; Liu, Jie; Ma, Wenping; Gong, Maoguo; Jiao, Licheng
2014-01-01
Community structure is one of the most important properties in social networks. In dynamic networks, there are two conflicting criteria that need to be considered. One is the snapshot quality, which evaluates the quality of the community partitions at the current time step. The other is the temporal cost, which evaluates the difference between communities at different time steps. In this paper, we propose a decomposition-based multiobjective community detection algorithm to simultaneously optimize these two objectives to reveal community structure and its evolution in dynamic networks. It employs the framework of multiobjective evolutionary algorithm based on decomposition to simultaneously optimize the modularity and normalized mutual information, which quantitatively measure the quality of the community partitions and temporal cost, respectively. A local search strategy dealing with the problem-specific knowledge is incorporated to improve the effectiveness of the new algorithm. Experiments on computer-generated and real-world networks demonstrate that the proposed algorithm can not only find community structure and capture community evolution more accurately, but also be steadier than the two compared algorithms.
Shannon, Geordan D.; Motta, Angelica; Cáceres, Carlos F.; Skordis-Worrall, Jolene; Bowie, Diana; Prost, Audrey
2017-01-01
ABSTRACT Background: In the Peruvian Amazon, historical events of colonization and political marginalization intersect with identities of ethnicity, class and geography in the construction of gender and health inequities. Gender-based inequalities can manifest in poor health outcomes via discriminatory practices, healthcare system imbalances, inequities in health research, and differential exposures and vulnerabilities to diseases. Structural violence is a comprehensive framework to explain the mechanisms by which social forces such as poverty, racism and gender inequity become embodied as individual experiences and health outcomes, and thus may be a useful tool in structuring an intersectional analysis of gender and health inequities in Amazonian Peru. Objective: The aim of this paper is to explore the intersection of gender inequities with other social inequalities in the production of health and disease in Peru’s Amazon using a structural violence approach. Design: Exploratory qualitative research was performed in two Loreto settings – urban Iquitos and the rural Lower Napo River region – between March and November 2015. This included participant observation with prolonged stays in the community, 46 semi-structured individual interviews and three group discussions. Thematic analysis was performed to identify emerging themes related to gender inequalities in health and healthcare and how these intersect with layered social disadvantages in the reproduction of health and illness. We employed a structural violence approach to construct an intersectional analysis of gender and health inequities in Amazonian Peru. Results: Our findings were arranged into five interrelated domains within a gender, structural violence and health model: gender as a symbolic institution, systemic gender-based violence, interpersonal violence, the social determinants of health, and other health outcomes. Each domain represents one aspect of the complex associations between gender, gender inequity and health. Through this model, we were able to explore: gender, health and intersectionality; structural violence; and to highlight particular local gender and health dynamics. Intersecting influences of poverty, ethnicity, geography and gender served as significant barriers to healthcare in both rural and urban settings. PMID:28640664
Restrepo-Palacio, Sonia; Amaya-Guio, Jairo
2016-01-01
To describe the contributions of a pedagogical strategy based on the construction of chronicles, using a Virtual Learning Environment for training medical students from Universidad de La Sabana on social determinants of health. Descriptive study with a qualitative approach. Design and implementation of a Virtual Learning Environment based on the ADDIE instructional model. A Virtual Learning Environment was implemented with an instructional design based on the five phases of the ADDIE model, on the grounds of meaningful learning and social constructivism, and through the narration of chronicles or life stories as a pedagogical strategy. During the course, the structural determinants and intermediaries were addressed, and nine chronicles were produced by working groups made up of four or five students, who demonstrated meaningful learning from real life stories, presented a coherent sequence, and kept a thread; 82% of these students incorporated in their contents most of the social determinants of health, emphasizing on the concepts of equity or inequity, equality or inequality, justice or injustice and social cohesion. A Virtual Learning Environment, based on an appropriate instructional design, allows to facilitate learning of social determinants of health through a constructivist pedagogical approach by analyzing chronicles or life stories created by ninth-semester students of medicine from Universidad de La Sabana.
Van Hiel, Alain; Cornelis, Ilse; Roets, Arne
2010-06-01
The present study aimed to delineate the psychological structure of materialism and intrinsic and extrinsic value pursuit. Moreover, we compared models based on self-determination theory (SDT), Fromm's marketing character, and Inglehart's theory of social change to account for racial prejudice. In a sample of undergraduate students (n=131) and adults (n=176) it was revealed that the extrinsic value pursuit Financial Success/Materialism could be distinguished from the extrinsic value scales Physical Appeal and Social Recognition, and Community Concern could be distinguished from the intrinsic value pursuit scales Self-acceptance and Affiliation. Moreover, Financial Success/Materialism and Community Concern were consistently and significantly related to prejudice, whereas the other SDT facet scales yielded weaker relationships with prejudice. Structural models based on SDT and Inglehart were not corroborated, but instead the present data supported a mediation model based on Fromm's work in which the effect of Community Concern was mediated by Financial Success/Materialism. Broader implications for SDT are critically assessed.
Resting-state fMRI and social cognition: An opportunity to connect.
Doruyter, Alex; Groenewold, Nynke A; Dupont, Patrick; Stein, Dan J; Warwick, James M
2017-09-01
Many psychiatric disorders are characterized by altered social cognition. The importance of social cognition has previously been recognized by the National Institute of Mental Health Research Domain Criteria project, in which it features as a core domain. Social task-based functional magnetic resonance imaging (fMRI) currently offers the most direct insight into how the brain processes social information; however, resting-state fMRI may be just as important in understanding the biology and network nature of social processing. Resting-state fMRI allows researchers to investigate the functional relationships between brain regions in a neutral state: so-called resting functional connectivity (RFC). There is evidence that RFC is predictive of how the brain processes information during social tasks. This is important because it shifts the focus from possibly context-dependent aberrations to context-independent aberrations in functional network architecture. Rather than being analysed in isolation, the study of resting-state brain networks shows promise in linking results of task-based fMRI results, structural connectivity, molecular imaging findings, and performance measures of social cognition-which may prove crucial in furthering our understanding of the social brain. Copyright © 2017 John Wiley & Sons, Ltd.
The Social Consequences of Infertility among Iranian Women: A Qualitative Study
Hasanpoor-Azghdy, Syedeh Batool; Simbar, Masoumeh; Vedadhir, Abouali
2015-01-01
Background Infertility may prevent couples to achieve the desired social roles and lead to some social and psychological problems. This study aimed to explain the social consequences of infertility in Iranian women seeking treatment. Materials and Methods A qualitative content analysis was conducted based on 32 semi-structured interviews with 25 women affected by primary and secondary infertility with no surviving children. The participants were purposefully selected with maximum variability from a fertility health research center in Tehran, Iran, from January to October 2012. Data were collected using semi-structured interviews and analyzed using the conventional content analysis method. Results Our findings indicate that the consequences of infertility are divided into five main categories: 1. violence including psychological violence and domestic physical violence, 2. marital instability or uncertainty, 3. social isolation including avoiding certain people or certain social events and self-imposed isolation from family and friends, 4. social exclusion and partial deprivation including being disregarded by family members and relatives and reducing social interactions with the infertile woman and 5. social alienation. Conclusion This study reveals that Iranian women with fertility issues seeking treatment face several social problems that could have devastating effects on the quality of their lives. It is, therefore, recommended that, in Iran, infertility is only considered as a biomedical issue of a couple and pay further attention to its sociocultural dimensions and consequences. PMID:25780523
Collaborative hierarchy maintains cooperation in asymmetric games.
Antonioni, Alberto; Pereda, María; Cronin, Katherine A; Tomassini, Marco; Sánchez, Angel
2018-03-29
The interplay of social structure and cooperative behavior is under much scrutiny lately as behavior in social contexts becomes increasingly relevant for everyday life. Earlier experimental work showed that the existence of a social hierarchy, earned through competition, was detrimental for the evolution of cooperative behaviors. Here, we study the case in which individuals are ranked in a hierarchical structure based on their performance in a collective effort by having them play a Public Goods Game. In the first treatment, participants are ranked according to group earnings while, in the second treatment, their rankings are based on individual earnings. Subsequently, participants play asymmetric Prisoner's Dilemma games where higher-ranked players gain more than lower ones. Our experiments show that there are no detrimental effects of the hierarchy formed based on group performance, yet when ranking is assigned individually we observe a decrease in cooperation. Our results show that different levels of cooperation arise from the fact that subjects are interpreting rankings as a reputation which carries information about which subjects were cooperators in the previous phase. Our results demonstrate that noting the manner in which a hierarchy is established is essential for understanding its effects on cooperation.
The organisation, operational dynamics and structure of female sex work in Pakistan.
Emmanuel, Faran; Thompson, Laura H; Athar, Uzma; Salim, Momina; Sonia, Altaf; Akhtar, Naeem; Blanchard, James F
2013-09-01
Pakistan is known to have large populations of female sex workers (FSWs) with considerable geographic heterogeneity in their characteristics. In this paper, we describe the social organisation and structural patterns of female sex work in different geographic regions of Pakistan. We report geographic and network mapping data collected among FSWs in 15 cities across Pakistan in 2011 as part of the Canada-Pakistan HIV/AIDS Surveillance Project. A total number of 89 178 FSWs were estimated in the target cities for an average of 7.2 FSWs per 1000 adult males. 55% of the estimated number of FSWs concentrated in Karachi and Lahore. Based on the operations of female sex work, two major typologies of FSWs were identified: establishment-based and non-establishment-based. FSWs were further subtyped into those operating through brothels, homes, kothikhanas, streets and by cell phone. Cities varied considerably in terms of predominance of different FSW typologies. There is considerable heterogeneity among FSWs in Pakistan, geographically and in terms of operational typology. Understanding the social organisation of sex work and the influence of social-cultural and legal factors in Pakistan is essential for the design of HIV prevention programmes and other services for FSWs.
Walsh, Kieran; O'Shea, Eamon
2008-12-01
Older adult active retirement groups encompass health promotion, social and community psychological potential. However, little is known about the internal dynamics of these groups or their contribution to individual well-being and the community. This paper examines the Third Age Foundation as an example of one such group operating in a rural area in Ireland and explores the various relationships at work internally and externally. Methodology included: structured and semi-structured interviews, focus groups and a postal survey. A substantial contribution to members' well-being and community competence and cohesion was found. Findings are discussed in reference to the importance of individual and community empowerment, sustainability, social entrepreneurship/leadership and the potential of such models to support community-based living in older age.
NASA Astrophysics Data System (ADS)
Murphy, J.; Lammers, R. B.; Prousevitch, A.; Ozik, J.; Altaweel, M.; Collier, N. T.; Kliskey, A. D.; Alessa, L.
2015-12-01
Water Management in the U.S. Southwest is under increasing scrutiny as many areas endure persistent drought. The impact of these prolonged dry conditions is a product of regional climate and hydrological conditions, but also of a highly engineered water management infrastructure and a complex web of social arrangements whereby water is allocated, shared, exchanged, used, re-used, and finally consumed. We coupled an agent-based model with a regional hydrological model to understand the dynamics in one richly studied and highly populous area: southern Arizona, U.S.A., including metropolitan Phoenix and Tucson. There, multiple management entities representing an array of municipalities and other water providers and customers, including private companies and Native American tribes are enmeshed in a complex legal and economic context in which water is bought, leased, banked, and exchanged in a variety of ways and on multiple temporal and physical scales. A recurrent question in the literature of adaptive management is the impact of management structure on overall system performance. To explore this, we constructed an agent-based model to capture this social complexity, and coupled this with a physical hydrological model that we used to drive the system under a variety of water stress scenarios and to assess the regional impact of the social system's performance. We report the outcomes of ensembles of runs in which varieties of alternative policy constraints and management strategies are considered. We hope to contribute to policy discussions in this area and connected and legislatively similar areas (such as California) as current conditions change and existing legal and policy structures are revised. Additionally, we comment on the challenges of integrating models that ostensibly are in different domains (physical and social) but that independently represent a system in which physical processes and human actions are closely intertwined and difficult to disentangle.
Harding, David J.; Dobson, Cheyney C.; Wyse, Jessica J. B.; Morenoff, Jeffrey D.
2016-01-01
Cultural sociologists and other social scientists have increasingly used the concept of narrative as a theoretical tool to understand how individuals make sense of the links between their past, present, and future, how individuals construct social identities from cultural building blocks, and how culture shapes social action and individual behavior. Despite its richness, we contend that the narratives literature has yet to grapple with narrative change and stability when structural constraints or barriers challenge personal narratives and narrative identities. Particularly for marginalized groups, the potential incompatibility of personal narratives with daily experiences raises questions about the capacity of narratives to influence behavior and decision-making. In this study we draw on prospective longitudinal data on the reentry narratives and narrative identities of former prisoners to understand how narratives do and not change when confronted with contradictory experiences and structural constraints. We identify and describe the processes generating narrative change and stability among our subjects. These findings inform a framework for studying narrative change and stability based on four factors: the content of the narrative itself, the structural circumstances experienced by the individual, the institutional contexts in which the individual is embedded, and the social networks in which the individual is embedded. PMID:28316785
Face-to-face or not-to-face: A technology preference for communication.
Jaafar, Noor Ismawati; Darmawan, Bobby; Mohamed Ariffin, Mohd Yahya
2014-11-01
This study employed the Model of Technology Preference (MTP) to explain the relationship of the variables as the antecedents of behavioral intention to adopt a social networking site (SNS) for communication. Self-administered questionnaires were distributed to SNS account users using paper-based and web-based surveys that led to 514 valid responses. The data were analyzed using structural equation modeling (SEM). The results show that two out of three attributes of the attribute-based preference (ATRP) affect attitude-based preference (ATTP). The data support the hypotheses that perceived enjoyment and social presence are predictors of ATTP. In this study, the findings further indicated that ATTP has no relationship with the behavioral intention of using SNS, but it has a relationship with the attitude of using SNS. SNS development should provide features that ensure enjoyment and social presence for users to communicate instead of using the traditional face-to-face method of communication.
Fujiwara, Takeo; Kawachi, Ichiro
2014-01-01
To investigate the associations of maternal social networks and perceptions of trust with the prevalence of suspected autism spectrum disorders in 18-month-old offspring in Japan. Questionnaires included measurements of maternal social networks (number of relatives or friends they could call upon for assistance), maternal perceptions of trust, mutual assistance (i.e. individual measures of "cognitive social capital"), and social participation (i.e. individual measures of "structural social capital") as well as the Modified Checklist for Autism in Toddlers to detect suspected autism spectrum disorder (ASD). These tools were mailed to all families with 18-month-old toddlers in Chiba, a city near Tokyo (N = 6061; response rate: 64%). The association between social capital or social network indicators and suspected ASD were analyzed, adjusted for covariates by logistic regression analysis. Low maternal social trust was found to be significantly positively associated with suspected ASD in toddlers compared with high maternal social trust (adjusted odds ratio [OR]: 1.82, 95% confidence interval [CI]: 1.38 to 2.40); mutual aid was also significantly positively related (low vs. high: OR, 2.08, 95% CI: 1.59 to 2.73 [corrected]). However, maternal community participation showed U-shape association with suspected ASD of offspring. Maternal social network showed consistent inverse associations with suspected ASD of offspring, regardless of the type of social connection (e.g., relatives, neighbors, or friends living outside of their neighborhood). Mothers' cognitive social capital and social networks, but not structural social capital, might be associated with suspected ASD in offspring.
Bello-Urrego, Alejandra Del Rocío
2013-03-01
Based upon the public health sector perspective, this article explores conceptual approaches to address the issue of gender violence against women. To consider the election of an analysis framework regarding the phenomenon of violence against women in the health sector, in the light of the political implications of becoming a woman in the midst of a specific social order. Expert review of scientific literature published on free-access data bases so as to identify the most commonly used interpretation frameworks with regard to the phenomenon of violence against women in order to explain its political implications according to a specific social order. Becoming woman implies participation in social aspects from an inequity stemming from structural power. This is the reason why violence against women can never be considered away from its roots. i.e., a society that assigns to women social roles that imply diminished possibilities of access to the use of power through a sex/gender system which is binary, hierarchic and exclusive. In public health areas, the selection of interpretation frameworks that do not take into account the structural origin of violence against women contribute to their invisibilization and even to perpetuate it, independently from the conscience of the researcher on the basis of the political burden arising from the use of such frameworks to the detriment of others, or the intention of objectivity regarding frameworks with a heavy political burden that contribute to the maintenance of a sex/gender binary, hierarchic and excluding structure. Copyright © 2013 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.
On the evolution of harming and recognition in finite panmictic and infinite structured populations
Lehmann, Laurent; Feldman, Marcus W.; Rousset, François
2010-01-01
Natural selection may favor two very different types of social behaviors that have costs in vital rates (fecundity and/or survival) to the actor: helping behaviors, which increase the vital rates of recipients, and harming behaviors, which reduce the vital rates of recipients. While social evolutionary theory has mainly dealt with helping behaviors, competition for limited resources creates ecological conditions where an actor may benefit from expressing behaviors that reduce the vital rates of neighbours. This may occur if the reduction in vital rates decreases the intensity of competition experienced by the actor or that experienced by its offspring. Here, we explore the joint evolution of neutral recognition markers and marker-based costly conditional harming whereby actors express harming, conditional on actor and recipient bearing different conspicuous markers. We do so for two complementary demographic scenarios: finite panmictic and infinite structured populations. We find that marker-based conditional harming can evolve under a large range of recombination rates and group sizes under both finite panmictic and infinite structured populations. Direct comparison with results for the evolution of marker-based conditional helping reveals that, if everything else is equal, marker-based conditional harming is often more likely to evolve than marker-based conditional. PMID:19624725
Strengthening the Referral System through Social Capital: A Qualitative Inquiry in Ghana.
Amoah, Padmore Adusei; Phillips, David R
2017-10-25
The referral system in health care has been noted as very influential in determining which services are accessed and when. Nonetheless, existing studies have relied on specific measurable factors relating to health personnel, transportation and communication infrastructure, and finance to explain the challenges facing the referral policy in developing countries. While this is understandable, the role of social capital remains mostly uncharted even though it is implicit in the well-known lay referral system. Using various facets of the social capital concept, this paper empirically examines how the resources embedded in both structural and cognitive aspects of social relationships influence knowledge of, and adherence to, referral policy. This study is based on semi-structured in-depth interviews conducted with 79 adults in the Ashanti Region of Ghana in 2015. Of the 79 participants, 28 lived in urban areas and 51 in rural localities. Eight health personnel and eight community leaders also contributed to the study. Additionally, six focus group discussions were held. The findings indicated that both cognitive and structural forms of social capital considerably underpinned the ability and willingness of people to adhere to the referral process. Moreover, the role of social capital was double-barrelled. It contributed in a significant way to encouraging or dissuading potential patients from rightly embracing the policy. In addition, precepts of social capital reinforced both positive and adverse effects of the other determinants of the policy such as finance and transportation. However, the magnitude of such impact was linked to how 'resourceful' and 'trustworthy' one's available social acquaintances were. The paper suggests that a cautious engagement with social capital will make it a potentially powerful tool for understanding the gaps in and improving the effectiveness of referral policy.
Strengthening the Referral System through Social Capital: A Qualitative Inquiry in Ghana
Amoah, Padmore Adusei; Phillips, David R.
2017-01-01
The referral system in health care has been noted as very influential in determining which services are accessed and when. Nonetheless, existing studies have relied on specific measurable factors relating to health personnel, transportation and communication infrastructure, and finance to explain the challenges facing the referral policy in developing countries. While this is understandable, the role of social capital remains mostly uncharted even though it is implicit in the well-known lay referral system. Using various facets of the social capital concept, this paper empirically examines how the resources embedded in both structural and cognitive aspects of social relationships influence knowledge of, and adherence to, referral policy. This study is based on semi-structured in-depth interviews conducted with 79 adults in the Ashanti Region of Ghana in 2015. Of the 79 participants, 28 lived in urban areas and 51 in rural localities. Eight health personnel and eight community leaders also contributed to the study. Additionally, six focus group discussions were held. The findings indicated that both cognitive and structural forms of social capital considerably underpinned the ability and willingness of people to adhere to the referral process. Moreover, the role of social capital was double-barrelled. It contributed in a significant way to encouraging or dissuading potential patients from rightly embracing the policy. In addition, precepts of social capital reinforced both positive and adverse effects of the other determinants of the policy such as finance and transportation. However, the magnitude of such impact was linked to how ‘resourceful’ and ‘trustworthy’ one’s available social acquaintances were. The paper suggests that a cautious engagement with social capital will make it a potentially powerful tool for understanding the gaps in and improving the effectiveness of referral policy. PMID:29068366
ERIC Educational Resources Information Center
Maljaars, Jarymke; Noens, Ilse; Scholte, Evert; van Berckelaer-Onnes, Ina
2012-01-01
The Diagnostic Interview for Social and Communication Disorders (DISCO; Wing, 2006) is a standardized, semi-structured and interviewer-based schedule for diagnosis of autism spectrum disorder (ASD). The objective of this study was to evaluate the criterion and convergent validity of the DISCO-11 ICD-10 algorithm in young and low-functioning…
ERIC Educational Resources Information Center
Fordham, Signithia
This preliminary report examines the complex relationship between black adolescents' school performance and black Americans' intragroup social organization, as well as the intrusive influence of the larger social structure. It is based on a two-year ethnographic study of high school students in a black section of Washington, D.C. Emphasis is on…
ERIC Educational Resources Information Center
McLean, Monica; Abbas, Andrea; Ashwin, Paul
2015-01-01
This article places itself in conversation with literature about how the experience and outcomes of university education are structured by intersections between social class, ethnicity, gender, age and type of university attended. It addresses undergraduate students' acquisition of sociological knowledge in four diverse university settings. Basil…
The Role of the Individual in the Social Information Process
NASA Astrophysics Data System (ADS)
Fuchs, Christian
2003-03-01
The aim of this paper is to point out which role the individual plays in the generation of information in social systems. First, it is argued that the individual is a social, self-conscious, creative, reflective, cultural, symbol- and language-using, active natural, producing, labouring, objective, corporeal, living, real, sensuous, visionary, imaginative, designing, co-operative being that makes its own history and can strive towards freedom and autonomy. Based on these assumptions the re-creation/self-organisation of social systems is described as a dialectic of actions and social structures and as a dialectic of individual information and social information. The individual enters economic, political and cultural relationships that result in the emergence and differentiation of social (i.e. economic, political and cultural) information which enables and constrains individual actions and thinking. Individuals as actors in social systems are indispensable for social self-organisation.
Community structure and scale-free collections of Erdős-Rényi graphs.
Seshadhri, C; Kolda, Tamara G; Pinar, Ali
2012-05-01
Community structure plays a significant role in the analysis of social networks and similar graphs, yet this structure is little understood and not well captured by most models. We formally define a community to be a subgraph that is internally highly connected and has no deeper substructure. We use tools of combinatorics to show that any such community must contain a dense Erdős-Rényi (ER) subgraph. Based on mathematical arguments, we hypothesize that any graph with a heavy-tailed degree distribution and community structure must contain a scale-free collection of dense ER subgraphs. These theoretical observations corroborate well with empirical evidence. From this, we propose the Block Two-Level Erdős-Rényi (BTER) model, and demonstrate that it accurately captures the observable properties of many real-world social networks.
Annear, Peter Leslie; Ahmed, Shakil; Ros, Chhun Eang; Ir, Por
2013-11-01
Reaching out to the poor and the informal sector is a major challenge for achieving universal coverage in lesser-developed countries. In Cambodia, extensive coverage by health equity funds for the poor has created the opportunity to consolidate various non-government health financing schemes under the government's proposed social health protection structure. This paper identifies the main policy and operational challenges to strengthening existing arrangements for the poor and the informal sector, and considers policy options to address these barriers. Conducted in conjunction with the Cambodian Ministry of Health in 2011-12, the study reviewed policy documents and collected qualitative data through 18 semi-structured key informant interviews with government, non-government and donor officials. Data were analysed using the Organizational Assessment for Improving and Strengthening Health Financing conceptual framework. We found that a significant shortfall related to institutional, organisational and health financing issues resulted in fragmentation and constrained the implementation of social health protection schemes, including health equity funds, community-based health insurance, vouchers and others. Key documents proposed the establishment of a national structure for the unification of the informal-sector schemes but left unresolved issues related to structure, institutional capacity and the third-party status of the national agency. This study adds to the evidence base on appropriate and effective institutional and organizational arrangements for social health protection in the informal sector in developing countries. Among the key lessons are: the need to expand the fiscal space for health care; a commitment to equity; specific measures to protect the poor; building national capacity for administration of universal coverage; and working within the specific national context. Copyright © 2013 Elsevier Ltd. All rights reserved.
Solomon-Lane, Tessa K.; Pradhan, Devaleena S.; Willis, Madelyne C.; Grober, Matthew S.
2015-01-01
While individual variation in social behaviour is ubiquitous and causes social groups to differ in structure, how these structural differences affect fitness remains largely unknown. We used social network analysis of replicate bluebanded goby (Lythrypnus dalli) harems to identify the reproductive correlates of social network structure. In stable groups, we quantified agonistic behaviour, reproduction and steroid hormones, which can both affect and respond to social/reproductive cues. We identified distinct, optimal social structures associated with different reproductive measures. Male hatching success (HS) was negatively associated with agonistic reciprocity, a network structure that describes whether subordinates ‘reciprocated’ agonism received from dominants. Egg laying was associated with the individual network positions of the male and dominant female. Thus, males face a trade-off between promoting structures that facilitate egg laying versus HS. Whether this reproductive conflict is avoidable remains to be determined. We also identified different social and/or reproductive roles for 11-ketotestosterone, 17β-oestradiol and cortisol, suggesting that specific neuroendocrine mechanisms may underlie connections between network structure and fitness. This is one of the first investigations of the reproductive and neuroendocrine correlates of social behaviour and network structure in replicate, naturalistic social groups and supports network structure as an important target for natural selection. PMID:26156769
Shin, Ji In; Lee, Eunjoo
2017-05-01
To examine the relationship between evidence-based practice (EBP) adoption and social capital in nurses and to determine how social capital affected EBP adoption in South Korea. A cross-sectional, correlational design was used. In total, 432 registered nurses from two university-affiliated teaching hospitals in South Korea completed the questionnaire, which included demographic items, the Developing Evidence-Based Practice Questionnaire, and the Social Capital Outcomes for Nurses scale. Data were analyzed using hierarchical regression to identify the predictors of EBP adoption. Nurses with higher social capital scores reported fewer perceived barriers to finding and reviewing evidence, and changing practice. Higher social capital scores were associated with higher levels of perceived facilitators of EBP adoption and skills appraisal in finding and reviewing evidence. Social capital was a significant predictor of EBP adoption. Nurses with greater opportunities to exchange and communicate their ideas freely are more likely to accept new evidence through diverse channels and trust-based relationships between nurses, which allows healthcare organizations to promote innovations such as EBP adoption. Therefore, social capital in nurses could serve as a driving force for EBP adoption and should provide a healthy foundation for changes in patient care practices. Nurses with higher social capital are tending to adopt EBP willingly. High trust enables nurses to facilitate and support change in practice. Therefore, to improve EBP adoption in patient care, it needs to be monitored that relationships between nurses are carefully structured and that they foster mutual interaction. © 2017 Sigma Theta Tau International.
Vicsek, Tamás; Kubinyi, Enikő
2014-01-01
Movement interactions and the underlying social structure in groups have relevance across many social-living species. Collective motion of groups could be based on an “egalitarian” decision system, but in practice it is often influenced by underlying social network structures and by individual characteristics. We investigated whether dominance rank and personality traits are linked to leader and follower roles during joint motion of family dogs. We obtained high-resolution spatio-temporal GPS trajectory data (823,148 data points) from six dogs belonging to the same household and their owner during 14 30–40 min unleashed walks. We identified several features of the dogs' paths (e.g., running speed or distance from the owner) which are characteristic of a given dog. A directional correlation analysis quantifies interactions between pairs of dogs that run loops jointly. We found that dogs play the role of the leader about 50–85% of the time, i.e. the leader and follower roles in a given pair are dynamically interchangable. However, on a longer timescale tendencies to lead differ consistently. The network constructed from these loose leader–follower relations is hierarchical, and the dogs' positions in the network correlates with the age, dominance rank, trainability, controllability, and aggression measures derived from personality questionnaires. We demonstrated the possibility of determining dominance rank and personality traits of an individual based only on its logged movement data. The collective motion of dogs is influenced by underlying social network structures and by characteristics such as personality differences. Our findings could pave the way for automated animal personality and human social interaction measurements. PMID:24465200
Scott, A J; Wilson, R F
2011-01-01
African Americans living in rural USA experience multiple health disparities as a result of both race and rural geography. An increasing literature suggests that social determinants of health, the social contexts in which people live their lives, are key contributors to these health disparities. Ecological theory provides a valuable conceptual framework for exploring social determinants of health in communities, but few US rural health community-based studies have utilized this approach, or engaged ecological theory to explore rural contexts. This exploratory study blended a community-based, qualitative approach with ecological theory with the objective of identifying potential social determinants of health among African Americans in a rural community in the Deep South, from the perspectives of participants. In-depth interviews were conducted with rural, Deep South African Americans participants who were purposefully sampled to incorporate a range of perspectives. Interview guides structured around five ecological levels (individual, relational, environmental, structural, and superstructural) were used to frame interviews. Iterative content analysis of interview transcripts and field notes identified potential social determinants of health. An 'editing' approach to content analysis was used. Data and analysis quality was tested by triangulation at the level of the researcher, and by member checking with community members. Potential determinants of health were identified at all five levels of the ecological framework. At the individual level, lack of engagement with personal health and health promotion was a recurring theme. Participation in preventive health activities and education was minimal, even when offered in community settings. At the relational level, lack of social capital emerged as another potential social determinant of health, with estrangement between the younger and elder generations as one source, and fractiousness among churches (key institutions in the community) representing another. At the environmental level, the community built environment was an area of concern as it lacked opportunities for physical activity and access to healthy foods. The local job environment was identified as a potential social determinant of health, given the strong ties between income and health. At the structural level, participants complained of cronyism and nepotism favoring Whites in access to jobs, including those where local policies and funding allocations were made (eg funding for the local health department). In education, school system tracking policies were perceived to discourage African Americans from university education. At the superstructural level, high rates of poverty and racism emerged as potential social determinants. Poverty directly limited many African Americans' access to quality health care, and subtle racism was perceived in some delivery of care. Persistent stress from poverty and racism was reported, which creates health risks through physiologic pathways. This study identified potential social determinants of health, at multiple ecological levels, among African Americans in a rural community in the Deep South. The social determinants identified had the ability to impact a variety of health behaviors and health outcomes. The results demonstrate the value of this approach to conducting rural, community-based research. This descriptive and exploratory study highlights the need for quantitative exploration of these issues, as well as the development of context-appropriate, community-based health interventions that address multiple ecological levels.
Ball, Laura; Shreves, Kypher; Pilot, Małgorzata; Moura, André E
2017-01-01
Social structure plays a crucial role in determining a species' dispersal patterns and genetic structure. Cetaceans show a diversity of social and mating systems, but their effects on dispersal and genetic structure are not well known, in part because of technical difficulties in obtaining robust observational data. Here, we combine genetic profiling and GIS analysis to identify patterns of kin distribution over time and space, to infer mating structure and dispersal patterns in short-beaked common dolphins ( Delphinus delphis ). This species is highly social, and exhibits weak spatial genetic structure in the Northeast Atlantic and Mediterranean Sea, thought to result from fluid social structure and low levels of site fidelity. We found that although sampled groups were not composed of closely related individuals, close kin were frequently found in the same geographic location over several years. Our results suggest that common dolphin exhibits some level of site fidelity, which could be explained by foraging for temporally varying prey resource in areas familiar to individuals. Dispersal from natal area likely involves long-distance movements of females, as males are found more frequently than females in the same locations as their close kin. Long-distance dispersal may explain the near panmixia observed in this species. By analysing individuals sampled in the same geographic location over multiple years, we avoid caveats associated with divergence-based methods of inferring sex-biased dispersal. We thus provide a unique perspective on this species' social structure and dispersal behaviour, and how it relates to the observed low levels of population genetic structure in European waters. Movement patterns and social interactions are aspects of wild animal's behaviour important for understanding their ecology. However, tracking these behaviours directly can be very challenging in wide-ranging species such as whales and dolphins. In this study, we used genetic information to detect how patterns of kin associations change in space and time, to infer aspects of movement and social structure. We identified previously unknown site fidelity, and suggested that dispersal usually involves females, travelling long distances from the natal area. Our data analysis strategy overcomes known limitations of previously used genetic inference methods, and provides a new approach to identify differences in dispersal between the sexes, which contribute to better understanding of the species' behaviour and ecology. In this case, we suggest that females are more likely to disperse than males, a pattern unusual amongst mammals.
Ramirez-Valles, J; Zimmerman, M A; Newcomb, M D
1998-09-01
Sexual activity among high-school-aged youths has steadily increased since the 1970s, emerging as a significant public health concern. Yet, patterns of youth sexual risk behavior are shaped by social class, race, and gender. Based on sociological theories of financial deprivation and collective socialization, we develop and test a model of the relationships among neighborhood poverty; family structure and social class position; parental involvement; prosocial activities; race; and gender as they predict youth sexual risk behavior. We employ structural equation modeling to test this model on a cross-sectional sample of 370 sexually active high-school students from a midwestern city; 57 percent (n = 209) are males and 86 percent are African American. We find that family structure indirectly predicts sexual risk behavior through neighborhood poverty, parental involvement, and prosocial activities. In addition, family class position indirectly predicts sexual risk behavior through neighborhood poverty and prosocial activities. We address implications for theory and health promotion.
Hatzenbuehler, Mark L.; McLaughlin, Katie A.
2013-01-01
Background Youth exposed to extreme adverse life conditions have blunted cortisol responses to stress. Purpose To examine whether growing up in highly stigmatizing environments similarly shapes stigmatized individuals’ physiological responses to identity-related stress. Methods We recruited 74 lesbian, gay, and bisexual young adults (mean age=23.68) from 24 states with varying levels of structural stigma surrounding homosexuality. State-level structural stigma was coded based on several dimensions, including policies that exclude sexual minorities from social institutions (e.g., same-sex marriage). Participants were exposed to a laboratory stressor, the Trier Social Stress Test (TSST), and neuroendocrine measures were collected. Results LGB young adults who were raised in highly stigmatizing environments as adolescents evidenced a blunted cortisol response following the TSST compared to those from low-stigma environments. Conclusions The stress of growing up in environments that target gays and lesbians for social exclusion may exert biological effects that are similar to traumatic life experiences. PMID:24154988
Squires, Hazel; Chilcott, James; Akehurst, Ronald; Burr, Jennifer; Kelly, Michael P
2016-04-01
To identify the key methodological challenges for public health economic modelling and set an agenda for future research. An iterative literature search identified papers describing methodological challenges for developing the structure of public health economic models. Additional multidisciplinary literature searches helped expand upon important ideas raised within the review. Fifteen articles were identified within the formal literature search, highlighting three key challenges: inclusion of non-healthcare costs and outcomes; inclusion of equity; and modelling complex systems and multi-component interventions. Based upon these and multidisciplinary searches about dynamic complexity, the social determinants of health, and models of human behaviour, six areas for future research were specified. Future research should focus on: the use of systems approaches within health economic modelling; approaches to assist the systematic consideration of the social determinants of health; methods for incorporating models of behaviour and social interactions; consideration of equity; and methodology to help modellers develop valid, credible and transparent public health economic model structures.
Ash, Andrea C.; Redmond, Sean M.; Timler, Geralyn R.; Kean, Jacob
2017-01-01
The addition of social (pragmatic) communication disorder [S(P)CD] to the DSM-5 taxonomy has left clinicians and researchers searching for appropriate diagnostic measures. Factor analysis procedures examined the extent to which S(P)CD symptoms presented within the Children’s Communication Checklist-Second Edition (CCC-2) represented a unique construct and whether these factors were influenced by children’s sex. Parents of 208 children (males = 125 and females = 83) from a community-based sample completed the CCC-2. Two pragmatic scores from the CCC-2 were analysed as follows: the social interaction difference index (SIDI) and a pragmatic composite from the original CCC (PC-5). Factor analysis failed to find a unique factor structure for either pragmatic composite. Analyses uncovered different factor structures for the CCC-2 SIDI and PC-5 composites and for boys and girls. S(P)CD represents a complex combination of symptoms that are poorly differentiated from other language and socioemotional behavioural difficulties. PMID:27936954
Concerns and Structural Barriers Associated with WIC Participation among WIC-Eligible Women.
Liu, Cindy H; Liu, Heidi
2016-09-01
To examine sociodemographic status, psychosocial concerns, and structural barriers associated with women's participation in the USDA's Women, Infants, and Children (WIC) program among those eligible for the program. A total of 1,634 White, African-American, Hispanic, and Asian/Pacific Islander (A/PI) women from the New York City area completed the Pregnancy Risk Assessment Monitoring System (PRAMS) from 2004 to 2007, a population-based survey. Data on WIC eligibility and participation, sociodemographic details, unintended pregnancy, social support, and structural barriers were evaluated. Hispanics and Blacks were 4.1 and 2.4 times more likely to participate, respectively, in the WIC program relative to Whites. Mothers reporting unplanned pregnancies, fewer social supports, and more structural barriers (e.g., transportation) were less likely to participate in WIC. Race-stratified analyses revealed race/ethnic differences in the pattern of barriers; unintended pregnancy and structural problems were barriers associated with WIC participation particularly for A/PI. WIC-eligible women with unintended pregnancies and fewer social supports tend to participate in WIC, but those who experience more structural barriers are less likely to participate. A/PI women may face specific challenges to WIC participation. Careful attention is needed to understand the unique attitudes and behaviors in the process of participating in WIC. © 2016 Wiley Periodicals, Inc.
Efficient local behavioral-change strategies to reduce the spread of epidemics in networks
NASA Astrophysics Data System (ADS)
Bu, Yilei; Gregory, Steve; Mills, Harriet L.
2013-10-01
It has recently become established that the spread of infectious diseases between humans is affected not only by the pathogen itself but also by changes in behavior as the population becomes aware of the epidemic, for example, social distancing. It is also well known that community structure (the existence of relatively densely connected groups of vertices) in contact networks influences the spread of disease. We propose a set of local strategies for social distancing, based on community structure, that can be employed in the event of an epidemic to reduce the epidemic size. Unlike most social distancing methods, ours do not require individuals to know the disease state (infected or susceptible, etc.) of others, and we do not make the unrealistic assumption that the structure of the entire contact network is known. Instead, the recommended behavior change is based only on an individual's local view of the network. Each individual avoids contact with a fraction of his/her contacts, using knowledge of his/her local network to decide which contacts should be avoided. If the behavior change occurs only when an individual becomes ill or aware of the disease, these strategies can substantially reduce epidemic size with a relatively small cost, measured by the number of contacts avoided.
Fujimoto, Kayo; Valente, Thomas W.
2012-01-01
This study investigates two contagion mechanisms of peer influence based on direct communication (cohesion) versus comparison through peers who occupy similar network positions (structural equivalence) in the context of adolescents' drinking alcohol and smoking. To date, the two contagion mechanisms have been considered observationally inseparable, but this study attempts to disentangle structural equivalence from cohesion as a contagion mechanism by examining the extent to which the transmission of drinking and smoking behaviors attenuates as a function of social distance (i.e., from immediate friends to indirectly connected peers). Using the U.S. Add Health data consisting of a nationally representative sample of American adolescents (Grades 7-12), this study measured peer risk-taking up to four steps away from the adolescent (friends of friends of friends of friends) using a network exposure model. Peer influence was tested using a logistic regression model of alcohol drinking and cigarette smoking. Results indicate that influence based on structural equivalence tended to be stronger than influence based on cohesion in general, and that the magnitude of the effect decreased up to three steps away from the adolescent (friends of friends of friends). Further analysis indicated that structural equivalence acted as a mechanism of contagion for drinking and cohesion acted as one for smoking. These results indicate that the two transmission mechanisms with differing network proximities can differentially affect drinking and smoking behaviors in American adolescents. PMID:22475405
Trial-Based Functional Analysis Informs Treatment for Vocal Scripting.
Rispoli, Mandy; Brodhead, Matthew; Wolfe, Katie; Gregori, Emily
2018-05-01
Research on trial-based functional analysis has primarily focused on socially maintained challenging behaviors. However, procedural modifications may be necessary to clarify ambiguous assessment results. The purposes of this study were to evaluate the utility of iterative modifications to trial-based functional analysis on the identification of putative reinforcement and subsequent treatment for vocal scripting. For all participants, modifications to the trial-based functional analysis identified a primary function of automatic reinforcement. The structure of the trial-based format led to identification of social attention as an abolishing operation for vocal scripting. A noncontingent attention treatment was evaluated using withdrawal designs for each participant. This noncontingent attention treatment resulted in near zero levels of vocal scripting for all participants. Implications for research and practice are presented.
Social isolation: unit-based activities for impaired elders.
Windriver, W
1993-03-01
Loneliness can lead to illness and death, and is such a painful experience that a resident may not verbalize it directly. Quality nursing care requires that problems of social isolation are identified and a plan developed for adequate intervention. Impaired residents will be more successful socially when they can access a variety of interesting activities in small groups where familiar staff take initiative and establish a rapport. Institutional nurses are in a unique position to request the structural and personnel changes necessary to bring creative activities to the nursing units of impaired elders.
Townsend, P
1986-01-01
In this article the author restates the same arguments put forward in the first Fabian Tract of 1884 entitled Why Are the Many Poor? Today, mass poverty is still the central problem facing the British nation and all nations. The only long-term remedy is to restrict the power and wealth of the rich, to dismantle the present structures of social privilege, and to build social institutions based on fair allocation of wealth and on social equality. The public debate of one hundred years ago on the connections between poverty and wealth is revived in this article.
Social Network Supported Process Recommender System
Ye, Yanming; Yin, Jianwei; Xu, Yueshen
2014-01-01
Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced. PMID:24672309
Fujiyama, Toshifumi; Matsui, Chihiro; Takemura, Akimichi
2016-01-01
We propose a power-law growth and decay model for posting data to social networking services before and after social events. We model the time series structure of deviations from the power-law growth and decay with a conditional Poisson autoregressive (AR) model. Online postings related to social events are described by five parameters in the power-law growth and decay model, each of which characterizes different aspects of interest in the event. We assess the validity of parameter estimates in terms of confidence intervals, and compare various submodels based on likelihoods and information criteria. PMID:27505155
Social inheritance can explain the structure of animal social networks
Ilany, Amiyaal; Akçay, Erol
2016-01-01
The social network structure of animal populations has major implications for survival, reproductive success, sexual selection and pathogen transmission of individuals. But as of yet, no general theory of social network structure exists that can explain the diversity of social networks observed in nature, and serve as a null model for detecting species and population-specific factors. Here we propose a simple and generally applicable model of social network structure. We consider the emergence of network structure as a result of social inheritance, in which newborns are likely to bond with maternal contacts, and via forming bonds randomly. We compare model output with data from several species, showing that it can generate networks with properties such as those observed in real social systems. Our model demonstrates that important observed properties of social networks, including heritability of network position or assortative associations, can be understood as consequences of social inheritance. PMID:27352101
A generalized theory of preferential linking
NASA Astrophysics Data System (ADS)
Hu, Haibo; Guo, Jinli; Liu, Xuan; Wang, Xiaofan
2014-12-01
There are diverse mechanisms driving the evolution of social networks. A key open question dealing with understanding their evolution is: How do various preferential linking mechanisms produce networks with different features? In this paper we first empirically study preferential linking phenomena in an evolving online social network, find and validate the linear preference. We propose an analyzable model which captures the real growth process of the network and reveals the underlying mechanism dominating its evolution. Furthermore based on preferential linking we propose a generalized model reproducing the evolution of online social networks, and present unified analytical results describing network characteristics for 27 preference scenarios. We study the mathematical structure of degree distributions and find that within the framework of preferential linking analytical degree distributions can only be the combinations of finite kinds of functions which are related to rational, logarithmic and inverse tangent functions, and extremely complex network structure will emerge even for very simple sublinear preferential linking. This work not only provides a verifiable origin for the emergence of various network characteristics in social networks, but bridges the micro individuals' behaviors and the global organization of social networks.
Bolton, Paul A.; Annan, Jeannie; Kaysen, Debra; Robinette, Katie; Cetinoglu, Talita; Wachter, Karin; Bass, Judith K.
2014-01-01
Objectives. We evaluated changes in social capital following group-based cognitive processing therapy (CPT) for female survivors of sexual violence. Methods. We compared CPT with individual support in a cluster-randomized trial in villages in South Kivu province, Democratic Republic of the Congo. Local psychosocial assistants delivered the interventions from April through July 2011. We evaluated differences between CPT and individual support conditions for structural social capital (i.e., time spent with nonkin social network, group membership and participation, and the size of financial and instrumental support networks) and emotional support seeking. We analyzed intervention effects with longitudinal random effects models. Results. We obtained small to medium effect size differences for 2 study outcomes. Women in the CPT villages increased group membership and participation at 6-month follow-up and emotional support seeking after the intervention compared with women in the individual support villages. Conclusions. Results support the efficacy of group CPT to increase dimensions of social capital among survivors of sexual violence in a low-income conflict-affected context. PMID:25033113
Barman-Adhikari, Anamika; Begun, Stephanie; Rice, Eric; Yoshioka-Maxwell, Amanda; Perez-Portillo, Andrea
2016-07-01
Homeless youths' social networks are consistently linked with their substance use. Social networks influence behavior through several mechanisms, especially social norms. This study used sociometric analyses to understand whether social norms of drug use behaviors are clustered in network structures and whether these perceived norms (descriptive and injunctive) influence youths' drug use behaviors. An event-based approach was used to delineate boundaries of the two sociometric networks of homeless youth, one in Los Angeles, CA (n = 160) and the other in Santa Monica, CA (n = 130). Network characteristics included centrality (i.e., popularity) and cohesiveness (location in dense subnetworks). The primary outcome was recent methamphetamine use. Results revealed that both descriptive and injunctive norms influenced methamphetamine use. Network cohesion was found to be associated with perception of both descriptive and injunctive norms in both networks, however in opposite directions. Network interventions therefore might be effective if designed to capitalize on social influence that naturally occurs in cohesive parts of networks. Copyright © 2016 Elsevier Inc. All rights reserved.
a New Dynamic Community Model for Social Networks
NASA Astrophysics Data System (ADS)
Lu, Zhe-Ming; Wu, Zhen; Guo, Shi-Ze; Chen, Zhe; Song, Guang-Hua
2014-09-01
In this paper, based on the phenomenon that individuals join into and jump from the organizations in the society, we propose a dynamic community model to construct social networks. Two parameters are adopted in our model, one is the communication rate Pa that denotes the connection strength in the organization and the other is the turnover rate Pb, that stands for the frequency of jumping among the organizations. Based on simulations, we analyze not only the degree distribution, the clustering coefficient, the average distance and the network diameter but also the group distribution which is closely related to their community structure. Moreover, we discover that the networks generated by the proposed model possess the small-world property and can well reproduce the networks of social contacts.
The EXODUS of public health. What history can tell us about the future.
Fairchild, Amy L; Rosner, David; Colgrove, James; Bayer, Ronald; Fried, Linda P
2010-01-01
We trace the shifting definitions of the American public health profession's mission as a social reform and science-based endeavor. Its authority coalesced in the late nineteenth and early twentieth centuries as public health identified itself with housing, sanitation, and labor reform efforts. The field ceded that authority to medicine and other professions as it jettisoned its social mission in favor of a science-based identity. Understanding the potential for achieving progressive social change as it moves forward will require careful consideration of the industrial, structural, and intellectual forces that oppose radical reform and the identification of constituencies with which professionals can align to bring science to bear on the most pressing challenges of the day.
The EXODUS of Public Health What History Can Tell Us About the Future
Rosner, David; Colgrove, James; Bayer, Ronald; Fried, Linda P.
2010-01-01
We trace the shifting definitions of the American public health profession's mission as a social reform and science-based endeavor. Its authority coalesced in the late nineteenth and early twentieth centuries as public health identified itself with housing, sanitation, and labor reform efforts. The field ceded that authority to medicine and other professions as it jettisoned its social mission in favor of a science-based identity. Understanding the potential for achieving progressive social change as it moves forward will require careful consideration of the industrial, structural, and intellectual forces that oppose radical reform and the identification of constituencies with which professionals can align to bring science to bear on the most pressing challenges of the day. PMID:19965565
Multilevel Design of School Effectiveness Studies in Sub-Saharan Africa
ERIC Educational Resources Information Center
Kelcey, Ben; Shen, Zuchao
2016-01-01
School-based improvement programs represent a core strategy in improving education because they can leverage pre-existing social and organizational structures to promote coordinated and comprehensive change across multiple facets of schooling. School-based programs are generally designed to be implemented by intact schools/districts, frequently…
Social Networks and Cooperation in Hunter-Gatherers
Apicella, Coren L.; Marlowe, Frank W.; Fowler, James H.; Christakis, Nicholas A.
2011-01-01
Social networks exhibit striking structural regularities1,2, and theory and evidence suggest that they may have played a role in the development of large-scale cooperation in humans3–7. Here, we characterize the social networks of the Hadza, an evolutionarily relevant population of hunter-gatherers8. We show that Hadza networks exhibit important properties also seen in modernized networks, including a skewed degree distribution, degree assortativity, transitivity, reciprocity, geographic decay, and homophily. Moreover, we demonstrate that Hadza camps exhibit high between-group and low within-group variation in public goods game donations. Network ties are also more likely between people who give the same amount, and the similarity in cooperative behaviour extends up to two degrees of separation. Finally, social distance appears to be as important as genetic relatedness and physical proximity in explaining assortativity in cooperation. Our results suggest that certain elements of social network structure may have been present at an early point in human history; that early humans may have formed ties with both kin and non-kin based, in part, on their tendency to cooperate; and that social networks may have contributed to the emergence of cooperation. PMID:22281599
Model of community emergence in weighted social networks
NASA Astrophysics Data System (ADS)
Kumpula, J. M.; Onnela, J.-P.; Saramäki, J.; Kertész, J.; Kaski, K.
2009-04-01
Over the years network theory has proven to be rapidly expanding methodology to investigate various complex systems and it has turned out to give quite unparalleled insight to their structure, function, and response through data analysis, modeling, and simulation. For social systems in particular the network approach has empirically revealed a modular structure due to interplay between the network topology and link weights between network nodes or individuals. This inspired us to develop a simple network model that could catch some salient features of mesoscopic community and macroscopic topology formation during network evolution. Our model is based on two fundamental mechanisms of network sociology for individuals to find new friends, namely cyclic closure and focal closure, which are mimicked by local search-link-reinforcement and random global attachment mechanisms, respectively. In addition we included to the model a node deletion mechanism by removing all its links simultaneously, which corresponds for an individual to depart from the network. Here we describe in detail the implementation of our model algorithm, which was found to be computationally efficient and produce many empirically observed features of large-scale social networks. Thus this model opens a new perspective for studying such collective social phenomena as spreading, structure formation, and evolutionary processes.
Religious networking organizations and social justice: an ethnographic case study.
Todd, Nathan R
2012-09-01
The current study provides an innovative examination of how and why religious networking organizations work for social justice in their local community. Similar to a coalition or community coordinating council, religious networking organizations are formal organizations comprised of individuals from multiple religious congregations who consistently meet to organize around a common goal. Based on over a year and a half of ethnographic participation in two separate religious networking organizations focused on community betterment and social justice, this study reports on the purpose and structure of these organizations, how each used networking to create social capital, and how religion was integrated into the organizations' social justice work. Findings contribute to the growing literature on social capital, empowering community settings, and the unique role of religious settings in promoting social justice. Implications for future research and practice also are discussed.
Social and structural aspects of the overdose risk environment in St. Petersburg, Russia
Grau, Lauretta E.; Blinnikova, Ksenia N.; Torban, Mikhail; Krupitsky, Evgeny; Ilyuk, Ruslan; Kozlov, Andrei; Heimer, Robert
2009-01-01
Background While overdose is a common cause of mortality among opioid injectors worldwide, little information exists on opioid overdoses or how context may influence overdose risk in Russia. This study sought to uncover social and structural aspects contributing to fatal overdose risk in St. Petersburg and assess prevention intervention feasibility. Methods Twenty-one key informant interviews were conducted with drug users, treatment providers, toxicologists, police, and ambulance staff. Thematic coding of interview content was conducted to elucidate elements of the overdose risk environment. Results Several factors within St. Petersburg’s environment were identified as shaping illicit drug users’ risk behaviors and contributing to conditions of suboptimal response to overdose in the community. Most drug users live and experience overdoses at home, where family and home environment may mediate or moderate risk behaviors. The overdose risk environment is also worsened by inefficient emergency response infrastructure, insufficient cardiopulmonary or naloxone training resources, and the preponderance of abstinence-based treatment approaches to the exclusion of other treatment modalities. However, attitudes of drug users and law enforcement officials generally support overdose prevention intervention feasibility. Modifiable aspects of the risk environment suggest community-based and structural interventions, including overdose response training for drug users and professionals that encompasses naloxone distribution to the users and equipping more ambulances with naloxone. Conclusion Local social and structural elements influence risk environments for overdose. Interventions at the community and structural levels to prevent and respond to opioid overdoses are needed for and integral to reducing overdose mortality in St. Petersburg. PMID:18774283
Predicting future conflict between team-members with parameter-free models of social networks
NASA Astrophysics Data System (ADS)
Rovira-Asenjo, Núria; Gumí, Tània; Sales-Pardo, Marta; Guimerà, Roger
2013-06-01
Despite the well-documented benefits of working in teams, teamwork also results in communication, coordination and management costs, and may lead to personal conflict between team members. In a context where teams play an increasingly important role, it is of major importance to understand conflict and to develop diagnostic tools to avert it. Here, we investigate empirically whether it is possible to quantitatively predict future conflict in small teams using parameter-free models of social network structure. We analyze data of conflict appearance and resolution between 86 team members in 16 small teams, all working in a real project for nine consecutive months. We find that group-based models of complex networks successfully anticipate conflict in small teams whereas micro-based models of structural balance, which have been traditionally used to model conflict, do not.
Conceptual change strategies in teaching genetics
NASA Astrophysics Data System (ADS)
Batzli, Laura Elizabeth
The purpose of this study was to evaluate the effectiveness of utilizing conceptual change strategies when teaching high school genetics. The study examined the effects of structuring instruction to provide students with cognitive situations which promote conceptual change, specifically instruction was structured to elicit students' prior knowledge. The goal of the study was that the students would not only be able to solve genetics problems and define basic terminology but they would also have constructed more scientific schemas of the actual processes involved in inheritance. This study is based on the constructivist theory of learning and conceptual change research which suggest that students are actively involved in the process of relating new information to prior knowledge as they construct new knowledge. Two sections of biology II classes received inquiry based instruction and participated in structured cooperative learning groups. However, the unique difference in the treatment group's instruction was the use of structured thought time and the resulting social interaction between the students. The treatment group students' instructional design allowed students to socially construct their cognitive knowledge after elicitation of their prior knowledge. In contrast, the instructional design for the control group students allowed them to socially construct their cognitive knowledge of genetics without the individually structured thought time. The results indicated that the conceptual change strategies with individually structured thought time improved the students' scientific mastery of genetics concepts and they maintained fewer post instructional alternative conceptions. Although all students gained the ability to correctly solve genetics problems, the treatment group students were able to explain the processes involved in terms of meiosis. The treatment group students were also able to better apply their knowledge to novel genetic situations. The implications for genetics instruction from these results were discussed.
Müller, Eve; Schuler, Adriana; Yates, Gregory B
2008-03-01
The study describes the perspectives of individuals with Asperger syndrome and other autism spectrum disabilities (ASDs) regarding social challenges and supports. Eighteen adults with ASDs were individually interviewed. They were asked to describe their experiences navigating their social worlds, and recommend effective social supports and strategies for improving social connectedness. Qualitative analyses of the interview transcripts revealed a number of common experiences including a profound sense of isolation, difficulty initiating social interactions, challenges relating to communication, longing for greater intimacy, desire to contribute to one's community, and effort to develop greater social/self-awareness. Commonly recommended social supports included external supports (e.g. activities based on shared interests, highly structured or scripted social activities, and small groups or dyads); communication supports (e.g. alternative modes of communication, explicit communication, and instruction in interpreting and using social cues); and self-initiated strategies for handling social anxiety (e.g. creative/improvisational outlets, physical activity, spiritual practice/organized religion, and time spent alone).
Religion as a resource for positive youth development: religion, social capital, and moral outcomes.
Ebstyne King, Pamela; Furrow, James L
2004-09-01
Although existing literature demonstrates that developmental benefits are associated with religion for adolescents, little is understood about the dynamics of this relationship. Drawing on social capital theory, this study tested a conceptual model exploring socially embedded religious influences on moral outcomes. A three-dimensional model of social capital demonstrated how social interaction, trust, and shared vision enable social ties associated with religiousness to influence moral behavior. Structural equation modeling was used with data gathered from 735 urban youths to test a proposed model of the effects of religiousness on moral outcomes. Results suggested that religiously active youths report higher levels of social capital resources and that the influence of adolescent religiousness on moral outcomes was mediated through social capital resources. Suggestions for further research and implications for faith-based youth development organizations are considered. Copyright 2004 American Psychological Association
Chong, Eddie S K; Zhang, Yin; Mak, Winnie W S; Pang, Ingrid H Y
2015-03-01
Social media are found to facilitate social information exchange among lesbian, gay, and bisexual (LGB) individuals who are subjected to social stigma. This study tested the protective role of LGB-tailored social media uses and gratifications in promoting LGB group membership, which we hypothesized to reduce LGB stigma and enhance mental health among LGB individuals in Hong Kong. Based on a sample of 233 Chinese LGB individuals in Hong Kong, structural equation modeling showed evidence for our hypotheses, χ(df=62)(2)= 88.20, GFI = 0.95, CFI = 0.98, NNFI = 0.98, SRMR = 0.07, RMSEA = 0.04. Community surveillance, identity expression, and emotional support on social media may promote mental health by instilling a sense of group membership and reducing stigma. Social media may build camaraderie and bolster resilience among LGB individuals that may otherwise be difficult in conservative regions.
ERIC Educational Resources Information Center
Umarik, Meril; Loogma, Krista; Hinno, Krista
2010-01-01
This article aims to analyse how structural decoupling, which is an especially relevant problem for school-based vocational education and training (VET) systems, reveals itself in the assessment of practical training. Niklas Luhmann's social system theory has been applied to the analysis of assessment practices as a communication act between the…
Information Systems for Subject Specialists: A Multi-Modal Approach to Indexing and Classification.
ERIC Educational Resources Information Center
Swift, D.F.; And Others
A fundamental problem in the two broad approaches to indexing in the social sciences--providing structure using preferred terms, cross references, and groupings of sets of materials, or compiling a concordance of an author's terms based on occurrence, leaving users free to impose their own structure--is that different indexers and users focus on…
The social structure of schooling.
Dornbusch, S M; Glasgow, K L; Lin, I C
1996-01-01
The term social structure refers to a relatively enduring pattern of social arrangements or interrelations within a particular society, organization, or group. This chapter reviews how the social structure of the larger society and the organizational structure of schools affect the educational process within American schools. The institutional context of schooling is first discussed. The ideology of mass education, social stratification, status attainment, credentialism, and the emphasis on ability differences are considered. The focus then shifts to the organizational structure of schools, beginning with a discussion of the external social context for school organization. Attention is given to professionalism and bureaucracy, institutional forms of organization, decentralized control, and community influences. Finally, the internal structure of school organization is considered: teachers' working conditions, status differences among students, and curriculum tracking. Throughout, the emphasis is on ways in which social structure influences what is taught in school, how it is taught, and what is learned.
Schuttler, Stephanie G; Philbrick, Jessica A; Jeffery, Kathryn J; Eggert, Lori S
2014-01-01
Spatial patterns of relatedness within animal populations are important in the evolution of mating and social systems, and have the potential to reveal information on species that are difficult to observe in the wild. This study examines the fine-scale genetic structure and connectivity of groups within African forest elephants, Loxodonta cyclotis, which are often difficult to observe due to forest habitat. We tested the hypothesis that genetic similarity will decline with increasing geographic distance, as we expect kin to be in closer proximity, using spatial autocorrelation analyses and Tau K(r) tests. Associations between individuals were investigated through a non-invasive genetic capture-recapture approach using network models, and were predicted to be more extensive than the small groups found in observational studies, similar to fission-fusion sociality found in African savanna (Loxodonta africana) and Asian (Elephas maximus) species. Dung samples were collected in Lopé National Park, Gabon in 2008 and 2010 and genotyped at 10 microsatellite loci, genetically sexed, and sequenced at the mitochondrial DNA control region. We conducted analyses on samples collected at three different temporal scales: a day, within six-day sampling sessions, and within each year. Spatial autocorrelation and Tau K(r) tests revealed genetic structure, but results were weak and inconsistent between sampling sessions. Positive spatial autocorrelation was found in distance classes of 0-5 km, and was strongest for the single day session. Despite weak genetic structure, individuals within groups were significantly more related to each other than to individuals between groups. Social networks revealed some components to have large, extensive groups of up to 22 individuals, and most groups were composed of individuals of the same matriline. Although fine-scale population genetic structure was weak, forest elephants are typically found in groups consisting of kin and based on matrilines, with some individuals having more associates than observed from group sizes alone.
Toward a social justice theory of demographic transition: lessons from India's Kerala State.
Ratcliffe, J W
1983-06-01
Recent research evidence, which suggests that observed demographic trends and patterns are largely consequences of broad structural changes in society, has raised serious doubts about the validity of traditional demographic theory and the framework for action it has generated. This theoretical essay 1st recasts classical demographic transition theory in general systems terms in order to make it consistent with the evidence and to place the processes of fertility and mortality in a larger social context. The demographic transition experience of Kerala State, India is then recounted to provide a concrete example of the demographic response in society to structural reforms based primarily on equity considerations.
Text and Structural Data Mining of Influenza Mentions in Web and Social Media
DOE Office of Scientific and Technical Information (OSTI.GOV)
Corley, Courtney D.; Cook, Diane; Mikler, Armin R.
Text and structural data mining of Web and social media (WSM) provides a novel disease surveillance resource and can identify online communities for targeted public health communications (PHC) to assure wide dissemination of pertinent information. WSM that mention influenza are harvested over a 24-week period, 5-October-2008 to 21-March-2009. Link analysis reveals communities for targeted PHC. Text mining is shown to identify trends in flu posts that correlate to real-world influenza-like-illness patient report data. We also bring to bear a graph-based data mining technique to detect anomalies among flu blogs connected by publisher type, links, and user-tags.
Epidemic spreading on dual-structure networks with mobile agents
NASA Astrophysics Data System (ADS)
Yao, Yiyang; Zhou, Yinzuo
2017-02-01
The rapid development of modern society continually transforms the social structure which leads to an increasingly distinct dual structure of higher population density in urban areas and lower density in rural areas. Such structure may induce distinctive spreading behavior of epidemics which does not happen in a single type structure. In this paper, we study the epidemic spreading of mobile agents on dual structure networks based on SIRS model. First, beyond the well known epidemic threshold for generic epidemic model that when the infection rate is below the threshold a pertinent infectious disease will die out, we find the other epidemic threshold which appears when the infection rate of a disease is relatively high. This feature of two thresholds for the SIRS model may lead to the elimination of infectious disease when social network has either high population density or low population density. Interestingly, however, we find that when a high density area is connected to a low density may cause persistent spreading of the infectious disease, even though the same disease will die out when it spreads in each single area. This phenomenon indicates the critical role of the connection between the two areas which could radically change the behavior of spreading dynamics. Our findings, therefore, provide new understanding of epidemiology pertinent to the characteristic modern social structure and have potential to develop controlling strategies accordingly.
On some genetic consequences of social structure, mating systems, dispersal, and sampling
Parreira, Bárbara R.; Chikhi, Lounès
2015-01-01
Many species are spatially and socially organized, with complex social organizations and dispersal patterns that are increasingly documented. Social species typically consist of small age-structured units, where a limited number of individuals monopolize reproduction and exhibit complex mating strategies. Here, we model social groups as age-structured units and investigate the genetic consequences of social structure under distinct mating strategies commonly found in mammals. Our results show that sociality maximizes genotypic diversity, which contradicts the belief that social groups are necessarily subject to strong genetic drift and at high risk of inbreeding depression. Social structure generates an excess of genotypic diversity. This is commonly observed in ecological studies but rarely reported in population genetic studies that ignore social structure. This heterozygosity excess, when detected, is often interpreted as a consequence of inbreeding avoidance mechanisms, but we show that it can occur even in the absence of such mechanisms. Many seemly contradictory results from ecology and population genetics can be reconciled by genetic models that include the complexities of social species. We find that such discrepancies can be explained by the intrinsic properties of social groups and by the sampling strategies of real populations. In particular, the number of social groups and the nature of the individuals that compose samples (e.g., nonreproductive and reproductive individuals) are key factors in generating outbreeding signatures. Sociality is an important component of population structure that needs to be revisited by ecologists and population geneticists alike. PMID:26080393
Peer pressure and incentive mechanisms in social networks
NASA Astrophysics Data System (ADS)
Deng, Chuang; Ye, Chao; Wang, Lin; Rong, Zhihai; Wang, Xiaofan
2018-01-01
Cooperation can be viewed as a social norm that is expected in our society. In this work, a framework based on spatial public goods game theory is established to study how peer pressure and incentive mechanisms can influence the evolution of cooperation. A unified model with adjustable parameters is developed to represent the effects of pure Personal Mechanism, Personal Mechanism with peer pressure and Social Mechanism, which demonstrates that when the sum of rewards plus the peer pressure felt by defectors is larger than the effective cost of cooperation, cooperation can prevail. As the peer pressure is caused by other cooperators in a game, group size and network structure play an important role. In particular, larger group size and more heterogeneous structured population can make defectors feel more peer pressure, which will promote the evolution and sustainment of cooperation.
Valencia-Garcia, Dellanira; Simoni, Jane M.; Alegría, Margarita; Takeuchi, David T.
2012-01-01
Objective We examined whether individual-level social capital--the intangible resources in a community available through membership in social networks or other social structures and perceived trust in the community—was associated with acculturation; depression and anxiety symptoms; and perceived access to services among women of Mexican ancestry. Method Recruited through venue-based targeted sampling in King County, WA, 205 women of Mexican descent age 18 to 64 years who differed in socioeconomic status and nativity completed a cross-sectional survey. Half completed the survey in Spanish and half in English. Structural equation modeling was used for model testing. Results Social capital increased with level of acculturation and was negatively related to depression and anxiety; it had no direct association with perceived access to services. Social capital mediated the relation between acculturation and both depression and anxiety symptoms. Acculturation had no direct association with psychological distress but was directly associated with perceived access to services. This community sample of women reported high levels of psychological distress, with 20–26% of women meeting diagnostic criteria for depression or anxiety. Conclusions Social capital can be assessed at the individual level, increases with acculturation, and may be a potential target for interventions to improve mental health among Mexican American women residing in the U.S. PMID:22329824
Witherspoon, Dawn; Ennett, Susan
2014-01-01
Neighborhoods matter for youth; yet, most literature focuses on neighborhood deficits rather than strengths. To understand how best to capture neighborhoods, this study used census- and perception-based measures of neighborhood characteristics as suggested by social disorganization and pluralistic neighborhood theories, respectively, to determine the association between structural characteristics and perceptions of positive and negative neighborhood characteristics. The ethnically diverse (59% White and 34% African American) sample (N = 1414) consisted of early adolescents (53% female) and their mothers. We found that participants perceived distinct positive and negative neighborhood characteristics. For adolescents and mothers, neighborhood structural characteristics were positively associated with risk perceptions (e.g., physical and social disorder) but differently associated with positive neighborhood characteristics. In addition, participants perceived their neighborhoods differently (e.g., adolescents perceived less informal social control but more cohesion than their mothers). We discuss the importance of the neighborhood context, particularly positive neighborhood characteristics, for rural families. PMID:20047085
Hirsch, Jennifer S.; Meneses, Sergio; Thompson, Brenda; Negroni, Mirka; Pelcastre, Blanca; del Rio, Carlos
2007-01-01
Marriage presents the single greatest risk for HIV infection among women in rural Mexico. We drew on 6 months of participant observation, 20 marital case studies, 37 key informant interviews, and archival research to explore the factors that shape HIV risk among married women in one of the country’s rural communities. We found that culturally constructed notions of reputation in this community lead to sexual behavior designed to minimize men’s social risk (threats to one’s social status or relationships), rather than viral risk and that men’s desire for companionate intimacy may actually increase women’s risk for HIV infection. We also describe the intertwining of reputation-based sexual identities with structurally patterned sexual geographies (i.e. the social spaces that shape sexual behavior). We propose that, because of the structural nature of men’s extramarital sexual behavior, intervention development should concentrate on sexual geographies and risky spaces rather than risky behaviors or identities. PMID:17463368
The effect of social interactions in the primary consumption life cycle of motion pictures
NASA Astrophysics Data System (ADS)
Hidalgo R, César A.; Castro, Alejandra; Rodriguez-Sickert, Carlos
2006-04-01
We develop a 'basic principles' model which accounts for the primary life cycle consumption of films as a social coordination problem in which information transmission is governed by word of mouth. We fit the analytical solution of such a model to aggregated consumption data from the film industry and derive a quantitative estimator of its quality based on the structure of the life cycle.
ERIC Educational Resources Information Center
Talgat, Daniarov; Kanat, Bazarbaev; Saltanat, Nyshnova; Akbota, Myrzakhanova
2012-01-01
If we turn to the educational views and ideas in the history of education, we see that the goals of education have an active and changeable specific historical characteristics. Specifying its state policy and ideology determine the social needs, based on natural, social and human development of objective laws. In this structure, there is a need…
Wikberg, Eva C; Ting, Nelson; Sicotte, Pascale
2014-03-01
Kinship shapes female social networks in many primate populations in which females remain in their natal group to breed. In contrast, it is unclear to which extent kinship affects the social networks in populations with female dispersal. Female Colobus vellerosus show routine facultative dispersal (i.e., some females remain philopatric and others disperse). This dispersal pattern allowed us to evaluate if facultative dispersed females form social networks shaped by an attraction to kin, to social partners with a high resource holding potential, or to similar social partners in terms of maturational stage, dominance rank, and residency status. During 2008 and 2009, we collected behavioral data via focal and ad libitum sampling of 61 females residing in eight groups at Boabeng-Fiema, Ghana. We determined kinship based on partial pedigrees and genotypes at 17 short tandem repeat loci. Kinship influenced coalition and affiliation networks in three groups consisting of long-term resident females with access to a relatively high number of female kin. In contrast, similar residency status was more important than kinship in structuring the affiliation network in one of two groups that contained recent female immigrants. In populations with female dispersal, the occurrence of kin structured social networks may not only depend on the kin composition of groups but also on how long the female kin have resided together. We found no consistent support for females biasing affiliation toward partners with high resource holding potential, possibly due to low levels of contest competition and small inter-individual differences in resource holding potential. Copyright © 2013 Wiley Periodicals, Inc.
[Population changes and social welfare tasks].
Lee, H K
1985-07-01
Efforts to control population growth made during the last 20 years are expected to maintain a stable population in the future. We cannot limit our concern to the control of population growth but must consider the social welfare task in the aspect of population stability. It is not because population changes set limits to artificial control, but because the order of population changes presents a desirable sign for low fertility. Another important concern is to pay attention to how to make human beings already born and those to be born in the future enjoy their quality of life. Socioeconomic stability requires economic stabilization to meet basic essential needs. Changes in population structure, along with the quantitative growth of population, make changes in patterns of social welfare demands. When the pyramid type of population structure becomes changed to the bell or pot type of population structure, changes in education and employment as well as changes in problems of the aged and medical demands must be made. On the other hand, population changes accompany value changes in the process of modernization of society. These multiple social changes bring about a value of individualism and a nuclear family norm, and an enlargement of women's social participation which, in turn, can cause family problems. At the same time, social deviations and failures may be increased in the industrial society, and, thus, welfare countermeasures have to be taken. In this respect, the base of social welfare for meeting basic demands must be formed not in the past, narrow sense but in the long range and multisided aspects.
Fujiwara, Takeo; Kawachi, Ichiro
2014-01-01
Objective To investigate the associations of maternal social networks and perceptions of trust with the prevalence of suspected autism spectrum disorders in 18-month-old offspring in Japan. Methods Questionnaires included measurements of maternal social networks (number of relatives or friends they could call upon for assistance), maternal perceptions of trust, mutual assistance (i.e. individual measures of “cognitive social capital”), and social participation (i.e. individual measures of “structural social capital”) as well as the Modified Checklist for Autism in Toddlers to detect suspected autism spectrum disorder (ASD). These tools were mailed to all families with 18-month-old toddlers in Chiba, a city near Tokyo (N = 6061; response rate: 64%). The association between social capital or social network indicators and suspected ASD were analyzed, adjusted for covariates by logistic regression analysis. Results Low maternal social trust was found to be significantly positively associated with suspected ASD in toddlers compared with high maternal social trust (adjusted odds ratio [OR]: 1.82, 95% confidence interval [CI]: 1.38 to 2.40); mutual aid was also significantly positively related (low vs. high: OR, 1.82, 95% CI: 1.38 to 2.40). However, maternal community participation showed U-shape association with suspected ASD of offspring. Maternal social network showed consistent inverse associations with suspected ASD of offspring, regardless of the type of social connection (e.g., relatives, neighbors, or friends living outside of their neighborhood). Conclusions Mothers' cognitive social capital and social networks, but not structural social capital, might be associated with suspected ASD in offspring. PMID:24983630
Dambrun, Michaël; Duarte, Sandra; Guimond, Serge
2004-06-01
Arguing from a sociobiological perspective, Sidanius and Pratto (1999) have shown that the male/female difference in social dominance orientation (SDO) is largely invariant across cultural, situational and contextual boundaries. The main objective of this study was to test the validity of Social Dominance Theory (SDT) by contrasting it with a model derived from Social Identity Theory (SIT). More specifically, while SIT predicts that gender identification mediates the effect of gender on SDO, SDT predicts the reverse. According to SDT, the degree to which men and women endorse status legitimizing ideology should determine to what extent they identify with their gender group. Using structural equation modelling, the results provide strong support for the SIT model and no support for SDT predictions. Implications of these results for social dominance theory and its sociobiologically based invariance hypothesis are discussed.
The Role of Affective and Cognitive Individual Differences in Social Perception.
Aquino, Antonio; Haddock, Geoffrey; Maio, Gregory R; Wolf, Lukas J; Alparone, Francesca R
2016-06-01
Three studies explored the connection between social perception processes and individual differences in the use of affective and cognitive information in relation to attitudes. Study 1 revealed that individuals high in need for affect (NFA) accentuated differences in evaluations of warm and cold traits, whereas individuals high in need for cognition (NFC) accentuated differences in evaluations of competent and incompetent traits. Study 2 revealed that individual differences in NFA predicted liking of warm or cold targets, whereas individual differences in NFC predicted perceptions of competent or incompetent targets. Furthermore, the effects of NFA and NFC were independent of structural bases and meta-bases of attitudes. Study 3 revealed that differences in the evaluation of warm and cold traits mediated the effects of NFA and NFC on liking of targets. The implications for social perception processes and for individual differences in affect-cognition are discussed. © 2016 by the Society for Personality and Social Psychology, Inc.
Malti, Tina; Zuffianò, Antonio; Noam, Gil G
2018-04-01
Knowing every child's social-emotional development is important as it can support prevention and intervention approaches to meet the developmental needs and strengths of children. Here, we discuss the role of social-emotional assessment tools in planning, implementing, and evaluating preventative strategies to promote mental health in all children and adolescents. We, first, selectively review existing tools and identify current gaps in the measurement literature. Next, we introduce the Holistic Student Assessment (HSA), a tool that is based in our social-emotional developmental theory, The Clover Model, and designed to measure social-emotional development in children and adolescents. Using a sample of 5946 students (51% boys, M age = 13.16 years), we provide evidence for the psychometric validity of the self-report version of the HSA. First, we document the theoretically expected 7-dimension factor structure in a calibration sub-sample (n = 984) and cross-validate its structure in a validation sub-sample (n = 4962). Next, we show measurement invariance across development, i.e., late childhood (9- to 11-year-olds), early adolescence (12- to 14-year-olds), and middle adolescence (15- to 18-year-olds), and evidence for the HSA's construct validity in each age group. The findings support the robustness of the factor structure and confirm its developmental sensitivity. Structural equation modeling validity analysis in a multiple-group framework indicates that the HSA is associated with mental health in expected directions across ages. Overall, these findings show the psychometric properties of the tool, and we discuss how social-emotional tools such as the HSA can guide future research and inform large-scale dissemination of preventive strategies.
Collective phenomena in crowds—Where pedestrian dynamics need social psychology
2017-01-01
This article is on collective phenomena in pedestrian dynamics during the assembling and dispersal of gatherings. To date pedestrian dynamics have been primarily studied in the natural and engineering sciences. Pedestrians are analyzed and modeled as driven particles revealing self-organizing phenomena and complex transport characteristics. However, pedestrians in crowds also behave as living beings according to stimulus-response mechanisms or act as human subjects on the basis of social norms, social identities or strategies. To show where pedestrian dynamics need social psychology in addition to the natural sciences we propose the application of three categories–phenomena, behavior and action. They permit a clear discrimination between situations in which minimal models from the natural sciences are appropriate and those in which sociological and psychological concepts are needed. To demonstrate the necessity of this framework, an experiment in which a large group of people (n = 270) enters a concert hall through two different spatial barrier structures is analyzed. These two structures correspond to everyday situations such as boarding trains and access to immigration desks. Methods from the natural and social sciences are applied. Firstly, physical measurements show the influence of the spatial structure on the dynamics of the entrance procedure. Density, waiting time and speed of progress show large variations. Secondly, a questionnaire study (n = 60) reveals how people perceive and evaluate these entrance situations. Markedly different expectations, social norms and strategies are associated with the two spatial structures. The results from the questionnaire study do not always conform to objective physical measures, indicating the limitations of models which are based on objective physical measures alone and which neglect subjective perspectives. PMID:28591142
Collective phenomena in crowds-Where pedestrian dynamics need social psychology.
Sieben, Anna; Schumann, Jette; Seyfried, Armin
2017-01-01
This article is on collective phenomena in pedestrian dynamics during the assembling and dispersal of gatherings. To date pedestrian dynamics have been primarily studied in the natural and engineering sciences. Pedestrians are analyzed and modeled as driven particles revealing self-organizing phenomena and complex transport characteristics. However, pedestrians in crowds also behave as living beings according to stimulus-response mechanisms or act as human subjects on the basis of social norms, social identities or strategies. To show where pedestrian dynamics need social psychology in addition to the natural sciences we propose the application of three categories-phenomena, behavior and action. They permit a clear discrimination between situations in which minimal models from the natural sciences are appropriate and those in which sociological and psychological concepts are needed. To demonstrate the necessity of this framework, an experiment in which a large group of people (n = 270) enters a concert hall through two different spatial barrier structures is analyzed. These two structures correspond to everyday situations such as boarding trains and access to immigration desks. Methods from the natural and social sciences are applied. Firstly, physical measurements show the influence of the spatial structure on the dynamics of the entrance procedure. Density, waiting time and speed of progress show large variations. Secondly, a questionnaire study (n = 60) reveals how people perceive and evaluate these entrance situations. Markedly different expectations, social norms and strategies are associated with the two spatial structures. The results from the questionnaire study do not always conform to objective physical measures, indicating the limitations of models which are based on objective physical measures alone and which neglect subjective perspectives.
NASA Astrophysics Data System (ADS)
Thornton, Teresa; Leahy, Jessica
2012-02-01
Social network analysis (SNA) is a social science research tool that has not been applied to educational programs. This analysis is critical to documenting the changes in social capital and networks that result from community based K-12 educational collaborations. We review SNA and show an application of this technique in a school-centered, community based environmental monitoring research (CBEMR) program. This CBEMR employs K-12 students, state and local government employees, environmental organization representatives, local businesses, colleges, and community volunteers. As citizen scientists and researchers, collaborators create a database of local groundwater quality to use as a baseline for long-term environmental health management and public education. Past studies have evaluated the reliability of data generated by students acting as scientists, but there have been few studies relating to power dynamics, social capital, and resilience in school-centered CBEMR programs. We use qualitative and quantitative data gathered from a science education program conducted in five states in the northeastern United States. SPSS and NVivo data were derived from semi-structured interviews with thirty-nine participants before and after their participation in the CBEMR. Pajek software was used to determine participant centralities and power brokers within networks. Results indicate that there were statistically significant increases in social capital and resilience in social networks after participation in the school-centered CBEMR program leading to an increased community involvement in environmental health management. Limiting factors to the CBMER were based on the educator/administration relationship.
Dowbor, Tatiana Pluciennik; Westphal, Márcia Faria
2013-08-01
To analyze the current status of the interventions related to social determinants of health conducted in the context of the brazilian family health program. A case study using a mixed method approach based on a sequential explanatory strategy with 171 unit managers in the Family Health Care Program in the municipality of Sao Paulo, SP, Southeastern Brazil, in 2005/2006. Self-administered questionnaires were applied and semi-structured interviews and focus groups were conducted with a purposive sample of professionals involved in initiatives related to social determinants of health. Quantitative data were analyzed using descriptive statistics, multiple correspondence analysis, cluster analysis and correlation tests. Qualitative data were analyzed through content analysis and the creation of thematic categories. Despite the concentration of activities directed at disease care, the Family Health Care Program carries out various activities related to the social determination of health, encompassing the entire spectrum of health promotion approaches (biological, behavioral, psychological, social and structural) and all major social determinants of health described in the literature. There was a significant difference related to the scope of the determinants being worked on in the units according to the area of the city. The description of the activities revealed the fragility of the initiatives and a disconnection with the organizational structure of the Family Health Care Program. The quantity and variety of initiatives related to social determinants of health attests to the program's potential to deal with the social determination of health. On the other hand, the fluidity of objectives and the 'out of the ordinary/extraordinary' characterization of the described initiatives raises concern about its sustainability as an integral part of the program's current operational model.
Santini, Ziggi Ivan; Fiori, Katherine Leigh; Feeney, Joanne; Tyrovolas, Stefanos; Haro, Josep Maria; Koyanagi, Ai
2016-11-01
Data is lacking on the association of interpersonal stressors and social isolation with mental disorders and the mediating role of loneliness. Thus, we examined this association prospectively using community-based data. Data on 6105 adults aged ≥50 years from the Irish Longitudinal Study on Ageing (TILDA) was analyzed. Mental health outcomes were assessed 2 years after baseline. Depressive and anxiety symptoms were evaluated with validated scales. Multivariable linear regression and mediation analyses were conducted. Higher levels of spousal support, less strain from spouse and better social network integration were protective against depressive symptoms in men. Social support from friends and children was protective against depressive symptoms in both genders. Higher levels of social strain from children were positively associated with depressive symptoms in women. Loneliness was a significant mediator in the majority of these associations. Interventions aimed at increasing relationship quality and strengthening existing social network structures, with a specific focus on reducing feelings of loneliness, may be beneficial in the prevention of depressive symptoms among older adults. Copyright © 2016 Elsevier B.V. All rights reserved.
Garrido, D; Garcia-Fernandez, M; Garcia-Retamero, R; Carballo, G
2017-07-16
Following the adoption of the new international diagnosis classification from the Diagnostic and Statistical Manual (DSM-5), autism spectrum disorder (ASD) has been established as a dimensional category that includes other disorders that were previously considered as separate entities. Previous research has shown that some people with this disorder exhibit different communicative and linguistic profiles. Therefore, contradictory results could be found among people who receive the same diagnosis. To distinguish structural language aspects (expression and comprehension), interactive aspects (pragmatics), and social adaptation between children with an ASD-level 1 of support and children with typical development. Seventeen children with Asperger syndrome (according to the DSM-IV-TR), and 20 children with typical development between 7 and 12 years old. We have equated diagnosis of Asperger syndrome with ASD-level 1 of support. We have evaluated intelligence quotient, communication, and social adaptation with direct and indirect standardized parental scales. We have found significant differences in comprehension (p = 0.025), interaction (p = 0.001), and social adaptation (p = 0.001) between the two groups. Subjects with ASD-level 1 of support demonstrate an average intelligence quotient, and good expressive structure (syntax and semantic level), which may be different from other children who receive the same diagnosis, due to the wide heterogeneity of the disorder. Nevertheless, our subjects have problems related to comprehension of grammar structure, pragmatics, and social adaptation. These difficulties could be related to emotional and social problems.
Social capital and self-rated health in Colombia: the good, the bad and the ugly.
Hurtado, David; Kawachi, Ichiro; Sudarsky, John
2011-02-01
Although there is increasing evidence supporting the associations between social capital and health, less is known of potential effects in Latin American countries. Our objective was to examine associations of different components of social capital with self-rated health in Colombia. The study had a cross-sectional design, using data of a survey applied to a nationally representative sample of 3025 respondents, conducted in 2004-2005. Stratified random sampling was performed, based on town size, urban/rural origin, age, and sex. Examined indicators of social capital were interpersonal trust, reciprocity, associational membership, non-electoral political participation, civic activities and volunteering. Principal components analysis including different indicators of social capital distinguished three components: structural-formal (associational membership and non-electoral political participation), structural-informal (civic activities and volunteering) and cognitive (interpersonal trust and reciprocity). Multilevel analyses showed no significant variations of self-rated health at the regional level. After adjusting for sociodemographic covariates, interpersonal trust was statistically significantly associated with lower odds of poor/fair health, as well as the cognitive social capital component. Members of farmers/agricultural or gender-related groups had higher odds of poor/fair health, respectively. Excluding these groups, however, associational membership was associated with lower odds of poor/fair health. Likewise, in Colombians with educational attainment higher than high school, reciprocity was associated with lower odds of fair/poor health. Nevertheless, among rural respondents non-electoral political participation was associated with worse health. In conclusion, cognitive social capital and associational membership were related to better health, and could represent important notions for health promotion. Human rights violations related to political violence and gender based discrimination may explain adverse associations with health. Copyright © 2010 Elsevier Ltd. All rights reserved.
Neal, Zachary
2015-06-01
The concept of social capital is becoming increasingly common in community psychology and elsewhere. However, the multiple conceptual and operational definitions of social capital challenge its utility as a theoretical tool. The goals of this paper are to clarify two forms of social capital (bridging and bonding), explicitly link them to the structural characteristics of small world networks, and explore the behavioral and ecological prerequisites of its formation. First, I use the tools of network science and specifically the concept of small-world networks to clarify what patterns of social relationships are likely to facilitate social capital formation. Second, I use an agent-based model to explore how different ecological characteristics (diversity and segregation) and behavioral tendencies (homophily and proximity) impact communities' potential for developing social capital. The results suggest diverse communities have the greatest potential to develop community social capital, and that segregation moderates the effects that the behavioral tendencies of homophily and proximity have on community social capital. The discussion highlights how these findings provide community-based researchers with both a deeper understanding of the contextual constraints with which they must contend, and a useful tool for targeting their efforts in communities with the greatest need or greatest potential.
Primary prevention in public health: an analysis of basic assumptions.
Ratcliffe, J; Wallack, L
1985-01-01
The common definition of primary prevention is straightforward; but how it is transformed into a framework to guide action is based on personal and societal feelings and beliefs about the basis for social organization. This article focuses on the two contending primary prevention strategies of health promotion and health protection. The contention between the two strategies stems from a basic disagreement about disease causality in modern society. Health promotion is based on the "lifestyle" theory of disease causality, which sees individual health status linked ultimately to personal decisions about diet, stress, and drug habits. Primary prevention, from this perspective, entails persuading individuals to forgo their risk-taking, self-destructive behavior. Health protection, on the other hand, is based on the "social-structural" theory of disease causality. This theory sees the health status of populations linked ultimately to the unequal distribution of social resources, industrial pollution, occupational stress, and "anti-health promotion" marketing practices. Primary prevention, from this perspective, requires changing existing social and, particularly, economic policies and structures. In order to provide a basis for choosing between these contending strategies, the demonstrated (i.e., past) impact of each strategy on the health of the public is examined. Two conclusions are drawn. First, the health promotion strategy shows little potential for improving the public health, because it systematically ignores the risk-imposing, other-destructive behavior of influential actors (policy-makers and institutions) in society. And second, effective primary prevention efforts entail an "upstream" approach that results in far-reaching sociopolitical and economic change.
Page-Reeves, Janet; Moffett, Maurice L; Steimel, Leah; Smith, Daryl T
Health navigators and other types of community health workers (CHWs) have become recognized as essential components of quality care, and key for addressing health disparities owing to the complex health care services landscape presents almost insurmountable challenges for vulnerable individuals. Bernalillo County, New Mexico, has high rates of uninsurance, poverty, and food insecurity. The design of the Pathways to a Healthy Bernalillo County Program (BP) has evolved innovations that are unique in terms of program stability and security, expansive reach, and community capacity across six domains: sustainable public mechanism for program funding, involvement of community organizations in designing the program, expanded focus to address the broader social determinants of health with targeted outreach, an integrated, community-based implementation structure, an outcomes-based payment structure, and using an adaptive program design that actively incorporates navigators in the process. In 2008, the Pathways to a Healthy Bernalillo County Program (BP), located in the Albuquerque metropolitan area in central New Mexico, was established to provide navigation and support for the most vulnerable county residents. BP is funded through a 1% carve out of county mill levy funds. The pathways model is an outcome-based approach for health and social services coordination that uses culturally competent CHW as "navigators" trained to connect at-risk individuals to needed health and social services. One of the important innovations of the pathways approach is a shift in focus from merely providing discrete services to confirming healthy outcomes for the individual patient.
Noar, Seth M; Myrick, Jessica Gall; Zeitany, Alexandra; Kelley, Dannielle; Morales-Pico, Brenda; Thomas, Nancy E
2015-01-01
The lack of a theory-based understanding of indoor tanning is a major impediment to the development of effective messages to prevent or reduce this behavior. This study applied the Comprehensive Indoor Tanning Expectations (CITE) scale in an analysis of indoor tanning behavior among sorority women (total N = 775). Confirmatory factor analyses indicated that CITE positive and negative expectations were robust, multidimensional factors and that a hierarchical structure fit the data well. Social cognitive theory-based structural equation models demonstrated that appearance-oriented variables were significantly associated with outcome expectations. Outcome expectations were, in turn, significantly associated with temptations to tan, intention to tan indoors, and indoor tanning behavior. The implications of these findings for the development of messages to prevent and reduce indoor tanning behavior are discussed in two domains: (a) messages that attempt to change broader societal perceptions about tan skin, and (b) messages that focus more narrowly on indoor tanning-challenging positive expectations, enhancing negative expectations, and encouraging substitution of sunless tanning products.
Social Network Analysis and Nutritional Behavior: An Integrated Modeling Approach
Senior, Alistair M.; Lihoreau, Mathieu; Buhl, Jerome; Raubenheimer, David; Simpson, Stephen J.
2016-01-01
Animals have evolved complex foraging strategies to obtain a nutritionally balanced diet and associated fitness benefits. Recent research combining state-space models of nutritional geometry with agent-based models (ABMs), show how nutrient targeted foraging behavior can also influence animal social interactions, ultimately affecting collective dynamics and group structures. Here we demonstrate how social network analyses can be integrated into such a modeling framework and provide a practical analytical tool to compare experimental results with theory. We illustrate our approach by examining the case of nutritionally mediated dominance hierarchies. First we show how nutritionally explicit ABMs that simulate the emergence of dominance hierarchies can be used to generate social networks. Importantly the structural properties of our simulated networks bear similarities to dominance networks of real animals (where conflicts are not always directly related to nutrition). Finally, we demonstrate how metrics from social network analyses can be used to predict the fitness of agents in these simulated competitive environments. Our results highlight the potential importance of nutritional mechanisms in shaping dominance interactions in a wide range of social and ecological contexts. Nutrition likely influences social interactions in many species, and yet a theoretical framework for exploring these effects is currently lacking. Combining social network analyses with computational models from nutritional ecology may bridge this divide, representing a pragmatic approach for generating theoretical predictions for nutritional experiments. PMID:26858671
Burden, Joe W; Harrison, Louis; Hodge, Samuel R
2005-06-01
The purpose of this study was to examine the perceptions of African American faculty on their organizational socialization in kinesiology-based (i.e., sport pedagogy, exercise physiology, motor behavior, sport management/history) programs at predominantly White American institutions of higher education (PW-IHE). Participants were 9 African American tenure-track faculty members from various kinesiology-based programs at PW-IHE. Data were gathered via interviewing and analyzed within the framework of critical race theory (Ladson-Billings, 2000). Findings are presented using storytelling and thematic narratives. Interviews with the participants revealed four major recurring themes with regard to: (a) resources, opportunities, and power structures; (b) programmatic neglects and faculty mentoring needs; (c) social isolation, disengagement, and intellectual inferiority issues; and (d) double standards, marginalization, and scholarship biases. This study suggests that faculty and administrators at PW-IHE should develop sensitivity toward organizational socialization issues relevant to faculty of color.
Socio-cultural influences on young people's sexual development.
Shoveller, Jean A; Johnson, Joy L; Langille, Donald B; Mitchell, Terry
2004-08-01
Emerging evidence indicates that the mechanisms that create health (or ill health) at the population level exist at the intersection between the individual and more "upstream" forces that shape our social contexts. To investigate this proposition, we collected detailed descriptions of youth's perceptions about the socio-cultural and other structural aspects of their contexts that shape their sexual behaviour patterns, and ultimately their health outcomes. In this paper, we examine how social context shaped experiences and perceptions pertaining to sexual behaviour among 18-24 year olds living in two Canadian communities (one rural and one urban). We investigate explanations for the struggle that youth engage in as they attempt to situate their emergent sexual behaviour patterns within community, family, peer, and broader social contexts. Two central processes appeared to be important to the experiences of youth in the current study and their recollections about their adolescent sexual experiences. These processes are embedded in social norms and structures and are directed at pathologizing sex and silencing meaningful discussion about sex. Together, they interact to create a climate of sex-based shame. The findings of this qualitative study add to previous sociological and feminist research that has also demonstrated how traditional approaches to understanding youth sexual behaviour tend to ignore or discount the "embeddedness" of young people in their social structures and contexts. Copyright 2003 Elsevier Ltd.
Cassidy, Brittany S.; Gutchess, Angela H.
2012-01-01
Research has shown that lesions to regions involved in social and emotional cognition disrupt socioemotional processing and memory. We investigated how structural variation of regions involved in socioemotional memory [ventromedial prefrontal cortex (vmPFC), amygdala], as opposed to a region implicated in explicit memory (hippocampus), affected memory for impressions in young and older adults. Anatomical MRI scans for 15 young and 15 older adults were obtained and reconstructed to gather information about cortical thickness and subcortical volume. Young adults had greater amygdala and hippocampus volumes than old, and thicker left vmPFC than old, although right vmPFC thickness did not differ across the age groups. Participants formed behavior-based impressions and responded to interpersonally meaningful, social but interpersonally irrelevant, or non-social prompts, and completed a memory test. Results showed that greater left amygdala volume predicted enhanced overall memory for impressions in older but not younger adults. Increased right vmPFC thickness in older, but not younger, adults correlated with enhanced memory for impressions formed in the interpersonally meaningful context. Hippocampal volume was not predictive of social memory in young or older adults. These findings demonstrate the importance of structural variation in regions linked to socioemotional processing in the retention of impressions with age, and suggest that the amygdala and vmPFC play integral roles when encoding and retrieving social information. PMID:22973250
Finding social phobia patients from the Internet.
Chen, Jian-Ting; Lin, Chao-Cheng; Wang, Sheng-Chang; Liao, Shih-Cheng; Chen, Jen-Yeu; Liu, Chia-Yih; Lee, Ming-Been
2011-11-30
Patients with social phobia commonly resist face-to-face assessments, and a number of alternative assessment methods based on the Internet are being developed. The aim of this study was to identify patients with social phobia on the Internet and characterize their condition, using the Social Phobia Inventory (SPIN). In Stage I, this study recruited 1307 participants from the Internet, most of whom were well-educated young females, who had remained unmarried and unemployed. The Internet-based SPIN demonstrated excellent internal consistency (Cronbach's α=0.937) and good test-retest reliability (intraclass correlation coefficient=0.942). In Stage II, we examined the discriminant validity of the SPIN via structured telephone interviews. The area under the receiver operating characteristic curve used to discriminate social phobia was 0.871 with an optimal cut-off point of 24 on the total score for the SPIN. According to the SPIN scores, 919 of Stage I participants (70.3%) reached the threshold of social phobia, 531 of which (57.8%) had never sought professional help. These results suggest that the Internet is a potential avenue through which to find untreated patients with social phobia. Copyright © 2011 Elsevier Ltd. All rights reserved.
Lee, JuHee; Jung, Dukyoo; Choi, MoonKi
2016-01-01
The aim of this study was to clarify the relationship between social support, decisional conflict, and attitude towards advance directives, and determine whether decisional conflict mediates the relation between social support and advance directives attitude among older adults in South Korea. In total, 209 community-based older adults (mean age, 74.82 years) participated in this cross-sectional study. Demographic characteristics, self-perceived health status, social support, decisional conflict, and advance directives attitude were investigated via a structured questionnaire. Data analysis was carried out using Pearson's correlation and path analyses. The mean score of advance directives attitude was 48.01 (range, 35-61). Decisional conflict and social support were both significantly related to advance directives attitude (P < 0.001). Additionally, decisional conflict was a mediator between social support and advance directives attitudes. The results confirmed the importance of social support for reducing decisional conflict and encouraging positive attitudes toward advance directives. Future studies are needed to support the development of culturally sensitive educational approaches regarding advance directives for older adults in Korea. © 2015 The Authors. Japan Journal of Nursing Science © 2015 Japan Academy of Nursing Science.
[Depression of married and employed women based on social-role theory].
Cho, Insook; Ahn, Sukhee; Kim, Souk Young; Park, Young Sook; Kim, Hae Won; Lee, Sun Ok; Lee, Sook Hee; Chung, Chae Weon
2012-08-01
This study was based on social-role theory, and purposes were to investigate (1) how depression and health determinants vary with married and employed women, and (2) what factors contribute to depression according to family cycle. A stratified convenience sample of 765 married and employed women was recruited during May to August 2010. Study variables of depression, socio-demographic threatening factors, psycho-stimulating factors, and social-role related factors were measured via a structured questionnaire. Prevalence rate for depression was 18.6%, with highest rate (25.4%) from elementary laborers. Greater levels of depression were related to women's occupation, higher life stress, and poorer health; lower social support and vulnerable personality; higher levels of social-role related stress. From multivariate analysis, women with preadolescents were the most vulnerable to depression affected by occupation, life stress, personality, and parenting stress. These factors (except for occupational class) combined with economic status, social support, and housework unfairness were significant for depression in women with adolescents. Depression among married and employed women differs by psycho-stimulating and social role relevant factors in addition to occupational class and family life cycle. Female elementary laborers and women with children need to have the highest prioritization for community mental health programs.
Impact of Repeated Exposures on Information Spreading in Social Networks
Zhou, Cangqi; Zhao, Qianchuan; Lu, Wenbo
2015-01-01
Clustered structure of social networks provides the chances of repeated exposures to carriers with similar information. It is commonly believed that the impact of repeated exposures on the spreading of information is nontrivial. Does this effect increase the probability that an individual forwards a message in social networks? If so, to what extent does this effect influence people’s decisions on whether or not to spread information? Based on a large-scale microblogging data set, which logs the message spreading processes and users’ forwarding activities, we conduct a data-driven analysis to explore the answer to the above questions. The results show that an overwhelming majority of message samples are more probable to be forwarded under repeated exposures, compared to those under only a single exposure. For those message samples that cover various topics, we observe a relatively fixed, topic-independent multiplier of the willingness of spreading when repeated exposures occur, regardless of the differences in network structure. We believe that this finding reflects average people’s intrinsic psychological gain under repeated stimuli. Hence, it makes sense that the gain is associated with personal response behavior, rather than network structure. Moreover, we find that the gain is robust against the change of message popularity. This finding supports that there exists a relatively fixed gain brought by repeated exposures. Based on the above findings, we propose a parsimonious model to predict the saturated numbers of forwarding activities of messages. Our work could contribute to better understandings of behavioral psychology and social media analytics. PMID:26465749
Noone, Sarah; Jenkins, Nicholas
2017-10-25
The study sought to explore the lived experiences of people with dementia who participate in community-based gardening programmes. A collaborative gardening project was conducted over six weeks at a day centre for people with dementia. Six participants were recruited from the centre's attendees. Each session was co-designed by participants. Semi-structured group interviews were conducted each week, and researcher observations were documented. Semi-structured interviews were also conducted with the centre's staff to explore their views and to contextualise gardening participants' experiences. Data were analysed inductively using thematic analysis. This paper focuses upon three of the study's emergent themes: identity, agency, and community. The findings revealed that for people with dementia, gardening is not merely a matter of enjoying time outdoors; it is a forum for the articulation of identity and selfhood and expression of agency, and can facilitate the development of new social bonds based upon shared interests, rather than a shared diagnosis. Gardening-based interventions can offer more than simply facilitating outdoor engagement and promoting social interaction. When conditions are right, gardening can be an effective vehicle for the promotion of social citizenship and expression of selfhood and agency in dementia.
Steigen, Anne Mari; Bergh, Daniel
2018-02-05
This article analyses the psychometric properties of the Social Provisions Scale 10-items version. The Social Provisions Scale was analysed by means of the polytomous Rasch model, applied to data on 93 young adults (16-30 years) out of school or work, participating in different nature-based services, due to mental or drug-related problems. The psychometric analysis concludes that the original scale has difficulties related to targeting and construct validity. In order to improve the psychometric properties, the scale was modified to include eight items measuring functional support. The modification was based on theoretical and statistical considerations. After modifications the scale showed not only satisfying psychometric properties, but it also clarified uncertainties regarding construct validity of the measure. However, further analysis on larger samples are required. Implications for Rehabilitation Social support is important for a variety of rehabilitation outcomes and for different patient groups in the rehabilitation context, including people with mental health or drug-related problems. Social Provisions Scale may be used as a screening tool to assess social support of participants in rehabilitation, and the scale may also be an important instrument in rehabilitation research. There might be issues measuring structural support using a 10-items version of the Social Provisions Scale but it seemed to work well as an 8-item scale measuring functional support.
Andersen, Anders Johan W; Svensson, Tommy
2012-01-01
The Internet has enlarged the scope of human communication, opening new avenues for connecting with people who are struggling with their lives. This article presents a discourse analysis of 101 responses to 98 questions that were posted on 14 different Internet-based mental health services in Norway and Sweden. We aimed to examine and describe the dominant understandings and favored recommendations in the services’ answers, and we reflected upon the social consequences of those answers. The services generally understood life struggles as an abnormal state of mind, life rhythms, or self-reinforcing loops. Internet-based mental health services primarily counsel service users to seek help, talk to health care professionals face-to-face, and discuss their life struggles openly and honestly. They also urge service users to take better care of themselves and socialize with other people. However, such answers might enhance the individualization of life problems, masking social origin and construction. Consequently, the services are challenged to include social explanations in their answers and strengthen their responsibility to amplify peoples’ messages at a societal level. Potentially, such answers could strengthen democratic structures and put pressure on social equity. PMID:23049282
Defining and Measuring Transnational Social Structures
ERIC Educational Resources Information Center
Molina, José Luis; Petermann, Sören; Herz, Andreas
2015-01-01
Transnational social fields and transnational social spaces are often used interchangeably to describe and analyze emergent structures of cross-border formations. In this article, we suggest measuring two key aspects of these social structures: embeddedness and span of migrants' personal networks. While clustered graphs allow assessing…
Leerlooijer, Joanne N; Kok, Gerjo; Weyusya, Joseph; Bos, Arjan E R; Ruiter, Robert A C; Rijsdijk, Liesbeth E; Nshakira, Nathan; Bartholomew, Leona K
2014-08-01
Out-of-wedlock pregnancy among adolescents in sub-Saharan Africa is a major concern, because of its association with health, social, psychological, economic and demographic factors. This article describes the development of the Teenage Mothers Project, a community-based intervention to improve psychological and social well-being of unmarried teenage mothers in rural Uganda. We used Intervention Mapping (IM) for systematically developing a theory and evidence-based comprehensive health promotion programme. A planning group consisting of community leaders, teenage mothers, staff of a community-based organization and a health promotion professional was involved in the six steps of IM: needs assessment, programme objectives, methods and applications, intervention design, planning for adoption and implementation and planning for evaluation. The programme includes five intervention components: community awareness raising, teenage mother support groups, formal education and income generation, counselling, and advocacy. The intervention components are based on a variety of theoretical methods, including entertainment education, persuasive communication, mobilization of social networks and social action. In conclusion, IM facilitated the planning group to structure the iterative, bottom-up, participatory design of the project in a real-life setting and to use evidence and theory. The article provides suggestions for the planning of support interventions for unmarried teenage mothers. © The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.
ERIC Educational Resources Information Center
Blackwell, Maylei
2010-01-01
Based on a collaborative ethnography with Lideres Campesinas, a state-wide farmworker women's organization in California, this essay explores how activists have created multi-issued organizing strategies grounded in family structures and a community-based social world. Building on Gloria Anzaldua's theory of nepantla, it illustrates how campesina…
Local Nash equilibrium in social networks.
Zhang, Yichao; Aziz-Alaoui, M A; Bertelle, Cyrille; Guan, Jihong
2014-08-29
Nash equilibrium is widely present in various social disputes. As of now, in structured static populations, such as social networks, regular, and random graphs, the discussions on Nash equilibrium are quite limited. In a relatively stable static gaming network, a rational individual has to comprehensively consider all his/her opponents' strategies before they adopt a unified strategy. In this scenario, a new strategy equilibrium emerges in the system. We define this equilibrium as a local Nash equilibrium. In this paper, we present an explicit definition of the local Nash equilibrium for the two-strategy games in structured populations. Based on the definition, we investigate the condition that a system reaches the evolutionary stable state when the individuals play the Prisoner's dilemma and snow-drift game. The local Nash equilibrium provides a way to judge whether a gaming structured population reaches the evolutionary stable state on one hand. On the other hand, it can be used to predict whether cooperators can survive in a system long before the system reaches its evolutionary stable state for the Prisoner's dilemma game. Our work therefore provides a theoretical framework for understanding the evolutionary stable state in the gaming populations with static structures.
Local Nash Equilibrium in Social Networks
Zhang, Yichao; Aziz-Alaoui, M. A.; Bertelle, Cyrille; Guan, Jihong
2014-01-01
Nash equilibrium is widely present in various social disputes. As of now, in structured static populations, such as social networks, regular, and random graphs, the discussions on Nash equilibrium are quite limited. In a relatively stable static gaming network, a rational individual has to comprehensively consider all his/her opponents' strategies before they adopt a unified strategy. In this scenario, a new strategy equilibrium emerges in the system. We define this equilibrium as a local Nash equilibrium. In this paper, we present an explicit definition of the local Nash equilibrium for the two-strategy games in structured populations. Based on the definition, we investigate the condition that a system reaches the evolutionary stable state when the individuals play the Prisoner's dilemma and snow-drift game. The local Nash equilibrium provides a way to judge whether a gaming structured population reaches the evolutionary stable state on one hand. On the other hand, it can be used to predict whether cooperators can survive in a system long before the system reaches its evolutionary stable state for the Prisoner's dilemma game. Our work therefore provides a theoretical framework for understanding the evolutionary stable state in the gaming populations with static structures. PMID:25169150
Local Nash Equilibrium in Social Networks
NASA Astrophysics Data System (ADS)
Zhang, Yichao; Aziz-Alaoui, M. A.; Bertelle, Cyrille; Guan, Jihong
2014-08-01
Nash equilibrium is widely present in various social disputes. As of now, in structured static populations, such as social networks, regular, and random graphs, the discussions on Nash equilibrium are quite limited. In a relatively stable static gaming network, a rational individual has to comprehensively consider all his/her opponents' strategies before they adopt a unified strategy. In this scenario, a new strategy equilibrium emerges in the system. We define this equilibrium as a local Nash equilibrium. In this paper, we present an explicit definition of the local Nash equilibrium for the two-strategy games in structured populations. Based on the definition, we investigate the condition that a system reaches the evolutionary stable state when the individuals play the Prisoner's dilemma and snow-drift game. The local Nash equilibrium provides a way to judge whether a gaming structured population reaches the evolutionary stable state on one hand. On the other hand, it can be used to predict whether cooperators can survive in a system long before the system reaches its evolutionary stable state for the Prisoner's dilemma game. Our work therefore provides a theoretical framework for understanding the evolutionary stable state in the gaming populations with static structures.
Battista, Alexis
2017-01-01
The dominant frameworks for describing how simulations support learning emphasize increasing access to structured practice and the provision of feedback which are commonly associated with skills-based simulations. By contrast, studies examining student participants' experiences during scenario-based simulations suggest that learning may also occur through participation. However, studies directly examining student participation during scenario-based simulations are limited. This study examined the types of activities student participants engaged in during scenario-based simulations and then analyzed their patterns of activity to consider how participation may support learning. Drawing from Engeström's first-, second-, and third-generation activity systems analysis, an in-depth descriptive analysis was conducted. The study drew from multiple qualitative methods, namely narrative, video, and activity systems analysis, to examine student participants' activities and interaction patterns across four video-recorded simulations depicting common motivations for using scenario-based simulations (e.g., communication, critical patient management). The activity systems analysis revealed that student participants' activities encompassed three clinically relevant categories, including (a) use of physical clinical tools and artifacts, (b) social interactions, and (c) performance of structured interventions. Role assignment influenced participants' activities and the complexity of their engagement. Importantly, participants made sense of the clinical situation presented in the scenario by reflexively linking these three activities together. Specifically, student participants performed structured interventions, relying upon the use of physical tools, clinical artifacts, and social interactions together with interactions between students, standardized patients, and other simulated participants to achieve their goals. When multiple student participants were present, such as in a team-based scenario, they distributed the workload to achieve their goals. The findings suggest that student participants learned as they engaged in these scenario-based simulations when they worked to make sense of the patient's clinical presentation. The findings may provide insight into how student participants' meaning-making efforts are mediated by the cultural artifacts (e.g., physical clinical tools) they access, the social interactions they engage in, the structured interventions they perform, and the roles they are assigned. The findings also highlight the complex and emergent properties of scenario-based simulations as well as how activities are nested. Implications for learning, instructional design, and assessment are discussed.
Social structures in the operating theatre: how contradicting rationalities and trust affect work.
Rydenfält, Christofer; Johansson, Gerd; Larsson, Per Anders; Akerman, Kristina; Odenrick, Per
2012-04-01
This article is a report of a study of how healthcare professionals involved in surgery orientate themselves to their common task, and how this orientation can be affected by the social and organizational context. Previous research indicates that surgical teams are not as cohesive as could be expected and that communication failures frequently occur. However, little is known about how these problems are related to their social, cultural and organizational context. Semi-structured interviews were conducted with 15 healthcare professionals, representing all personnel categories of the surgical team. During the interview, a virtual model, visualizing a real operating theatre, was used to facilitate reflection. The interviews were conducted in 2009. Themes were created from the interviews, with a focus on similarities and differences. An activity analysis was conducted based on the themes. Poor team functionality and communication failures in the operating theatre can to some degree be explained by differences in activity orientation between professions and by insufficient support from social and organizational structures. Differences in activity orientation resulted in different views between professional groups in their perceptions of work activities, resulting in tension. Insufficient support resulted in communication thresholds that inhibited the sharing of information. Organizing work to promote cross-professional interaction can help the creation of social relations and norms, providing support for a common view. It can also help to decrease communication thresholds and establish stronger relations of trust. How this organization structure should be developed needs to be further investigated. © 2011 The Authors. Journal of Advanced Nursing © 2011 Blackwell Publishing Ltd.
Calculating the social cost of illegal drugs: a theoretical approach.
Diomidous, Marianna; Zimeras, Stelios; Mechili, Aggelos
2013-01-01
The use of illegal drugs generates a wide range of social harms depending on various ways, according to the policy definition of the problem. The challenge is the way to model the impact of illegal drugs use during a long time period considering the factors that affects the process. Based on these models, estimation could be measured and prediction could be achieved. The illegal drugs use might affect the economic and social structure of the public system leading to direct and effective decisions to overcome the problematic. For that reason, calculation of social cost related to the use of illegal could be introduced over time (t) as a proposed social measure to define the variability of social indicator on society. In this work, a theoretical approach for the calculation of social cost of illegal drugs is proposed and models over time are defined.
Social Support, Religious Endorsement, and Career Commitment: A Study on Saudi Nurses
Azim, Mohammad T.
2018-01-01
The present study investigates the effect of perceived social support (PSS) and perceived religious endorsement (PRE) on career commitment (CC) of Saudi nurses. The investigation also extends to the moderating role of different demographic and organizational factors in the extent of PSS, and career commitment these nurses report. Data required for meeting these study objectives were collected from male and female Saudi nurses through a structured questionnaire. Multiple regressions using Partial Least Squares based Structural Equation Model, Smart-PLS version 3.0, and independent sample t-test using SPSS version 22.0, were used to analyze data. The study findings reveal that both perceived social support and perceived religious endorsement are important antecedents of career commitment of Saudi nurses. However, private-sector nurses are found to exhibit a significantly higher level of career commitment compared to their public-sector counterparts. Nurses with greater educational attainment perceive higher level of social support and express greater career commitment than their less educated peers. These findings suggest that nursing as a profession should be more openly discussed in both secular and religious contexts, to ensure an adequate level of respect and compassion on behalf of the public. In particular, endorsement from the individual nurses’ social networks is vital in maintaining their wellbeing and career commitment. Given the religious influence in all aspects of life in the Saudi society, the current practice of gender-based segregation in Saudi hospitals and clinics seems to be meaningful for sustaining the career commitment of the nurses. PMID:29320417
Social Support, Religious Endorsement, and Career Commitment: A Study on Saudi Nurses.
Azim, Mohammad T; Islam, Mazharul M
2018-01-10
The present study investigates the effect of perceived social support (PSS) and perceived religious endorsement (PRE) on career commitment (CC) of Saudi nurses. The investigation also extends to the moderating role of different demographic and organizational factors in the extent of PSS, and career commitment these nurses report. Data required for meeting these study objectives were collected from male and female Saudi nurses through a structured questionnaire. Multiple regressions using Partial Least Squares based Structural Equation Model, Smart-PLS version 3.0, and independent sample t -test using SPSS version 22.0, were used to analyze data. The study findings reveal that both perceived social support and perceived religious endorsement are important antecedents of career commitment of Saudi nurses. However, private-sector nurses are found to exhibit a significantly higher level of career commitment compared to their public-sector counterparts. Nurses with greater educational attainment perceive higher level of social support and express greater career commitment than their less educated peers. These findings suggest that nursing as a profession should be more openly discussed in both secular and religious contexts, to ensure an adequate level of respect and compassion on behalf of the public. In particular, endorsement from the individual nurses' social networks is vital in maintaining their wellbeing and career commitment. Given the religious influence in all aspects of life in the Saudi society, the current practice of gender-based segregation in Saudi hospitals and clinics seems to be meaningful for sustaining the career commitment of the nurses.
ERIC Educational Resources Information Center
Kalleberg, Arne L.; Knoke, David; Marsden, Peter V.; Spaeth, Joe L.
In 1991 the National Organizations Study (NOS) surveyed a number of U.S. businesses about their structure, context, and personnel practices to produce a database for answering questions about social behavior in work organizations. This book presents the results of that survey. The study aimed to create a national database on organizations--based…
Development and validation of an instrument to assess perceived social influence on health behaviors
HOLT, CHERYL L.; CLARK, EDDIE M.; ROTH, DAVID L.; CROWTHER, MARTHA; KOHLER, CONNIE; FOUAD, MONA; FOUSHEE, RUSTY; LEE, PATRICIA A.; SOUTHWARD, PENNY L.
2012-01-01
Assessment of social influence on health behavior is often approached through a situational context. The current study adapted an existing, theory-based instrument from another content domain to assess Perceived Social Influence on Health Behavior (PSI-HB) among African Americans, using an individual difference approach. The adapted instrument was found to have high internal reliability (α = .81–.84) and acceptable testretest reliability (r = .68–.85). A measurement model revealed a three-factor structure and supported the theoretical underpinnings. Scores were predictive of health behaviors, particularly among women. Future research using the new instrument may have applied value assessing social influence in the context of health interventions. PMID:20522506
Opinion formation in a social network: The role of human activity
NASA Astrophysics Data System (ADS)
Grabowski, Andrzej
2009-03-01
The model of opinion formation in human population based on social impact theory is investigated numerically. On the basis of a database received from the on-line game server, we examine the structure of social network and human dynamics. We calculate the activity of individuals, i.e. the relative time devoted daily to interactions with others in the artificial society. We study the influence of correlation between the activity of an individual and its connectivity on the process of opinion formation. We find that such correlations have a significant influence on the temperature of the phase transition and the effect of the mass media, modeled as an external stimulation acting on the social network.
Social network extraction based on Web: 1. Related superficial methods
NASA Astrophysics Data System (ADS)
Khairuddin Matyuso Nasution, Mahyuddin
2018-01-01
Often the nature of something affects methods to resolve the related issues about it. Likewise, methods to extract social networks from the Web, but involve the structured data types differently. This paper reveals several methods of social network extraction from the same sources that is Web: the basic superficial method, the underlying superficial method, the description superficial method, and the related superficial methods. In complexity we derive the inequalities between methods and so are their computations. In this case, we find that different results from the same tools make the difference from the more complex to the simpler: Extraction of social network by involving co-occurrence is more complex than using occurrences.
Yang, Junyi; Tian, Xue; Wei, Dongtao; Liu, Huijuan; Zhang, Qinglin; Wang, Kangcheng; Chen, Qunlin; Qiu, Jiang
2016-06-01
Individual differences in self-monitoring, which are the capability to adjust behavior to adapt to social situations, influence a wide range of social behaviors. However, understanding of focal differences in brain structures related to individual self-monitoring is minimal, particularly when micro and macro structures are considered simultaneously. The present study investigates the relationship between self-monitoring and brain structure in a relatively large sample of young adults. Voxel-based morphometry (VBM) revealed a significant positive correlation between self-monitoring and gray matter volume in the dorsal cingulate anterior cortex (dACC), dorsal lateral prefrontal cortex (DLPFC), and bilateral ventral striatum (VS). Further analysis revealed a significant negative correlation between self-monitoring and white matter (WM) integrity, as indexed by fractional anisotropy (FA) in the anterior cingulum (ACG) bundle. Moreover, there was a significant positive correlation between self-monitoring and mean radius diffusion (RD). These results shed light on the structural neural basis of variation in self-monitoring.
Organizational Politics, Social Network, and Knowledge Management
NASA Astrophysics Data System (ADS)
Lee, Hyun Jung; Kang, Sora; Lee, Jongwon
This research identifies the social relationship and structure among members as well as organization’s political inclination, through which, it also identifies the current status of knowledge management. The result shows that the socio-technological factors (individual, knowledge and IT factors) affect knowledge transfer and the knowledge transfer influences performance and that the members’ relationship based on the political inclination of the organization has a major moderating effect on the above two relation.
A neural circuit covarying with social hierarchy in macaques.
Noonan, MaryAnn P; Sallet, Jerome; Mars, Rogier B; Neubert, Franz X; O'Reilly, Jill X; Andersson, Jesper L; Mitchell, Anna S; Bell, Andrew H; Miller, Karla L; Rushworth, Matthew F S
2014-09-01
Despite widespread interest in social dominance, little is known of its neural correlates in primates. We hypothesized that social status in primates might be related to individual variation in subcortical brain regions implicated in other aspects of social and emotional behavior in other mammals. To examine this possibility we used magnetic resonance imaging (MRI), which affords the taking of quantitative measurements noninvasively, both of brain structure and of brain function, across many regions simultaneously. We carried out a series of tests of structural and functional MRI (fMRI) data in 25 group-living macaques. First, a deformation-based morphometric (DBM) approach was used to show that gray matter in the amygdala, brainstem in the vicinity of the raphe nucleus, and reticular formation, hypothalamus, and septum/striatum of the left hemisphere was correlated with social status. Second, similar correlations were found in the same areas in the other hemisphere. Third, similar correlations were found in a second data set acquired several months later from a subset of the same animals. Fourth, the strength of coupling between fMRI-measured activity in the same areas was correlated with social status. The network of subcortical areas, however, had no relationship with the sizes of individuals' social networks, suggesting the areas had a simple and direct relationship with social status. By contrast a second circuit in cortex, comprising the midsuperior temporal sulcus and anterior and dorsal prefrontal cortex, covaried with both individuals' social statuses and the social network sizes they experienced. This cortical circuit may be linked to the social cognitive processes that are taxed by life in more complex social networks and that must also be used if an animal is to achieve a high social status.
A Neural Circuit Covarying with Social Hierarchy in Macaques
Neubert, Franz X.; O'Reilly, Jill X.; Andersson, Jesper L.; Mitchell, Anna S.; Bell, Andrew H.; Miller, Karla L.; Rushworth, Matthew F. S.
2014-01-01
Despite widespread interest in social dominance, little is known of its neural correlates in primates. We hypothesized that social status in primates might be related to individual variation in subcortical brain regions implicated in other aspects of social and emotional behavior in other mammals. To examine this possibility we used magnetic resonance imaging (MRI), which affords the taking of quantitative measurements noninvasively, both of brain structure and of brain function, across many regions simultaneously. We carried out a series of tests of structural and functional MRI (fMRI) data in 25 group-living macaques. First, a deformation-based morphometric (DBM) approach was used to show that gray matter in the amygdala, brainstem in the vicinity of the raphe nucleus, and reticular formation, hypothalamus, and septum/striatum of the left hemisphere was correlated with social status. Second, similar correlations were found in the same areas in the other hemisphere. Third, similar correlations were found in a second data set acquired several months later from a subset of the same animals. Fourth, the strength of coupling between fMRI-measured activity in the same areas was correlated with social status. The network of subcortical areas, however, had no relationship with the sizes of individuals' social networks, suggesting the areas had a simple and direct relationship with social status. By contrast a second circuit in cortex, comprising the midsuperior temporal sulcus and anterior and dorsal prefrontal cortex, covaried with both individuals' social statuses and the social network sizes they experienced. This cortical circuit may be linked to the social cognitive processes that are taxed by life in more complex social networks and that must also be used if an animal is to achieve a high social status. PMID:25180883
Face-to-Face or Not-to-Face: A Technology Preference for Communication
Darmawan, Bobby; Mohamed Ariffin, Mohd Yahya
2014-01-01
Abstract This study employed the Model of Technology Preference (MTP) to explain the relationship of the variables as the antecedents of behavioral intention to adopt a social networking site (SNS) for communication. Self-administered questionnaires were distributed to SNS account users using paper-based and web-based surveys that led to 514 valid responses. The data were analyzed using structural equation modeling (SEM). The results show that two out of three attributes of the attribute-based preference (ATRP) affect attitude-based preference (ATTP). The data support the hypotheses that perceived enjoyment and social presence are predictors of ATTP. In this study, the findings further indicated that ATTP has no relationship with the behavioral intention of using SNS, but it has a relationship with the attitude of using SNS. SNS development should provide features that ensure enjoyment and social presence for users to communicate instead of using the traditional face-to-face method of communication. PMID:25405782
Perkins, Jessica M; Subramanian, S V; Christakis, Nicholas A
2015-01-01
In low- and middle-income countries (LMICs), naturally occurring social networks may be particularly vital to health outcomes as extended webs of social ties often are the principal source of various resources. Understanding how social network structure, and influential individuals within the network, may amplify the effects of interventions in LMICs, by creating, for example, cascade effects to non-targeted participants, presents an opportunity to improve the efficiency and effectiveness of public health interventions in such settings. We conducted a systematic review of PubMed, Econlit, Sociological Abstracts, and PsycINFO to identify a sample of 17 sociocentric network papers (arising from 10 studies) that specifically examined health issues in LMICs. We also separately selected to review 19 sociocentric network papers (arising from 10 other studies) on development topics related to wellbeing in LMICs. First, to provide a methodological resource, we discuss the sociocentric network study designs employed in the selected papers, and then provide a catalog of 105 name generator questions used to measure social ties across all the LMIC network papers (including both ego- and sociocentric network papers) cited in this review. Second, we show that network composition, individual network centrality, and network structure are associated with important health behaviors and health and development outcomes in different contexts across multiple levels of analysis and across distinct network types. Lastly, we highlight the opportunities for health researchers and practitioners in LMICs to 1) design effective studies and interventions in LMICs that account for the sociocentric network positions of certain individuals and overall network structure, 2) measure the spread of outcomes or intervention externalities, and 3) enhance the effectiveness and efficiency of aid based on knowledge of social structure. In summary, human health and wellbeing are connected through complex webs of dynamic social relationships. Harnessing such information may be especially important in contexts where resources are limited and people depend on their direct and indirect connections for support. Copyright © 2014 Elsevier Ltd. All rights reserved.
Perkins, Jessica M; Subramanian, S V; Christakis, Nicholas A
2015-01-01
In low- and middle-income countries (LMICs), naturally occurring social networks may be particularly vital to health outcomes as extended webs of social ties often are the principal source of various resources. Understanding how social network structure, and influential individuals within the network, may amplify the effects of interventions in LMICs, by creating, for example, cascade effects to non-targeted participants, presents an opportunity to improve the efficiency and effectiveness of public health interventions in such settings. We conducted a systematic review of PubMed, Econlit, Sociological Abstracts, and PsycINFO to identify a sample of 17 sociocentric network papers (arising from 10 studies) that specifically examined health issues in LMICs. We also separately selected to review 19 sociocentric network papers (arising from 10 other studies) on development topics related to wellbeing in LMICs. First, to provide a methodological resource, we discuss the sociocentric network study designs employed in the selected papers, and then provide a catalog of 105 name generator questions used to measure social ties across all the LMIC network papers (including both ego- and sociocentric network papers) cited in this review. Second, we show that network composition, individual network centrality, and network structure are associated with important health behaviors and health and development outcomes in different contexts across multiple levels of analysis and across distinct network types. Lastly, we highlight the opportunities for health researchers and practitioners in LMICs to 1) design effective studies and interventions in LMICs that account for the sociocentric network positions of certain individuals and overall network structure, 2) measure the spread of outcomes or intervention externalities, and 3) enhance the effectiveness and efficiency of aid based on knowledge of social structure. In summary, human health and wellbeing are connected through complex webs of dynamic social relationships. Harnessing such information may be especially important in contexts where resources are limited and people depend on their direct and indirect connections for support. PMID:25442969
Ashcroft, Rachelle; McMillan, Colleen; Ambrose-Miller, Wayne; McKee, Ryan; Brown, Judith Belle
2018-05-01
Primary health care systems are increasingly integrating interprofessional team-based approaches to care delivery. As members of these interprofessional primary health care teams, it is important for social workers to explore our experiences of integration into these newly emerging teams to help strengthen patient care. Despite the expansion of social work within primary health care settings, few studies have examined the integration of social work's role into this expanding area of the health care system. A survey was conducted with Canadian social work practitioners who were employed within Family Health Teams (FHTs), an interprofessional model of primary health care in Ontario emerging from a period of health care reform. One hundred and twenty-eight (N = 128) respondents completed the online survey. Key barriers to social work integration in FHTs included difficulties associated with a medical model environment, confusion about social work role, and organizational barriers. Facilitators for integration of social work in FHTs included adequate education and competencies, collaborative engagement, and organizational structures.
Effects of Living Alone on Social Capital and Health Among Older Adults in China.
Xu, Qingwen; Norstrand, Julie A; Du, Yan
2015-12-01
Social capital has been connected with positive health outcomes across countries, including China. Given the rise in the number of seniors living alone, there is a need to examine the health benefits of social capital, accounting for living arrangements. Data from the 2005 Chinese General Social Survey were used to test research hypotheses. Controlling for demographics, elders living alone possessed similar level of social capital compared with elders living with others. While bonding and linking social capital were significant factors in urban areas and linking social capital was a significant factor in rural areas, the relationship between living alone and health did not differ based on the level of social capital possession. When the traditional intergenerational living arrangement has not been a valid option for many older adults in China, seeking new way of family caring, and developing appropriate social and institutional structures to assist elders living alone, becomes critical. © The Author(s) 2016.
Identity in agent-based models : modeling dynamic multiscale social processes.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ozik, J.; Sallach, D. L.; Macal, C. M.
Identity-related issues play central roles in many current events, including those involving factional politics, sectarianism, and tribal conflicts. Two popular models from the computational-social-science (CSS) literature - the Threat Anticipation Program and SharedID models - incorporate notions of identity (individual and collective) and processes of identity formation. A multiscale conceptual framework that extends some ideas presented in these models and draws other capabilities from the broader CSS literature is useful in modeling the formation of political identities. The dynamic, multiscale processes that constitute and transform social identities can be mapped to expressive structures of the framework
Social cognitive mediators of parent-child sexual communication.
Evans, W Douglas; Blitstein, Jonathan L; Davis, Kevin C
2011-07-01
To test a social cognitive behavior change model and identify mediators of the effects of the Parents Speak Up National Campaign (PSUNC) on parent-child sexual communication. Investigators used 5 waves of data from an online randomized controlled trial. Latent variables were developed based on item response theory and confirmatory factor analysis. Structural equation modeling was used to test mediation. Outcome expectations mediated effects of social norms and self-efficacy on sexual communication. Other hypothesized mediators were not confirmed. Interventions to promote parent-child sexual communication should target outcome expectations. Future research should investigate parents' health information seeking.
An Algorithm for Critical Nodes Problem in Social Networks Based on Owen Value
Wang, Xue-Guang
2014-01-01
Discovering critical nodes in social networks has many important applications. For finding out the critical nodes and considering the widespread community structure in social networks, we obtain each node's marginal contribution by Owen value. And then we can give a method for the solution of the critical node problem. We validate the feasibility and effectiveness of our method on two synthetic datasets and six real datasets. At the same time, the result obtained by using our method to analyze the terrorist network is in line with the actual situation. PMID:25006592
Social Cohesion, Structural Holes, and a Tale of Two Measures
NASA Astrophysics Data System (ADS)
Latora, V.; Nicosia, V.; Panzarasa, P.
2013-05-01
In the social sciences, the debate over the structural foundations of social capital has long vacillated between two positions on the relative benefits associated with two types of social structures: closed structures, rich in third-party relationships, and open structures, rich in structural holes and brokerage opportunities. In this paper, we engage with this debate by focusing on the measures typically used for formalising the two conceptions of social capital: clustering and effective size. We show that these two measures are simply two sides of the same coin, as they can be expressed one in terms of the other through a simple functional relation. Building on this relation, we then attempt to reconcile closed and open structures by proposing a new measure, Simmelian brokerage, that captures opportunities of brokerage between otherwise disconnected cohesive groups of contacts. Implications of our findings for research on social capital and complex networks are discussed.
Harling, Guy; Morris, Katherine Ann; Manderson, Lenore; Perkins, Jessica M; Berkman, Lisa F
2018-03-26
Drawing on the "Health and Aging in Africa: A Longitudinal Study of an INDEPTH community in South Africa" (HAALSI) baseline survey, we present data on older adults' social networks and receipt of social support in rural South Africa. We examine how age and gender differences in social network characteristics matched with patterns predicted by theories of choice- and constraint-based network contraction in older adults. We used regression analysis on data for 5,059 South African adults aged 40 and older. Older respondents reported fewer important social contacts and less frequent communication than their middle-aged peers, largely due to fewer nonkin connections. Network size difference between older and younger respondents was greater for women than for men. These gender and age differences were explicable by much higher levels of widowhood among older women compared to younger women and older men. There was no evidence for employment-related network contraction or selective retention of emotionally supportive ties. Marriage-related structural constraints impacted on older women's social networks in rural South Africa, but did not explain choice-based network contraction. These findings suggest that many older women in rural Africa, a growing population, may have an unmet need for social support.
Ketler, S K
2000-06-01
This article compares the social settings and teaching organization of two differently structured childbirth education courses in Cagliari, Italy, in order to understand how social processes and contexts work to negotiate authoritative knowledge. Although the explicit goal of both courses was to transmit biomedical knowledge, knowledge based in women's experience nonetheless dominated some course sessions. Thus, I examine the social processes and interactions that enabled women's experiential knowledge to dominate discussions and subsequently share in the authority of biomedical knowledge in some situations. Because few existing studies do so, this article also addresses a gap in our current understanding by exploring not only how experiential knowledge comes to share authority with biomedical knowledge, but also, why it is important that it does. Focusing on the efficacy of differently structured courses, this article informs the planning of future childbirth education courses in similar settings.
[The work of the intensive care nurse: a study on the social representations structure].
Silva, Iranete Almeida Sousa; da Cruz, Enêde Andrade
2008-09-01
This study aims at characterizing the social representations of the nurse in the intensive care unit (ICU) by identifying the central core and the peripheral system. It was carried out in five ICUs from both public and philanthropic teaching, research and assistance hospitals in Salvador (Bahia, Brazil). Data were gathered from ninety nurses by means of free evocation from the phrase: nurse's work in an ICU and then processed with the EVOC software. Analysis was performed by building a four-digit chart based on the structural approach to the theory of social representations. Results point out stress, responsibility, integral care and gratification as the core elements. The peripheral system comprised personal and professional attitudes deemed necessary to perform the work. Therefore, it could be concluded that stress and responsible work are relieved by the gratifying feeling of providing integral care, which demands a range of personal and professional attitudes.
Risk and Emotion Among Healthy Volunteers in Clinical Trials
Cottingham, Marci D.; Fisher, Jill A.
2017-01-01
Theorized as objective or constructed, risk is recognized as unequally distributed across social hierarchies. Yet the process by which social forces shape risk and risk emotions remains unknown. The pharmaceutical industry depends on healthy individuals to voluntarily test early-stage, investigational drugs in exchange for financial compensation. Emblematic of risk in late modernity, Phase I testing is a rich site for examining how class and race shape configurations of emotion and risk. Using interview data from 178 healthy trial participants, this article examines emotion and risk as mutually constituting processes linked to biographical context and social structure. Biographical events like economic insecurity and incarceration influence how risk is felt by providing comparative experiences of felt risk and felt benefits. Such events, in turn, are structured by class-based and racial inequalities, linking class and race positions to primary emotional experiences of risk. PMID:28867852
Can the behavioral sciences self-correct? A social epistemic study.
Romero, Felipe
2016-12-01
Advocates of the self-corrective thesis argue that scientific method will refute false theories and find closer approximations to the truth in the long run. I discuss a contemporary interpretation of this thesis in terms of frequentist statistics in the context of the behavioral sciences. First, I identify experimental replications and systematic aggregation of evidence (meta-analysis) as the self-corrective mechanism. Then, I present a computer simulation study of scientific communities that implement this mechanism to argue that frequentist statistics may converge upon a correct estimate or not depending on the social structure of the community that uses it. Based on this study, I argue that methodological explanations of the "replicability crisis" in psychology are limited and propose an alternative explanation in terms of biases. Finally, I conclude suggesting that scientific self-correction should be understood as an interaction effect between inference methods and social structures. Copyright © 2016 Elsevier Ltd. All rights reserved.
Social imagery, tobacco independence, and the truthsm campaign.
Evans, W Douglas; Price, Simani; Blahut, Steven; Hersey, James; Niederdeppe, Jeffrey; Ray, Sarah
2004-01-01
This study investigated relationships among exposure to the truthsm campaign, differences in social imagery about not smoking and related measures, and smoking behavior. We asked, "How does truthsm work? Through what psychological mechanisms does it affect smoking behavior?" We developed a framework to explain how receptivity to truthsm ads might influence youth cognitive states and subsequent effects on progression to established smoking. The main hypotheses were that social imagery about not smoking and related beliefs and attitudes about tobacco use mediate the relationship between truthsm exposure and smoking status. The study was based on data from the Legacy Media Tracking Survey (LMTS), waves I-III, which were conducted at three time points from 1999 through 2001. A nationally representative sample of 20,058 respondents aged 12-24 from the three time points was used in the analysis. We developed a structural equation model (SEM) based on constructs drawn from the LMTS. We investigated the model and tested our hypotheses about the psychological and behavioral effects of campaign exposure. We tested our constructs and model using a two-stage structural equation modeling approach. We first conducted a confirmatory factor analysis (CFA) to test the measurement model. Our model achieved satisfactory fit, and we conducted the SEM to test our hypotheses. We found that social imagery and perceived tobacco independence mediate the relationship between truthsm exposure and smoking status. We found meaningful differences between paths for segmented samples based on age, gender, and race/ethnicity subgroups and over time. The truthsm campaign operates through individuals'sense of tobacco independence and social imagery about not smoking. This study indicates that the campaign's strategy has worked as predicted and represents an effective model for social marketing to change youth risk behaviors. Future studies should further investigate subgroup differences in campaign reactions and utilize contextual information about the truthsm campaign's evolution to explain changes in reactions over time.
Evaluating the benefits of collaboration in simulation games: the case of health care.
Leung, Ricky
2014-01-28
Organizations have used simulation games for health promotion and communication. To evaluate how simulation games can foster collaboration among stakeholders, this paper develops two social network measures. The paper aims to initiate two specific measures that facilitate organizations and researchers to evaluate the effectiveness of Web-based simulation games in fostering collaboration. The two measures are: (1) network density and (2) network diversity. They measure the level of connectedness and communication evenness within social networks. To illustrate how these measures may be used, a hypothetical game about health policy is outlined. Web-based games can serve as an effective platform to engage stakeholders because interaction among them is quite convenient. Yet, systematic evaluation and planning are necessary to realize the benefits of these games. The paper suggests directions for testing how the social network dimension of Web-based games can augment individual-level benefits that stakeholders can obtain from playing simulation games. While this paper focuses on measuring the structural properties of social networks in Web-based games, further research should focus more attention on the appropriateness of game contents. In addition, empirical research should cover different geographical areas, such as East Asian countries where video games are very popular.
A dynamic social systems model for considering structural factors in HIV prevention and detection
Latkin, Carl; Weeks, Margaret; Glasman, Laura; Galletly, Carol; Albarracin, Dolores
2010-01-01
We present a model for HIV-related behaviors that emphasizes the dynamic and social nature of the structural factors that influence HIV prevention and detection. Key structural dimensions of the model include resources, science and technology, formal social control, informal social influences and control, social interconnectedness, and settings. These six dimensions can be conceptualized on macro, meso, and micro levels. Given the inherent complexity of structural factors and their interrelatedness, HIV prevention interventions may focus on different levels and dimensions. We employ a systems perspective to describe the interconnected and dynamic processes of change among social systems and their components. The topics of HIV testing and safer injection facilities are analyzed using this structural framework. Finally, we discuss methodological issues in the development and evaluation of structural interventions for HIV prevention and detection. PMID:20838871
Comparing short forms of the Social Interaction Anxiety Scale and the Social Phobia Scale.
Carleton, R Nicholas; Thibodeau, Michel A; Weeks, Justin W; Teale Sapach, Michelle J N; McEvoy, Peter M; Horswill, Samantha C; Heimberg, Richard G
2014-12-01
The Social Interaction Anxiety Scale (SIAS) and the Social Phobia Scale (SPS; Mattick & Clarke, 1998) are companion scales developed to measure anxiety in social interaction and performance situations, respectively. The measures have strong discriminant and convergent validity; however, their factor structures remain debated, and furthermore, the combined administration length (i.e., 39 items) can be prohibitive for some settings. There have been 4 attempts to assess the factor structures of the scales and reduce the item content: the 14-item Social Interaction Phobia Scale (SIPS; Carleton et al., 2009), the 12-item SIAS-6/SPS-6 (Peters, Sunderland, Andrews, Rapee, & Mattick, 2012), the 21-item abbreviated SIAS/SPS (ASIAS/ASPS; Kupper & Denollet, 2012), and the 12-item Readability SIAS and SPS (RSIAS/RSPS; Fergus, Valentiner, McGrath, Gier-Lonsway, & Kim, 2012). The current study compared the short forms on (a) factor structure, (b) ability to distinguish between clinical and non-clinical populations, (c) sensitivity to change following therapy, and (d) convergent validity with related measures. Participants included 3,607 undergraduate students (55% women) and 283 patients with social anxiety disorder (43% women). Results of confirmatory factor analyses, sensitivity analyses, and correlation analyses support the robust utility of items in the SIPS and the SPS-6 and SIAS-6 relative to the other short forms; furthermore, the SIPS and the SPS-6 and SIAS-6 were also supported by convergent validity analyses within the undergraduate sample. The RSIAS/RSPS and the ASIAS/ASPS were least supported, based on the current results and the principle of parsimony. Accordingly, researchers and clinicians should consider carefully which of the short forms will best suit their needs. (c) 2014 APA, all rights reserved.
Gender Variance and Sexual Orientation Among Male Spirit Mediums in Myanmar.
Coleman, Eli; Allen, Mariette Pathy; Ford, Jessie V
2018-05-01
This article describes the gender identity, gender expression, and sexual orientation of male spirit mediums in Myanmar. Our analysis is based on ethnographic work, field observation, and 10 semi-structured interviews. These observations were conducted from 2010 to 2015, mostly in Mandalay, with some fieldwork in Yangon and Bagan. The focus of this investigation was specifically on achout (gender variant individuals) who were spirit mediums (nat kadaw). Semi-structured interviews explored the ways that participants understood their gender identity, gender expression, and sexuality in relation to their work as spirit mediums and broader social life. Myanmar remains quite a homophobic and transphobic culture but is undergoing rapid economic and social change. Therefore, it provides an interesting context to study how safe spaces are produced for sexual/gender minorities amidst broader social change. We find that, through the animistic belief structure, there is a growing space for gender nonconforming people, gender variant, and same-sex-oriented individuals (achout) to neutralize their stigmatized status and attain a level of respect and economic advantage. Their ability to become nat kadaw (mediums of spirits) mitigates or trumps their stigmatized status.
Self-similarity analysis of eubacteria genome based on weighted graph.
Qi, Zhao-Hui; Li, Ling; Zhang, Zhi-Meng; Qi, Xiao-Qin
2011-07-07
We introduce a weighted graph model to investigate the self-similarity characteristics of eubacteria genomes. The regular treating in similarity comparison about genome is to discover the evolution distance among different genomes. Few people focus their attention on the overall statistical characteristics of each gene compared with other genes in the same genome. In our model, each genome is attributed to a weighted graph, whose topology describes the similarity relationship among genes in the same genome. Based on the related weighted graph theory, we extract some quantified statistical variables from the topology, and give the distribution of some variables derived from the largest social structure in the topology. The 23 eubacteria recently studied by Sorimachi and Okayasu are markedly classified into two different groups by their double logarithmic point-plots describing the similarity relationship among genes of the largest social structure in genome. The results show that the proposed model may provide us with some new sights to understand the structures and evolution patterns determined from the complete genomes. Copyright © 2011 Elsevier Ltd. All rights reserved.
Personalized Biobehavioral HIV Prevention for Women and Adolescent Girls.
Brawner, Bridgette M; Teitelman, Anne M; Bevilacqua, Amanda W; Jemmott, Loretta Sweet
2013-09-01
Women and adolescent girls bear a significant burden of the global HIV pandemic. Both behavioral and biomedical prevention approaches have been shown to be effective. In order to foster the most effective combination HIV-prevention approaches for women and girls, it is imperative to understand the unique biological, social, and structural considerations that increase vulnerability to acquiring HIV within this population. The purpose of this article is to propose novel ideas for personalized biobehavioral HIV prevention for women and adolescent girls. The central argument is that we must transcend unilevel solutions for HIV prevention toward comprehensive, multilevel combination HIV prevention packages to actualize personalized biobehavioral HIV prevention. Our hope is to foster transnational dialogue among researchers, practitioners, educators, and policy makers toward the actualization of the proposed recommendations. We present a commentary organized to review biological, social, and structural factors that increase vulnerability to HIV acquisition among women and adolescent girls. The overview is followed by recommendations to curb HIV rates in the target population in a sustainable manner. The physiology of the lower female reproductive system biologically increases HIV risk among women and girls. Social (eg, intimate partner violence) and structural (eg, gender inequality) factors exacerbate this risk by increasing the likelihood of viral exposure. Our recommendations for personalized biobehavioral HIV prevention are to (1) create innovative mechanisms for personalized HIV risk-reduction assessments; (2) develop mathematical models of local epidemics; (3) prepare personalized, evidence-based combination HIV risk-reduction packages; (4) structure gender equity into society; and (5) eliminate violence (both physical and structural) against women and girls. Generalized programs and interventions may not have universal, transnational, and crosscultural implications. Personalized biobehavioral strategies are needed to comprehensively address vulnerabilities at biological, social, and structural levels.
Personalized Biobehavioral HIV Prevention for Women and Adolescent Girls
Teitelman, Anne M.; Bevilacqua, Amanda W.; Jemmott, Loretta Sweet
2013-01-01
Background: Women and adolescent girls bear a significant burden of the global HIV pandemic. Both behavioral and biomedical prevention approaches have been shown to be effective. In order to foster the most effective combination HIV-prevention approaches for women and girls, it is imperative to understand the unique biological, social, and structural considerations that increase vulnerability to acquiring HIV within this population. Primary Study Objective: The purpose of this article is to propose novel ideas for personalized biobehavioral HIV prevention for women and adolescent girls. The central argument is that we must transcend unilevel solutions for HIV prevention toward comprehensive, multilevel combination HIV prevention packages to actualize personalized biobehavioral HIV prevention. Our hope is to foster transnational dialogue among researchers, practitioners, educators, and policy makers toward the actualization of the proposed recommendations. Methods: We present a commentary organized to review biological, social, and structural factors that increase vulnerability to HIV acquisition among women and adolescent girls. The overview is followed by recommendations to curb HIV rates in the target population in a sustainable manner. Results: The physiology of the lower female reproductive system biologically increases HIV risk among women and girls. Social (eg, intimate partner violence) and structural (eg, gender inequality) factors exacerbate this risk by increasing the likelihood of viral exposure. Our recommendations for personalized biobehavioral HIV prevention are to (1) create innovative mechanisms for personalized HIV risk—reduction assessments; (2) develop mathematical models of local epidemics; (3) prepare personalized, evidence-based combination HIV risk—reduction packages; (4) structure gender equity into society; and (5) eliminate violence (both physical and structural) against women and girls. Conclusions: Generalized programs and interventions may not have universal, transnational, and crosscultural implications. Personalized biobehavioral strategies are needed to comprehensively address vulnerabilities at biological, social, and structural levels. PMID:24416702
Social systems and life-history characteristics of mongooses.
Schneider, Tilman C; Kappeler, Peter M
2014-02-01
The diversity of extant carnivores provides valuable opportunities for comparative research to illuminate general patterns of mammalian social evolution. Recent field studies on mongooses (Herpestidae), in particular, have generated detailed behavioural and demographic data allowing tests of assumptions and predictions of theories of social evolution. The first studies of the social systems of their closest relatives, the Malagasy Eupleridae, also have been initiated. The literature on mongooses was last reviewed over 25 years ago. In this review, we summarise the current state of knowledge on the social organisation, mating systems and social structure (especially competition and cooperation) of the two mongoose families. Our second aim is to evaluate the contributions of these studies to a better understanding of mammalian social evolution in general. Based on published reports or anecdotal information, we can classify 16 of the 34 species of Herpestidae as solitary and nine as group-living; there are insufficient data available for the remainder. There is a strong phylogenetic signal of sociality with permanent complex groups being limited to the genera Crossarchus, Helogale, Liberiictis, Mungos, and Suricata. Our review also indicates that studies of solitary and social mongooses have been conducted within different theoretical frameworks: whereas solitary species and transitions to gregariousness have been mainly investigated in relation to ecological determinants, the study of social patterns of highly social mongooses has instead been based on reproductive skew theory. In some group-living species, group size and composition were found to determine reproductive competition and cooperative breeding through group augmentation. Infanticide risk and inbreeding avoidance connect social organisation and social structure with reproductive tactics and life histories, but their specific impact on mongoose sociality is still difficult to evaluate. However, the level of reproductive skew in social mongooses is not only determined by the costs and benefits of suppressing each other's breeding attempts, but also influenced by resource abundance. Thus, dispersal, as a consequence of eviction, is also linked to the costs of co-breeding in the context of food competition. By linking these facts, we show that the socio-ecological model and reproductive skew theory share some determinants of social patterns. We also conclude that due to their long bio-geographical isolation and divergent selection pressures, future studies of the social systems of the Eupleridae will be of great value for the elucidation of general patterns in carnivore social evolution. © 2013 The Authors. Biological Reviews © 2013 Cambridge Philosophical Society.
McDonald, Skye; Dalton, Katie I; Rushby, Jacqueline A; Landin-Romero, Ramon
2018-06-14
Adults with severe traumatic brain injury (TBI) often suffer poor social cognition. Social cognition is complex, requiring verbal, non-verbal, auditory, visual and affective input and integration. While damage to focal temporal and frontal areas has been implicated in disorders of social cognition after TBI, the role of white matter pathology has not been examined. In this study 17 adults with chronic, severe TBI and 17 control participants underwent structural MRI scans and Diffusion Tensor Imaging. The Awareness of Social Inference Test (TASIT) was used to assess their ability to understand emotional states, thoughts, intentions and conversational meaning in everyday exchanges. Track-based spatial statistics were used to perform voxelwise analysis of Fractional Anisotropy (FA) and Mean Diffusivity (MD) of white matter tracts associated with poor social cognitive performance. FA suggested a wide range of tracts were implicated in poor TASIT performance including tracts known to mediate, auditory localisation (planum temporale) communication between nonverbal and verbal processes in general (corpus callosum) and in memory in particular (fornix) as well as tracts and structures associated with semantics and verbal recall (left temporal lobe and hippocampus), multimodal processing and integration (thalamus, external capsule, cerebellum) and with social cognition (orbitofrontal cortex, frontopolar cortex, right temporal lobe). Even when controlling for non-social cognition, the corpus callosum, fornix, bilateral thalamus, right external capsule and right temporal lobe remained significant contributors to social cognitive performance. This study highlights the importance of loss of white matter connectivity in producing complex social information processing deficits after TBI.
Westerman, Michiel; Teunissen, Pim W; Fokkema, Joanne P I; van der Vleuten, Cees P M; Scherpbier, Albert J J A; Siegert, Carl E H; Scheele, Fedde
2013-04-01
Insight into the transition from specialist registrar to hospital consultant is needed to better align specialty training with starting as a consultant and to facilitate this transition. This study investigates whether preparedness regarding medical and generic competencies, perceived intensity, and social support are associated with burnout among new consultants. A population-based study among all 2643 new consultants in the Netherlands (all specialties) was conducted in June 2010. A questionnaire covering preparedness for practice, intensity of the transition, social support, and burnout was used. Structural equation modelling was used for statistical analysis. Data from a third of the population were available (32% n = 840) (43% male/57% female). Preparation in generic competencies received lower ratings than in medical competencies. A total of 10% met the criteria for burnout and 18% scored high on the emotional exhaustion subscale. Perceived lack of preparation in generic competencies correlated with burnout (r = 0.15, p < 0.001). No such relation was found for medical competencies. Furthermore, social support protected against burnout. These findings illustrate the relevance of generic competencies for new hospital consultants. Furthermore, social support facilitates this intense and stressful stage within the medical career.
Information content and acoustic structure of male African elephant social rumbles
Stoeger, Angela S.; Baotic, Anton
2016-01-01
Until recently, the prevailing theory about male African elephants (Loxodonta africana) was that, once adult and sexually mature, males are solitary and targeted only at finding estrous females. While this is true during the state of ‘musth’ (a condition characterized by aggressive behavior and elevated androgen levels), ‘non-musth’ males exhibit a social system seemingly based on companionship, dominance and established hierarchies. Research on elephant vocal communication has so far focused on females, and very little is known about the acoustic structure and the information content of male vocalizations. Using the source and filter theory approach, we analyzed social rumbles of 10 male African elephants. Our results reveal that male rumbles encode information about individuality and maturity (age and size), with formant frequencies and absolute fundamental frequency values having the most informative power. This first comprehensive study on male elephant vocalizations gives important indications on their potential functional relevance for male-male and male-female communication. Our results suggest that, similar to the highly social females, future research on male elephant vocal behavior will reveal a complex communication system in which social knowledge, companionship, hierarchy, reproductive competition and the need to communicate over long distances play key roles. PMID:27273586
Baheiraei, Azam; Bakouei, Fatemeh; Bakouei, Sareh; Eskandari, Narges; Ahmari Tehran, Hoda
2015-07-19
Recognition of the factors related to women's health is necessary. Evidence is available that the social structure including social capital plays an important role in the shaping people's health. The aim of the current study was to investigate the association between self-rated health and social capital in women of reproductive age. This study is a population-based cross-sectional survey on 770 women of reproductive age, residing in any one of the 22 municipality areas across Tehran (capital of Iran) with the multi stage sampling technique. Self-rated health (Dependent variable), social capital (Independent variable) and covariates were studied. Analysis of data was done by one-way ANOVA test and multiple linear regressions. Depending on logistic regression analyses, the significant associations were found between self-rated health and age, educational level, crowding index, sufficiency of income for expenses and social cohesion. Data show that women with higher score in social cohesion as an outcome dimension of social capital have better self-rated health (PV = 0.001). Given the findings of this study, the dimensions of social capital manifestations (groups and networks, trust and solidarity, collective action and cooperation) can potentially lead to the dimensions of social capital outcomes (social cohesion and inclusion, and empowerment and political action). Following that, social cohesion as a dimension of social capital outcomes has positively relationship with self- rated health after controlling covariates. Therefore, it is required to focus on the social capital role on health promotion and health policies.
Multivariate analysis of fears in dental phobic patients according to a reduced FSS-II scale.
Hakeberg, M; Gustafsson, J E; Berggren, U; Carlsson, S G
1995-10-01
This study analyzed and assessed dimensions of a questionnaire developed to measure general fears and phobias. A previous factor analysis among 109 dental phobics had revealed a five-factor structure with 22 items and an explained total variance of 54%. The present study analyzed the same material using a multivariate statistical procedure (LISREL) to reveal structural latent variables. The LISREL analysis, based on the correlation matrix, yielded a chi-square of 216.6 with 195 degrees of freedom (P = 0.138) and showed a model with seven latent variables. One was a general fear factor correlated to all 22 items. The other six factors concerned "Illness & Death" (5 items), "Failures & Embarrassment" (5 items), "Social situations" (5 items), "Physical injuries" (4 items), "Animals & Natural phenomena" (4 items). One item (opposite sex) was included in both "Failures & Embarrassment" and "Social situations". The last factor, "Social interaction", combined all the items in "Failures & Embarrassment" and "Social situations" (9 items). In conclusion, this multivariate statistical analysis (LISREL) revealed and confirmed a factor structure similar to our previous study, but added two important dimensions not shown with a traditional factor analysis. This reduced FSS-II version measures general fears and phobias and may be used on a routine clinical basis as well as in dental phobia research.
A structural model of health behavior modification among patients with cardiovascular disease.
Goong, Hwasoo; Ryu, Seungmi; Xu, Lijuan
2016-02-01
The purpose of the study was to test a structural equation model in which social support, health beliefs, and stage of change predict the health behaviors of patients with cardiovascular disease. A cross-sectional correlational design was used. Using convenience sampling, a survey about social support, health belief, stage of change, and health behavior was completed by 314 adults with cardiovascular disease from outpatient clinics in 2 university hospitals in Korea. Data were analyzed using a structural equation model with the Analysis of Moment program. The participants were aged 53.44±13.19 years (mean±SD), and about 64% of them were male. The proposed model fit the data from the study well, explaining 19% and 60% of the variances in the stage of change and health behavior, respectively. The findings indicate that the performance of health behavior modification among the patients with cardiovascular disease can be explained by social support, health belief, and stage of change based on a health-belief and stage-of-change model. Further studies are warranted to confirm the efficacy of health-promoting strategies in initiating and maintaining the performance of health behaviors by providing social support from family and medical staff and enhancing health belief. Copyright © 2015 Elsevier Inc. All rights reserved.
Keenan, Katherine; Saburova, Lyudmila; Bobrova, Natalia; Elbourne, Diana; Ashwin, Sarah; Leon, David A
2015-01-01
The massive fluctuations occurring in Russian alcohol-related mortality since the mid-1980s cannot be seen outside of the context of great social and economic change. There is a dearth of qualitative studies about Russian male drinking and especially needed are those that address social processes and individual changes in drinking. Conducted as part of a longitudinal study on men's alcohol consumption in Izhevsk, this qualitative study uses 25 semi-structured biographical interviews with men aged 33-60 years to explore life course variation in drinking. The dominant pattern was decreasing binge and frequent drinking as men reached middle age which was precipitated by family building, reductions in drinking with work colleagues, and health concerns. A minority of men described chaotic drinking histories with periods of abstinence and heavy drinking. The results highlight the importance of the blue-collar work environment for conditioning male heavy drinking in young adulthood through a variety of social, normative and structural mechanisms. Post-Soviet changes had a structural influence on the propensity for workplace drinking but the important social function of male drinking sessions remained. Bonding with workmates through heavy drinking was seen as an unavoidable and essential part of young men's social life. With age peer pressure to drink decreased and the need to perform the role of responsible breadwinner put different behavioural demands on men. For some resisting social pressure to drink became an important site of self-determination and a mark of masculine maturity. Over the lifetime the place where masculine identity was asserted shifted from the workplace to the home, which commonly resulted in a reduction in drinking. We contribute to existing theories of Russian male drinking by showing that the performance of age-related social roles influences Russian men's drinking patterns, drinking contexts and their attitudes. Further research should be conducted investigating drinking trajectories in Russian men.
Keenan, Katherine; Saburova, Lyudmila; Bobrova, Natalia; Elbourne, Diana; Ashwin, Sarah; Leon, David A.
2015-01-01
The massive fluctuations occurring in Russian alcohol-related mortality since the mid-1980s cannot be seen outside of the context of great social and economic change. There is a dearth of qualitative studies about Russian male drinking and especially needed are those that address social processes and individual changes in drinking. Conducted as part of a longitudinal study on men’s alcohol consumption in Izhevsk, this qualitative study uses 25 semi-structured biographical interviews with men aged 33–60 years to explore life course variation in drinking. The dominant pattern was decreasing binge and frequent drinking as men reached middle age which was precipitated by family building, reductions in drinking with work colleagues, and health concerns. A minority of men described chaotic drinking histories with periods of abstinence and heavy drinking. The results highlight the importance of the blue-collar work environment for conditioning male heavy drinking in young adulthood through a variety of social, normative and structural mechanisms. Post-Soviet changes had a structural influence on the propensity for workplace drinking but the important social function of male drinking sessions remained. Bonding with workmates through heavy drinking was seen as an unavoidable and essential part of young men’s social life. With age peer pressure to drink decreased and the need to perform the role of responsible breadwinner put different behavioural demands on men. For some resisting social pressure to drink became an important site of self-determination and a mark of masculine maturity. Over the lifetime the place where masculine identity was asserted shifted from the workplace to the home, which commonly resulted in a reduction in drinking. We contribute to existing theories of Russian male drinking by showing that the performance of age-related social roles influences Russian men’s drinking patterns, drinking contexts and their attitudes. Further research should be conducted investigating drinking trajectories in Russian men. PMID:26575847
The politics of relative deprivation: A transdisciplinary social justice perspective.
Fu, Mengzhu; Exeter, Daniel J; Anderson, Anneka
2015-05-01
Relative deprivation was defined by Townsend (1987, p. 125) as "a state of observable and demonstrable disadvantage, relative to the local community or the wider society or nation to which an individual, family or group belongs". This definition is widely used within social and health sciences to identify, measure, and explain forms of inequality in human societies based on material and social conditions. From a multi-disciplinary social science perspective, we conducted a systematic literature review of published material in English through online database searches and books since 1966. We review the concept and measurement of relative 'deprivation' focussing on area-based deprivation in relation to inequities in health and social outcomes. This paper presents a perspective based in Aotearoa/New Zealand where colonisation has shaped the contours of racialised health inequities and current applications and understandings of 'deprivation'. We provide a critique of Townsend's concept of deprivation and area-based deprivation through a critical, structural analysis and suggest alternatives to give social justice a better chance. Deprivation measures used without critical reflection can lead to deficit framing of populations and maintain current inequities in health and social outcomes. We contend therefore that the lack of consideration of (bio)power, privilege, epistemology and (bio)politics is a central concern in studies of deprivation. Our review highlights the need for the academy to balance the asymmetry between qualitative and quantitative studies of deprivation through trans-disciplinary approaches to understanding deprivation, and subsequently, social and health inequities. We recommend that deprivation research needs be critically applied through a decolonising lens to avoid deficit framing and suggest that there is space for a tool that focuses on measuring the unequal distribution of power and privilege in populations. Copyright © 2014 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Slabon, Wayne A.; Richards, Randy L.; Dennen, Vanessa P.
2014-01-01
In this paper, we introduce restorying, a pedagogical approach based on social constructivism that employs successive iterations of rewriting and discussing personal, student-generated, domain-relevant stories to promote conceptual application, critical thinking, and ill-structured problem solving skills. Using a naturalistic, qualitative case…
Brain architecture and social complexity in modern and ancient birds.
Burish, Mark J; Kueh, Hao Yuan; Wang, Samuel S-H
2004-01-01
Vertebrate brains vary tremendously in size, but differences in form are more subtle. To bring out functional contrasts that are independent of absolute size, we have normalized brain component sizes to whole brain volume. The set of such volume fractions is the cerebrotype of a species. Using this approach in mammals we previously identified specific associations between cerebrotype and behavioral specializations. Among primates, cerebrotypes are linked principally to enlargement of the cerebral cortex and are associated with increases in the complexity of social structure. Here we extend this analysis to include a second major vertebrate group, the birds. In birds the telencephalic volume fraction is strongly correlated with social complexity. This correlation accounts for almost half of the observed variation in telencephalic size, more than any other behavioral specialization examined, including the ability to learn song. A prominent exception to this pattern is owls, which are not social but still have very large forebrains. Interpolating the overall correlation for Archaeopteryx, an ancient bird, suggests that its social complexity was likely to have been on a par with modern domesticated chickens. Telencephalic volume fraction outperforms residuals-based measures of brain size at separating birds by social structure. Telencephalic volume fraction may be an anatomical substrate for social complexity, and perhaps cognitive ability, that can be generalized across a range of vertebrate brains, including dinosaurs. Copyright 2004 S. Karger AG, Basel
Valencia-Garcia, Dellanira; Simoni, Jane M; Alegría, Margarita; Takeuchi, David T
2012-04-01
We examined whether individual-level social capital-the intangible resources in a community available through membership in social networks or other social structures and perceived trust in the community-was associated with acculturation, depression and anxiety symptoms, and perceived access to services among women of Mexican ancestry. Recruited through venue-based targeted sampling in King County, Washington, 205 women of Mexican descent ages 18 to 64 years who differed in socioeconomic status and nativity completed a cross-sectional survey. Half completed the survey in Spanish and half in English. Structural equation modeling was used for model testing. Social capital increased with level of acculturation and was negatively related to depression and anxiety; it had no direct association with perceived access to services. Social capital mediated the relation between acculturation and both depression and anxiety symptoms. Acculturation had no direct association with psychological distress but was directly associated with perceived access to services. This community sample of women reported high levels of psychological distress, with 20% to 26% of women meeting diagnostic criteria for depression or anxiety. Social capital can be assessed at the individual level, increases with acculturation, and may be a potential target for interventions to improve mental health among Mexican American women residing in the United States. PsycINFO Database Record (c) 2012 APA, all rights reserved.
Classroom Goal Structures, Social Achievement Goals, and Adjustment in Middle School
ERIC Educational Resources Information Center
Shim, Sungok Serena; Cho, YoonJung; Wang, Cen
2013-01-01
The current study investigated the mediating role of social achievement goals in the relation between classroom goal structures and academic engagement and social adjustment among 373 middle school students (52.8% female). Students' perceptions of classroom goal structures were measured in Fall; social achievement goals and academic and social…
Social cognition in schizophrenia: factor structure, clinical and functional correlates.
Buck, Benjamin E; Healey, Kristin M; Gagen, Emily C; Roberts, David L; Penn, David L
2016-08-01
Social cognition is consistently impaired in people with schizophrenia, separable from general neurocognition, predictive of real-world functioning and amenable to psychosocial treatment. Few studies have empirically examined its underlying factor structure. This study (1) examines the factor structure of social cognition in both a sample of individuals with schizophrenia-spectrum disorders and non-clinical controls and (2) explores relationships of factors to neurocognition, symptoms and functioning. A factor analysis was conducted on social cognition measures in a sample of 65 individuals with schizophrenia or schizoaffective disorder, and 50 control participants. The resulting factors were examined for their relationships to symptoms and functioning. Results suggested a two-factor structure in the schizophrenia sample (social cognition skill and hostile attributional style) and a three-factor structure in the non-clinical sample (hostile attributional style, higher-level inferential processing and lower-level cue detection). In the schizophrenia sample, the social cognition skill factor was significantly related to negative symptoms and social functioning, whereas hostile attributional style predicted positive and general psychopathology symptoms. The factor structure of social cognition in schizophrenia separates hostile attributional style and social cognition skill, and each show differential relationships to relevant clinical variables in schizophrenia.
The Problem-Based Learning Process: Reflections of Pre-Service Elementary School Teachers
ERIC Educational Resources Information Center
Baysal, Zeliha Nurdan
2017-01-01
This study aims to identify the benefits acquired by third-year pre-service elementary school teachers participating in a problem-based learning process in social studies education, the issues they encountered in that process and those they are likely to encounter, and their feelings about the process. Semi-structured interviews were used as one…
Do Transitions and Social Structures Matter? How "Emerging Adults" Define Themselves as Adults
ERIC Educational Resources Information Center
Molgat, Marc
2007-01-01
Recently, theories and research in the new field of "emerging adulthood" have indicated that young people may currently view adulthood based on individualistic criteria and not according to the passing of one or another of the transitions many sociologists use to frame the analysis of youth. Based on qualitative interviews conducted with…
Getting support in polarized societies: income, social networks, and socioeconomic context.
Letki, Natalia; Mieriņa, Inta
2015-01-01
This paper explores how unequal resources and social and economic polarization affects the size of social networks and their use to access resources. We argue that individual resource position generates divergent expectations with regard to the impact of polarization on the size of networks on one hand, and their usefulness for accessing resources on the other. Social and economic polarization encourages reliance on informal networks, but those at the bottom of the social structure are forced to rely on more extensive networks than the wealthy to compensate for their isolated and underprivileged position. At the same time, social and economic polarization limits the resources the poor can access through their networks. We provide evidence consistent with these propositions, based on data derived from the International Social Survey Programme 2001 "Social Networks" dataset combined with contextual information on the levels of economic inequality in particular countries along with whether they experienced postcommunism. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.
Increasing Social Integration for College Students with Autism Spectrum Disorder
Ashbaugh, Kristen; Koegel, Robert; Koegel, Lynn
2016-01-01
Increasing numbers of individuals with Autism Spectrum Disorder (ASD) are entering postsecondary education; however, many report feeling lonely and isolated. These difficulties with socialization have been found to impact students’ academic success, involvement within the university, and overall well being. Therefore, the purpose of this study was to assess, within the context of a multiple-baseline across participants design, whether a structured social planning intervention would increase social integration for college students with ASD. The intervention consisted of weekly meetings to plan social activities around the student with ASD's interests, improve organizational skills, and target specific social skills. Additionally, each participant had a peer mentor for support during the social activities. The results showed that following intervention all participants increased their number of community-based social events, extracurricular activities, and peer interactions. Furthermore, participants improved in their academic performance and satisfaction with their college experience. Results are discussed in regards to developing specialized programs to assist college students with ASD. PMID:28642808
ERIC Educational Resources Information Center
Horvat, Erin McNamara
Our schools are environments of race and class and these school environments structure opportunity based on race and class. This paper explores how students' lives and their access to postsecondary education are framed and structured by the influences of race and class. The college choice decision process of three female Black students from a…
Reciprocity in computer-human interaction: source-based, norm-based, and affect-based explanations.
Lee, Seungcheol Austin; Liang, Yuhua Jake
2015-04-01
Individuals often apply social rules when they interact with computers, and this is known as the Computers Are Social Actors (CASA) effect. Following previous work, one approach to understand the mechanism responsible for CASA is to utilize computer agents and have the agents attempt to gain human compliance (e.g., completing a pattern recognition task). The current study focuses on three key factors frequently cited to influence traditional notions of compliance: evaluations toward the source (competence and warmth), normative influence (reciprocity), and affective influence (mood). Structural equation modeling assessed the effects of these factors on human compliance with computer request. The final model shows that norm-based influence (reciprocity) increased the likelihood of compliance, while evaluations toward the computer agent did not significantly influence compliance.
Effects of conformism on the cultural evolution of social behaviour.
Molleman, Lucas; Pen, Ido; Weissing, Franz J
2013-01-01
Models of cultural evolution study how the distribution of cultural traits changes over time. The dynamics of cultural evolution strongly depends on the way these traits are transmitted between individuals by social learning. Two prominent forms of social learning are payoff-based learning (imitating others that have higher payoffs) and conformist learning (imitating locally common behaviours). How payoff-based and conformist learning affect the cultural evolution of cooperation is currently a matter of lively debate, but few studies systematically analyse the interplay of these forms of social learning. Here we perform such a study by investigating how the interaction of payoff-based and conformist learning affects the outcome of cultural evolution in three social contexts. First, we develop a simple argument that provides insights into how the outcome of cultural evolution will change when more and more conformist learning is added to payoff-based learning. In a social dilemma (e.g. a Prisoner's Dilemma), conformism can turn cooperation into a stable equilibrium; in an evasion game (e.g. a Hawk-Dove game or a Snowdrift game) conformism tends to destabilize the polymorphic equilibrium; and in a coordination game (e.g. a Stag Hunt game), conformism changes the basin of attraction of the two equilibria. Second, we analyse a stochastic event-based model, revealing that conformism increases the speed of cultural evolution towards pure equilibria. Individual-based simulations as well as the analysis of the diffusion approximation of the stochastic model by and large confirm our findings. Third, we investigate the effect of an increasing degree of conformism on cultural group selection in a group-structured population. We conclude that, in contrast to statements in the literature, conformism hinders rather than promotes the evolution of cooperation.
Rajaei, Mehri; Haghjoo, Mostafa S; Miyaneh, Eynollah Khanjari
2015-01-01
Maintaining privacy in network data publishing is a major challenge. This is because known characteristics of individuals can be used to extract new information about them. Recently, researchers have developed privacy methods based on k-anonymity and l-diversity to prevent re-identification or sensitive label disclosure through certain structural information. However, most of these studies have considered only structural information and have been developed for undirected networks. Furthermore, most existing approaches rely on generalization and node clustering so may entail significant information loss as all properties of all members of each group are generalized to the same value. In this paper, we introduce a framework for protecting sensitive attribute, degree (the number of connected entities), and relationships, as well as the presence of individuals in directed social network data whose nodes contain attributes. First, we define a privacy model that specifies privacy requirements for the above private information. Then, we introduce the technique of Ambiguity in Social Network data (ASN) based on anatomy, which specifies how to publish social network data. To employ ASN, individuals are partitioned into groups. Then, ASN publishes exact values of properties of individuals of each group with common group ID in several tables. The lossy join of those tables based on group ID injects uncertainty to reconstruct the original network. We also show how to measure different privacy requirements in ASN. Simulation results on real and synthetic datasets demonstrate that our framework, which protects from four types of private information disclosure, preserves data utility in tabular, topological and spectrum aspects of networks at a satisfactory level.
Controlling nosocomial infection based on structure of hospital social networks.
Ueno, Taro; Masuda, Naoki
2008-10-07
Nosocomial infection (i.e. infection in healthcare facilities) raises a serious public health problem, as implied by the existence of pathogens characteristic to healthcare facilities such as methicillin-resistant Staphylococcus aureus and hospital-mediated outbreaks of influenza and severe acute respiratory syndrome. For general communities, epidemic modeling based on social networks is being recognized as a useful tool. However, disease propagation may occur in a healthcare facility in a manner different from that in a urban community setting due to different network architecture. We simulate stochastic susceptible-infected-recovered dynamics on social networks, which are based on observations in a hospital in Tokyo, to explore effective containment strategies against nosocomial infection. The observed social networks in the hospital have hierarchical and modular structure in which dense substructure such as departments, wards, and rooms, are globally but only loosely connected, and do not reveal extremely right-skewed distributions of the number of contacts per individual. We show that healthcare workers, particularly medical doctors, are main vectors (i.e. transmitters) of diseases on these networks. Intervention methods that restrict interaction between medical doctors and their visits to different wards shrink the final epidemic size more than intervention methods that directly protect patients, such as isolating patients in single rooms. By the same token, vaccinating doctors with priority rather than patients or nurses is more effective. Finally, vaccinating individuals with large betweenness centrality (frequency of mediating connection between pairs of individuals along the shortest paths) is superior to vaccinating ones with large connectedness to others or randomly chosen individuals, which was suggested by previous model studies.
Rajaei, Mehri; Haghjoo, Mostafa S.; Miyaneh, Eynollah Khanjari
2015-01-01
Maintaining privacy in network data publishing is a major challenge. This is because known characteristics of individuals can be used to extract new information about them. Recently, researchers have developed privacy methods based on k-anonymity and l-diversity to prevent re-identification or sensitive label disclosure through certain structural information. However, most of these studies have considered only structural information and have been developed for undirected networks. Furthermore, most existing approaches rely on generalization and node clustering so may entail significant information loss as all properties of all members of each group are generalized to the same value. In this paper, we introduce a framework for protecting sensitive attribute, degree (the number of connected entities), and relationships, as well as the presence of individuals in directed social network data whose nodes contain attributes. First, we define a privacy model that specifies privacy requirements for the above private information. Then, we introduce the technique of Ambiguity in Social Network data (ASN) based on anatomy, which specifies how to publish social network data. To employ ASN, individuals are partitioned into groups. Then, ASN publishes exact values of properties of individuals of each group with common group ID in several tables. The lossy join of those tables based on group ID injects uncertainty to reconstruct the original network. We also show how to measure different privacy requirements in ASN. Simulation results on real and synthetic datasets demonstrate that our framework, which protects from four types of private information disclosure, preserves data utility in tabular, topological and spectrum aspects of networks at a satisfactory level. PMID:26110762
Egocentric Social Network Analysis of Pathological Gambling
Meisel, Matthew K.; Clifton, Allan D.; MacKillop, James; Miller, Joshua D.; Campbell, W. Keith; Goodie, Adam S.
2012-01-01
Aims To apply social network analysis (SNA) to investigate whether frequency and severity of gambling problems were associated with different network characteristics among friends, family, and co-workers. is an innovative way to look at relationships among individuals; the current study was the first to our knowledge to apply SNA to gambling behaviors. Design Egocentric social network analysis was used to formally characterize the relationships between social network characteristics and gambling pathology. Setting Laboratory-based questionnaire and interview administration. Participants Forty frequent gamblers (22 non-pathological gamblers, 18 pathological gamblers) were recruited from the community. Findings The SNA revealed significant social network compositional differences between the two groups: pathological gamblers (PGs) had more gamblers, smokers, and drinkers in their social networks than did nonpathological gamblers (NPGs). PGs had more individuals in their network with whom they personally gambled, smoked, and drank with than those with who were NPG. Network ties were closer to individuals in their networks who gambled, smoked, and drank more frequently. Associations between gambling severity and structural network characteristics were not significant. Conclusions Pathological gambling is associated with compositional but not structural differences in social networks. Pathological gamblers differ from non-pathological gamblers in the number of gamblers, smokers, and drinkers in their social networks. Homophily within the networks also indicates that gamblers tend to be closer with other gamblers. This homophily may serve to reinforce addictive behaviors, and may suggest avenues for future study or intervention. PMID:23072641
Egocentric social network analysis of pathological gambling.
Meisel, Matthew K; Clifton, Allan D; Mackillop, James; Miller, Joshua D; Campbell, W Keith; Goodie, Adam S
2013-03-01
To apply social network analysis (SNA) to investigate whether frequency and severity of gambling problems were associated with different network characteristics among friends, family and co-workers is an innovative way to look at relationships among individuals; the current study was the first, to our knowledge, to apply SNA to gambling behaviors. Egocentric social network analysis was used to characterize formally the relationships between social network characteristics and gambling pathology. Laboratory-based questionnaire and interview administration. Forty frequent gamblers (22 non-pathological gamblers, 18 pathological gamblers) were recruited from the community. The SNA revealed significant social network compositional differences between the two groups: pathological gamblers (PGs) had more gamblers, smokers and drinkers in their social networks than did non-pathological gamblers (NPGs). PGs had more individuals in their network with whom they personally gambled, smoked and drank than those with who were NPG. Network ties were closer to individuals in their networks who gambled, smoked and drank more frequently. Associations between gambling severity and structural network characteristics were not significant. Pathological gambling is associated with compositional but not structural differences in social networks. Pathological gamblers differ from non-pathological gamblers in the number of gamblers, smokers and drinkers in their social networks. Homophily within the networks also indicates that gamblers tend to be closer with other gamblers. This homophily may serve to reinforce addictive behaviors, and may suggest avenues for future study or intervention. © 2012 The Authors, Addiction © 2012 Society for the Study of Addiction.
Brown, Gordon D A; Fincher, Corey L; Walasek, Lukasz
2016-01-01
What is the origin of individual differences in ideology and personality? According to the parasite stress hypothesis, the structure of a society and the values of individuals within it are both influenced by the prevalence of infectious disease within the society's geographical region. High levels of infection threat are associated with more ethnocentric and collectivist social structures and greater adherence to social norms, as well as with socially conservative political ideology and less open but more conscientious personalities. Here we use an agent-based model to explore a specific opportunities-parasites trade-off (OPTO) hypothesis, according to which utility-maximizing agents place themselves at an optimal point on a trade-off between (a) the gains that may be achieved through accessing the resources of geographically or socially distant out-group members through openness to out-group interaction, and (b) the losses arising due to consequently increased risks of exotic infection to which immunity has not been developed. We examine the evolution of cooperation and the formation of social groups within social networks, and we show that the groups that spontaneously form exhibit greater local rather than global cooperative networks when levels of infection are high. It is suggested that the OPTO model offers a first step toward understanding the specific mechanisms through which environmental conditions may influence cognition, ideology, personality, and social organization. Copyright © 2015 The Authors. Topics in Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society.
De Moortel, Deborah; Vandenheede, Hadewijch; Muntaner, Carles; Vanroelen, Christophe
2014-09-09
The objective of this study is to examine social inequalities in employee mental well-being, using relational social class indicators. Relational social class indicators are based on theoretical insights about the mechanisms generating social (health) inequalities. Additionally, it is examined whether the psychosocial work environment and employment quality act as intermediary determinants of social class inequalities in mental well-being, simultaneously testing the mediation (differential exposure) and moderation (differential vulnerability) hypotheses. Data from the European Social Survey Round 2 (2004/5) and Round 5 (2010) were analysed. Mental well-being was assessed by the WHO Well-being Index. The measure for social class was inspired by E.O. Wright's class scheme. Three-level linear multilevel modelling was used to account for clustering of employees within research years and countries. We found social class inequalities in mental well-being in the European working population for both men and women. Compared to unskilled workers, managers reported the best mental well-being, while supervisors held an intermediary position. As regards the mediation hypothesis, an unfavourable psychosocial work environment and low-quality employment conditions mediated the relation between social class and poor mental well-being in both men and women. However, low quality of employment relations only mediated the "social class-mental well-being" association in the male sample. As regards the moderation hypothesis, modification effects were seen for the psychosocial work environment and employment conditions in both men and women. Relational indicators of social class are related to mental well-being in European employees. Relational accounts of social class are complementary to stratification indicators in social epidemiology. From a policy perspective, better employee mental well-being and less social class inequality could be achieved through initiatives addressing the unequal social relations generated by structural positions in the labour process.
Women and social security: social policy adjusts to social change.
Kahne, H
1981-01-01
Women age sixty-five and over now constitute about three fifths of the elderly population. They live longer than men and over time that longevity gap is increasing. Yet their income in later years is woefully inadequate. Poverty status is greater for elderly women than for elderly men; over half of aged women in poverty are widows. This paper describes the social security program, the cornerstone of our retirement income, and the lack of congruence of its provisions with contemporary social roles of women. It analyzes alternative proposals of two-tier, double decker and homemaker benefits, and earnings sharing, and their possible impact on women's economic status. It recommends improvements for this transition period while more basic structural reform is under discussion. Reform based on societal consensus could increase equity of treatment and adequacy of benefits for women. It is an essential prelude to consideration of long range financing needs of social security.
Urbanism, Neighborhood Context, and Social Networks.
Cornwell, Erin York; Behler, Rachel L
2015-09-01
Theories of urbanism suggest that the urban context erodes individuals' strong social ties with friends and family. Recent research has narrowed focus to the neighborhood context, emphasizing how localized structural disadvantage affects community-level cohesion and social capital. In this paper, we argue that neighborhood context also shapes social ties with friends and family- particularly for community-dwelling seniors. We hypothesize that neighborhood disadvantage, residential instability, and disorder restrict residents' abilities to cultivate close relationships with neighbors and non-neighbor friends and family. Using data from the National Social Life, Health, and Aging Project (NSHAP), we find that older adults who live in disadvantaged neighborhoods have smaller social networks. Neighborhood disadvantage is also associated with less close network ties and less frequent interaction - but only among men. Furthermore, residents of disordered neighborhoods have smaller networks and weaker ties. We urge scholars to pay greater attention to how neighborhood context contributes to disparities in network-based access to resources.
Urbanism, Neighborhood Context, and Social Networks
Cornwell, Erin York; Behler, Rachel L.
2017-01-01
Theories of urbanism suggest that the urban context erodes individuals’ strong social ties with friends and family. Recent research has narrowed focus to the neighborhood context, emphasizing how localized structural disadvantage affects community-level cohesion and social capital. In this paper, we argue that neighborhood context also shapes social ties with friends and family– particularly for community-dwelling seniors. We hypothesize that neighborhood disadvantage, residential instability, and disorder restrict residents’ abilities to cultivate close relationships with neighbors and non-neighbor friends and family. Using data from the National Social Life, Health, and Aging Project (NSHAP), we find that older adults who live in disadvantaged neighborhoods have smaller social networks. Neighborhood disadvantage is also associated with less close network ties and less frequent interaction – but only among men. Furthermore, residents of disordered neighborhoods have smaller networks and weaker ties. We urge scholars to pay greater attention to how neighborhood context contributes to disparities in network-based access to resources. PMID:28819338
NASA Astrophysics Data System (ADS)
Fan, W.; Yeung, K. H.
2015-03-01
As social networking services are popular, many people may register in more than one online social network. In this paper we study a set of users who have accounts of three online social networks: namely Foursquare, Facebook and Twitter. Community structure of this set of users may be reflected in these three online social networks. Therefore, high correlation between these reflections and the underlying community structure may be observed. In this work, community structures are detected in all three online social networks. Also, we investigate the similarity level of community structures across different networks. It is found that they show strong correlation with each other. The similarity between different networks may be helpful to find a community structure close to the underlying one. To verify this, we propose a method to increase the weights of some connections in networks. With this method, new networks are generated to assist community detection. By doing this, value of modularity can be improved and the new community structure match network's natural structure better. In this paper we also show that the detected community structures of online social networks are correlated with users' locations which are identified on Foursquare. This information may also be useful for underlying community detection.
Pilkington, Hilary; Sharifullina, El'vira
2009-05-01
The article contributes to the literature on the role of social networks and social capital in young people's drug use. It considers the structural and cultural dimensions of the 'risk environment' of post-Soviet Russia, the micro risk-environment of a de-industrializing city in the far north of the country and the kind of social capital that circulates in young people's social networks there. Its focus is thus on social capital at the micro-level, the 'bridging' networks of peer friendship groups and the norms that govern them. The research is based on a small ethnographic study of the friendship groups and social networks of young people in the city of Vorkuta in 2006-2007. It draws on data from 32 respondents aged 17-27 in the form of 17 semi-structured audio and video interviews and field diaries. Respondents were selected from friendship groups in which drug use was a regular and symbolically significant practice. The risk environment of the Russian far north is characterised by major de-industrialization, poor health indicators, low life expectancy and limited educational and employment opportunities. It is also marked by a 'work hard, play hard' cultural ethos inherited from the Soviet period when risk-laden manual labour was well-rewarded materially and symbolically. However, young people today often rely on informal economic practices to generate the resource needed to fulfil their expectations. This is evident from the social networks among respondents which were found to be focused around a daily routine of generating and spending income, central to which is the purchase, sale and use of drugs. These practices are governed by norms that often invert those normally ascribed to social networks: reciprocity is replaced by mutual exploitation and trust by cheating. Social networks are central to young people's management of the risk environment associated with post-Soviet economic transformation. However, such networks are culturally as well as structurally determined and may be sites not only of cooperation, support and trust but also of mutual exploitation, deceit and distrust. This does not imply these regions are devoid of social capital. Rather it suggests that the notion of social capital as a natural by-product of a self-regulating economy and its institutions needs to be reconsidered in the context of local configurations of capital and social relations as well as their cultural and normative context. This reconsideration should include further reflection on whether the kinds of social networks described might be better understood not as motors for the generation of social capital but as sites of its 'mutual extraction'.
Constructing a self: the role of self-structure and self-certainty in social anxiety.
Stopa, Lusia; Brown, Mike A; Luke, Michelle A; Hirsch, Colette R
2010-10-01
Current cognitive models stress the importance of negative self-perceptions in maintaining social anxiety, but focus predominantly on content rather than structure. Two studies examine the role of self-structure (self-organisation, self-complexity, and self-concept clarity) in social anxiety. In study one, self-organisation and self-concept clarity were correlated with social anxiety, and a step-wise multiple regression showed that after controlling for depression and self-esteem, which explained 35% of the variance in social anxiety scores, self-concept clarity uniquely predicted social anxiety and accounted for an additional 7% of the variance in social anxiety scores in an undergraduate sample (N=95) and the interaction between self-concept clarity and compartmentalisation (an aspect of evaluative self-organisation) at step 3 of the multiple regression accounted for a further 3% of the variance in social anxiety scores. In study two, high (n=26) socially anxious participants demonstrated less self-concept clarity than low socially anxious participants (n=26) on both self-report (used in study one) and on computerised measures of self-consistency and confidence in self-related judgments. The high socially anxious group had more compartmentalised self-organisation than the low anxious group, but there were no differences between the two groups on any of the other measures of self-organisation. Self-complexity did not contribute to social anxiety in either study, although this may have been due to the absence of a stressor. Overall, the results suggest that self-structure has a potentially important role in understanding social anxiety and that self-concept clarity and other aspects of self-structure such as compartmentalisation interact with each other and could be potential maintaining factors in social anxiety. Cognitive therapy for social phobia might influence self-structure, and understanding the role of structural variables in maintenance and treatment could eventually help to improve treatment outcome. Copyright 2010 Elsevier Ltd. All rights reserved.
Constructing a self: The role of self-structure and self-certainty in social anxiety
Stopa, Lusia; Brown, Mike A.; Luke, Michelle A.; Hirsch, Colette R.
2010-01-01
Current cognitive models stress the importance of negative self-perceptions in maintaining social anxiety, but focus predominantly on content rather than structure. Two studies examine the role of self-structure (self-organisation, self-complexity, and self-concept clarity) in social anxiety. In study one, self-organisation and self-concept clarity were correlated with social anxiety, and a step-wise multiple regression showed that after controlling for depression and self-esteem, which explained 35% of the variance in social anxiety scores, self-concept clarity uniquely predicted social anxiety and accounted for an additional 7% of the variance in social anxiety scores in an undergraduate sample (N = 95) and the interaction between self-concept clarity and compartmentalisation (an aspect of evaluative self-organisation) at step 3 of the multiple regression accounted for a further 3% of the variance in social anxiety scores. In study two, high (n = 26) socially anxious participants demonstrated less self-concept clarity than low socially anxious participants (n = 26) on both self-report (used in study one) and on computerised measures of self-consistency and confidence in self-related judgments. The high socially anxious group had more compartmentalised self-organisation than the low anxious group, but there were no differences between the two groups on any of the other measures of self-organisation. Self-complexity did not contribute to social anxiety in either study, although this may have been due to the absence of a stressor. Overall, the results suggest that self-structure has a potentially important role in understanding social anxiety and that self-concept clarity and other aspects of self-structure such as compartmentalisation interact with each other and could be potential maintaining factors in social anxiety. Cognitive therapy for social phobia might influence self-structure, and understanding the role of structural variables in maintenance and treatment could eventually help to improve treatment outcome. PMID:20800751
Loignon, Christine; Haggerty, Jeannie L; Fortin, Martin; Bedos, Christophe P; Allen, Dawn; Barbeau, David
2010-03-25
The quality of the physician-patient therapeutic relationship is a key factor in the effectiveness of care. Unfortunately, physicians and people living in poverty inhabit very different social milieux, and this great social distance hinders the development of a therapeutic alliance. Social competence is a process based on knowledge, skills and attitudes that support effective interaction between the physician and patient despite the intervening social distance. It enables physicians to better understand their patients' living conditions and to adapt care to patients' needs and abilities. This qualitative research is based on a comprehensive design using in-depth semi-structured interviews with 25 general practitioners working with low-income patients in Montreal's metropolitan area (Québec, Canada). Physicians will be recruited based on two criteria: they provide care to low-income patients with at least one chronic illness, and are identified by their peers as having expertise in providing care to a poor population. For this recruitment, we will draw upon contacts we have made in another research study (Loignon et al., 2009) involving clinics located in poor neighbourhoods. That study will include in-clinic observations and interviews with physicians, both of which will help us identify physicians who have developed skills for treating low-income patients. We will also use the snowball sampling technique, asking participants to refer us to other physicians who meet our inclusion criteria. The semi-structured interviews, of 60 to 90 minutes each, will be recorded and transcribed. Our techniques for ensuring internal validity will include data analysis of transcribed interviews, indexation and reduction of data with software qualitative analysis, and development and validation of interpretations. This research project will allow us to identify the dimensions of the social competence process that helps physicians establish therapeutic relationships with low-income patients living with chronic illness. This study will also offer concrete recommendations for improving health interventions among low-income patients and for helping them to better manage their chronic illnesses. Ultimately, our aim is to strengthen the capacity of the health care system and of professionals to provide care that is adapted to the social conditions of people living in poverty.
A Component-Based Diffusion Model With Structural Diversity for Social Networks.
Qing Bao; Cheung, William K; Yu Zhang; Jiming Liu
2017-04-01
Diffusion on social networks refers to the process where opinions are spread via the connected nodes. Given a set of observed information cascades, one can infer the underlying diffusion process for social network analysis. The independent cascade model (IC model) is a widely adopted diffusion model where a node is assumed to be activated independently by any one of its neighbors. In reality, how a node will be activated also depends on how its neighbors are connected and activated. For instance, the opinions from the neighbors of the same social group are often similar and thus redundant. In this paper, we extend the IC model by considering that: 1) the information coming from the connected neighbors are similar and 2) the underlying redundancy can be modeled using a dynamic structural diversity measure of the neighbors. Our proposed model assumes each node to be activated independently by different communities (or components) of its parent nodes, each weighted by its effective size. An expectation maximization algorithm is derived to infer the model parameters. We compare the performance of the proposed model with the basic IC model and its variants using both synthetic data sets and a real-world data set containing news stories and Web blogs. Our empirical results show that incorporating the community structure of neighbors and the structural diversity measure into the diffusion model significantly improves the accuracy of the model, at the expense of only a reasonable increase in run-time.
Stability and Change in Social Goals as Related to Goal Structures and Engagement in School
ERIC Educational Resources Information Center
Madjar, Nir
2017-01-01
The current studies explored (a) the extended external validity of social-goal-orientation framework; (b) the mediating role of social goals between classroom goal structures and students' engagement; and (c) whether changes in social goals can be explained by classroom goal structures and engagement. Study 1 was cross-sectional (N = 317), and…
Evolution of Cooperation in Adaptive Social Networks
NASA Astrophysics Data System (ADS)
Segbroeck, Sven Van; Santos, Francisco C.; Traulsen, Arne; Lenaerts, Tom; Pacheco, Jorge M.
Humans are organized in societies, a phenomenon that would never have been possible without the evolution of cooperative behavior. Several mechanisms that foster this evolution have been unraveled over the years, with population structure as a prominent promoter of cooperation. Modern networks of exchange and cooperation are, however, becoming increasingly volatile, and less and less based on long-term stable structure. Here, we address how this change of paradigm aspects the evolution of cooperation. We discuss analytical and numerical models in which individuals can break social ties and create new ones. Interactions are modeled as two-player dilemmas of cooperation. Once a link between two individuals has formed, the productivity of this link is evaluated. Links can be broken off at different rates. This individual capacity of forming new links or severing inconvenient ones can effectively change the nature of the game. We address random formation of new links and local linking rules as well as different individual capacities to maintain social interactions. We conclude by discussing how adaptive social networks can become an important step towards more realistic models of cultural dynamics.
An exploration of the Facebook social networks of smokers and non-smokers.
Fu, Luella; Jacobs, Megan A; Brookover, Jody; Valente, Thomas W; Cobb, Nathan K; Graham, Amanda L
2017-01-01
Social networks influence health behavior, including tobacco use and cessation. To date, little is known about whether and how the networks of online smokers and non-smokers may differ, or the potential implications of such differences with regards to intervention efforts. Understanding how social networks vary by smoking status could inform public health efforts to accelerate cessation or slow the adoption of tobacco use. These secondary analyses explore the structure of ego networks of both smokers and non-smokers collected as part of a randomized control trial conducted within Facebook. During the trial, a total of 14,010 individuals installed a Facebook smoking cessation app: 9,042 smokers who were randomized in the trial, an additional 2,881 smokers who did not meet full eligibility criteria, and 2,087 non-smokers. The ego network for all individuals was constructed out to second-degree connections. Four kinds of networks were constructed: friendship, family, photo, and group networks. From these networks we measured edges, isolates, density, mean betweenness, transitivity, and mean closeness. We also measured diameter, clustering, and modularity without ego and isolates. Logistic regressions were performed with smoking status as the response and network metrics as the primary independent variables and demographics and Facebook utilization metrics as covariates. The four networks had different characteristics, indicated by different multicollinearity issues and by logistic regression output. Among Friendship networks, the odds of smoking were higher in networks with lower betweenness (p = 0.00), lower transitivity (p = 0.00), and larger diameter (p = 0.00). Among Family networks, the odds of smoking were higher in networks with more vertices (p = .01), less transitivity (p = .04), and fewer isolates (p = .01). Among Photo networks, none of the network metrics were predictive of smoking status. Among Group networks, the odds of smoking were higher when diameter was smaller (p = .04). Together, these findings suggested that compared to non-smokers, smokers in this sample had less connected, more dispersed Facebook Friendship networks; larger but more fractured Family networks with fewer isolates; more compact Group networks; and Photo networks that were similar in network structure to those of non-smokers. This study illustrates the importance of examining structural differences in online social networks as a critical component for network-based interventions and lays the foundation for future research that examines the ways that social networks differ based on individual health behavior. Interventions that seek to target the behavior of individuals in the context of their social environment would be well served to understand social network structures of participants.
An exploration of the Facebook social networks of smokers and non-smokers
2017-01-01
Background Social networks influence health behavior, including tobacco use and cessation. To date, little is known about whether and how the networks of online smokers and non-smokers may differ, or the potential implications of such differences with regards to intervention efforts. Understanding how social networks vary by smoking status could inform public health efforts to accelerate cessation or slow the adoption of tobacco use. Objectives These secondary analyses explore the structure of ego networks of both smokers and non-smokers collected as part of a randomized control trial conducted within Facebook. Methods During the trial, a total of 14,010 individuals installed a Facebook smoking cessation app: 9,042 smokers who were randomized in the trial, an additional 2,881 smokers who did not meet full eligibility criteria, and 2,087 non-smokers. The ego network for all individuals was constructed out to second-degree connections. Four kinds of networks were constructed: friendship, family, photo, and group networks. From these networks we measured edges, isolates, density, mean betweenness, transitivity, and mean closeness. We also measured diameter, clustering, and modularity without ego and isolates. Logistic regressions were performed with smoking status as the response and network metrics as the primary independent variables and demographics and Facebook utilization metrics as covariates. Results The four networks had different characteristics, indicated by different multicollinearity issues and by logistic regression output. Among Friendship networks, the odds of smoking were higher in networks with lower betweenness (p = 0.00), lower transitivity (p = 0.00), and larger diameter (p = 0.00). Among Family networks, the odds of smoking were higher in networks with more vertices (p = .01), less transitivity (p = .04), and fewer isolates (p = .01). Among Photo networks, none of the network metrics were predictive of smoking status. Among Group networks, the odds of smoking were higher when diameter was smaller (p = .04). Together, these findings suggested that compared to non-smokers, smokers in this sample had less connected, more dispersed Facebook Friendship networks; larger but more fractured Family networks with fewer isolates; more compact Group networks; and Photo networks that were similar in network structure to those of non-smokers. Conclusions This study illustrates the importance of examining structural differences in online social networks as a critical component for network-based interventions and lays the foundation for future research that examines the ways that social networks differ based on individual health behavior. Interventions that seek to target the behavior of individuals in the context of their social environment would be well served to understand social network structures of participants. PMID:29095958
Krüsi, Andrea; Zhang, Emma; Chettiar, Jill; Shannon, Kate
2017-01-01
Background Globally, im/migrant women are overrepresented in the sex industry and experience disproportionate health inequities. Despite evidence that the health impacts of migration may vary according to the timing and stage of migration (e.g., early arrival vs. long-term migration), limited evidence exists regarding social and structural determinants of health across different stages of migration, especially among im/migrants engaged in sex work. Our aim was to describe and analyze the evolving social and structural determinants of health and safety across the arrival and settlement process for im/migrants in the indoor sex industry. Methods We analyzed qualitative interviews conducted with 44 im/migrant sex workers and managers/owners working in indoor sex establishments (e.g., massage parlours, micro-brothels) in Metropolitan Vancouver, Canada in 2011; quantitative data from AESHA, a larger community-based cohort, were used to describe socio-demographic and social and structural characteristics of im/migrant sex workers. Results Based on quantitative data among 198 im/migrant workers in AESHA, 78.3% were Chinese-born, the median duration in Canada was 6 years, and most (86.4%) serviced clients in formal indoor establishments. Qualitative narratives revealed diverse pathways into sex work upon arrival to Canada, including language barriers to conventional labour markets and the higher pay and relative flexibility of sex work. Once engaged in sex work, fear associated with police raids (e.g., immigration concerns, sex work disclosure) and language barriers to sexual negotiation and health, social and legal supports posed pervasive challenges to health, safety and human rights during long-term settlement in Canada. Conclusions Findings highlight the critical influences of criminalization, language barriers, and stigma and discrimination related to sex work and im/migrant status in shaping occupational health and safety for im/migrants engaged in sex work. Interventions and policy reforms that emphasize human rights and occupational health are needed to promote health and wellbeing across the arrival and settlement process. PMID:28141835
An Overview of Structural Characteristics in Problematic Video Game Playing.
Griffiths, Mark D; Nuyens, Filip
2017-01-01
There are many different factors involved in how and why people develop problems with video game playing. One such set of factors concerns the structural characteristics of video games (i.e., the structure, elements, and components of the video games themselves). Much of the research examining the structural characteristics of video games was initially based on research and theorizing from the gambling studies field. The present review briefly overviews the key papers in the field to date. The paper examines a number of areas including (i) similarities in structural characteristics of gambling and video gaming, (ii) structural characteristics in video games, (iii) narrative and flow in video games, (iv) structural characteristic taxonomies for video games, and (v) video game structural characteristics and game design ethics. Many of the studies carried out to date are small-scale, and comprise self-selected convenience samples (typically using self-report surveys or non-ecologically valid laboratory experiments). Based on the small amount of empirical data, it appears that structural features that take a long time to achieve in-game are the ones most associated with problematic video game play (e.g., earning experience points, managing in-game resources, mastering the video game, getting 100% in-game). The study of video games from a structural characteristic perspective is of benefit to many different stakeholders including academic researchers, video game players, and video game designers, as well as those interested in prevention and policymaking by making the games more socially responsible. It is important that researchers understand and recognize the psycho-social effects and impacts that the structural characteristics of video games can have on players, both positive and negative.
Top-down causation and social structures
Elder-Vass, Dave
2012-01-01
Top-down causation has been implicit in many sociological accounts of social structure and its influence on social events, but the social sciences have struggled to provide a coherent account of top-down causation itself. This paper summarizes a critical realist view of causation and emergence, shows how it supports a plausible account of top-down causation and then applies this account to the social world. The argument is illustrated by an examination of the concept of a norm circle, a kind of social entity that, it is argued, is causally responsible for the influence of normative social institutions. Nevertheless, social entities are structured rather differently from ordinary material ones, with the result that the compositional level structure of reality implicit in the concept of top-down causation has some limitations in the social world. The paper closes by considering what might be involved in examining how top-down causation can be shown to be at work in the social domain. PMID:23386963
Social capital and youth development: toward a typology of program practices.
Emery, Mary
2013-06-01
As part of our inquiry into how youth development and 4-H programming can affect the development of social capital for youth and for the community, we engaged youth in ripple mapping. Based on this information, we provide a typology of participation structures in youth development activities and the expected bridging and bonding social capital outcomes for each type. This article outlines the key factors underlying the typology and discusses strategies for using the typology to expand the impact of youth development and 4-H programming on young people and communities. It also outlines potential implications for increasing opportunities for fostering social capital leading to a spiraling-up effect for youth, volunteers, and the community. Copyright © 2013 Wiley Periodicals, Inc., A Wiley Company.
Modelling the public opinion transmission on social networks under opinion leaders
NASA Astrophysics Data System (ADS)
Li, Zuozhi; Li, Meng; Ji, Wanwan
2017-06-01
In this paper, based on Social Network Analysis (SNA), the social network model of opinion leaders influencing the public opinion transmission is explored. The hot event, A Female Driver Was Beaten Due To Lane Change, has characteristics of individual short-term and non-government intervention, which is used to data extraction, and formed of the network structure on opinion leaders influencing the public opinion transmission. And the evolution mechanism are analyzed in the three evolutionary situations. Opinion leaders influence micro-blogging public opinion on social network evolution model shows that this type of network public opinion transmission is largely constrained by opinion leaders, so the opinion leaders behavior supervising on the spread of this public opinion is pivotal, and which has a guiding significance.
Structural diversity in social contagion
Ugander, Johan; Backstrom, Lars; Marlow, Cameron; Kleinberg, Jon
2012-01-01
The concept of contagion has steadily expanded from its original grounding in epidemic disease to describe a vast array of processes that spread across networks, notably social phenomena such as fads, political opinions, the adoption of new technologies, and financial decisions. Traditional models of social contagion have been based on physical analogies with biological contagion, in which the probability that an individual is affected by the contagion grows monotonically with the size of his or her “contact neighborhood”—the number of affected individuals with whom he or she is in contact. Whereas this contact neighborhood hypothesis has formed the underpinning of essentially all current models, it has been challenging to evaluate it due to the difficulty in obtaining detailed data on individual network neighborhoods during the course of a large-scale contagion process. Here we study this question by analyzing the growth of Facebook, a rare example of a social process with genuinely global adoption. We find that the probability of contagion is tightly controlled by the number of connected components in an individual's contact neighborhood, rather than by the actual size of the neighborhood. Surprisingly, once this “structural diversity” is controlled for, the size of the contact neighborhood is in fact generally a negative predictor of contagion. More broadly, our analysis shows how data at the size and resolution of the Facebook network make possible the identification of subtle structural signals that go undetected at smaller scales yet hold pivotal predictive roles for the outcomes of social processes. PMID:22474360
Social organization and control of tuberculosis: the experience of a Brazilian town.
Bulgarelli, Alexandre Favero; Villa, Tereza Cristina Scatena; Pinto, Ione Carvalho
2013-01-01
This study was aimed at analyzing the participation of a committee formed by representatives of the community in tuberculosis control based on a participatory management model. This is a Case Study involving a tuberculosis committee with data collected through semi-structured interviews conducted with nine individuals. The data, organized through the Association of Ideas Map technique, were analyzed based on the Social Constructionism perspective. The participation of the Tuberculosis Committee studied was shown to be effective and associated with aspects articulated according to the measures taken by the social parties involved in the committee, culminating with assistances inserted into certain parts of the town's co-management. It was concluded that the reality of this case study shows that relationships among civil society can guide the management model in the search for effective processes of tuberculosis control.
Alcohol use and misuse: What are the contributions of occupation and work organization conditions?
Marchand, Alain
2008-01-01
Background This research examines the specific contribution of occupation and work organization conditions to alcohol use and misuse. It is based on a social-action model that takes into account agent personality, structures of daily life, and macro social structures. Methods Data come from a representative sample of 10,155 workers in Quebec, Canada. Multinomial regression models corrected for sample design effect have been used to predict low-risk and high-risk drinking compared to non-drinkers. The contribution of occupation and work organization conditions (skill used, decision authority, physical and psychological demands, hours worked, irregular work schedule, harassment, unionization, job insecurity, performance pay, prestige) have been adjusted for family situation, social network outside the workplace, and individual characteristics. Results Compared to non-qualified blue-collars, both low-risk and high-risk drinking are associated with qualified blue-collars, semi-qualified white-collars, and middle managers; high-risk drinking is associated with upper managers. For constraints-resources related to work organization conditions, only workplace harassment is an important determinant of both low-risk and high-risk drinking, but it is modestly moderated by occupation. Family situation, social support outside work, and personal characteristics of individuals are also associated with alcohol use and misuse. Non-work factors mediated/suppressed the role of occupation and work organization conditions. Conclusion Occupation and workplace harassment are important factors associated with alcohol use and misuse. The results support the theoretical model conceptualizing alcohol use and misuse as being the product of stress caused by constraints and resources brought to bear simultaneously by agent personality, structures of daily life, and macro social structures. Occupational alcohol researchers must expand their theoretical perspectives to avoid erroneous conclusions about the specific role of the workplace. PMID:18816388
Alcohol use and misuse: what are the contributions of occupation and work organization conditions?
Marchand, Alain
2008-09-24
This research examines the specific contribution of occupation and work organization conditions to alcohol use and misuse. It is based on a social-action model that takes into account agent personality, structures of daily life, and macro social structures. Data come from a representative sample of 10,155 workers in Quebec, Canada. Multinomial regression models corrected for sample design effect have been used to predict low-risk and high-risk drinking compared to non-drinkers. The contribution of occupation and work organization conditions (skill used, decision authority, physical and psychological demands, hours worked, irregular work schedule, harassment, unionization, job insecurity, performance pay, prestige) have been adjusted for family situation, social network outside the workplace, and individual characteristics. Compared to non-qualified blue-collars, both low-risk and high-risk drinking are associated with qualified blue-collars, semi-qualified white-collars, and middle managers; high-risk drinking is associated with upper managers. For constraints-resources related to work organization conditions, only workplace harassment is an important determinant of both low-risk and high-risk drinking, but it is modestly moderated by occupation. Family situation, social support outside work, and personal characteristics of individuals are also associated with alcohol use and misuse. Non-work factors mediated/suppressed the role of occupation and work organization conditions. Occupation and workplace harassment are important factors associated with alcohol use and misuse. The results support the theoretical model conceptualizing alcohol use and misuse as being the product of stress caused by constraints and resources brought to bear simultaneously by agent personality, structures of daily life, and macro social structures. Occupational alcohol researchers must expand their theoretical perspectives to avoid erroneous conclusions about the specific role of the workplace.
Oliveira, Sandra E H; Esteves, Francisco; Carvalho, Helena
2015-09-30
Some mental illnesses and certain mental health care environments can be severely stigmatizing, which seems to be related to decreased self-esteem and a deterioration of the quality of social relationships for people with mental illness. This study aims to identify clinical profiles characterized by clinical diagnoses more strongly associated with the treatment settings and related to internalized stigma, self-esteem and satisfaction with social relationships. It also aimed to analyze associations between clinical profiles and socio-demographic indicators. Multiple correspondence analysis and cluster analysis were performed on a sample of 261 individuals with schizophrenia and mood disorders, from hospital-based and community-based facilities. MCA showed four distinct clinical profiles allowing a differentiation among levels of: internalized stigma, social relationship satisfaction and self-esteem. Overall, results revealed that internalized stigma remains a pervasive problem for some people with schizophrenia and mood disorders. Particularly, internalized stigma and social relationships dissatisfaction and associated socio-demographic indicators appear to be a risk factor for social isolation for individuals with schizophrenia, which may worsen the course of the disorder. Our findings highlight the importance to develop structured interventions aimed to reduce internalized stigma, and exclusion of those who suffer the loss of their social roles and networks. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Hassanzadeh, Jafar; Asadi-Lari, Mohsen; Baghbanian, Abdolvahab; Ghaem, Haleh; Kassani, Aziz; Rezaianzadeh, Abbas
2016-01-01
Aim To explore the association(s) between demographic factors, socioeconomic status (SES), social capital, health-related quality of life (HRQoL), and mental health among residents of Tehran, Iran. Methods The pooled data (n = 31 519) were extracted from a population-based survey Urban Health Equity Assessment and Response Tool-2 (Urban HEART-2) conducted in Tehran in 2011. Mental health, social capital, and HRQoL were assessed using the 28-item General Health Questionnaire (GHQ-28), social capital questionnaire, and Short-Form Health Survey (SF-12), respectively. The study used a multistage sampling method. Social capital, HRQoL, and SES were considered as latent variables. The association between these latent variables, demographic factors, and mental health was determined by structural-equation modeling (SEM). Results The mean age and mental health score were 44.48 ± 15.87 years and 23.33 ± 11.10 (range, 0-84), respectively. The prevalence of mental disorders was 41.76% (95% confidence interval 41.21-42.30). The SEM model showed that age was directly associated with social capital (P = 0.016) and mental health (P = 0.001). Sex was indirectly related to mental health through social capital (P = 0.018). SES, HRQoL, and social capital were associated both directly and indirectly with mental health status. Conclusion This study suggests that changes in social capital and SES can lead to positive changes in mental health status and that individual and contextual determinants influence HRQoL and mental health. PMID:26935615
Mo, Phoenix K H; Chan, Virginia W Y; Chan, Samuel W; Lau, Joseph T F
2018-07-01
Internet addiction is prevalent among adolescents and is associated with various negative outcomes. Relatively few studies examined the role of emotion dysregulation and social support on Internet addiction in this population. The present examined the association between emotion dysregulation, social support, and Internet addiction among junior secondary school students in Hong Kong. The mediating role of emotion dysregulation and Internet use on the relationship between social support and Internet addiction and the gender difference in such association were also tested. A total of 862 junior secondary school students (grade 7 to 8) from 4 schools completed a cross-sectional survey. 10.9% scored above the cut-off for Internet addiction based on the Chen Internet Addiction Scale. Results from structural equation modeling revealed that social support was negatively related to emotion dysregulation and Internet usage, which in turn, were positively related to Internet addiction. Results from multi-group analysis by gender showed that the relationship between social support and emotion dysregulation, Internet usage, and Internet addiction, and those between emotion dysregulation and Internet addiction and between Internet usage and Internet addiction were stronger among female participants. Emotion dysregulation is a potential risk factor while social support is a potential protective factor for Internet addiction. The role of social support on emotion dysregulation and Internet addiction were stronger among female students. Gender-sensitive interventions on Internet Addiction for adolescents are warranted, such interventions should increase social support and improve emotion regulation. Copyright © 2018. Published by Elsevier Ltd.
Shoham, David A; Tong, Liping; Lamberson, Peter J; Auchincloss, Amy H; Zhang, Jun; Dugas, Lara; Kaufman, Jay S; Cooper, Richard S; Luke, Amy
2012-01-01
Recent studies suggest that obesity may be "contagious" between individuals in social networks. Social contagion (influence), however, may not be identifiable using traditional statistical approaches because they cannot distinguish contagion from homophily (the propensity for individuals to select friends who are similar to themselves) or from shared environmental influences. In this paper, we apply the stochastic actor-based model (SABM) framework developed by Snijders and colleagues to data on adolescent body mass index (BMI), screen time, and playing active sports. Our primary hypothesis was that social influences on adolescent body size and related behaviors are independent of friend selection. Employing the SABM, we simultaneously modeled network dynamics (friendship selection based on homophily and structural characteristics of the network) and social influence. We focused on the 2 largest schools in the National Longitudinal Study of Adolescent Health (Add Health) and held the school environment constant by examining the 2 school networks separately (N = 624 and 1151). Results show support in both schools for homophily on BMI, but also for social influence on BMI. There was no evidence of homophily on screen time in either school, while only one of the schools showed homophily on playing active sports. There was, however, evidence of social influence on screen time in one of the schools, and playing active sports in both schools. These results suggest that both homophily and social influence are important in understanding patterns of adolescent obesity. Intervention efforts should take into consideration peers' influence on one another, rather than treating "high risk" adolescents in isolation.
Effect of social networks and well-being on acute care needs.
Sintonen, Sanna; Pehkonen, Aini
2014-01-01
The effect of social surroundings has been noted as an important component of the well-being of elderly people. A strong social network and strong and steady relationships are necessary for coping when illness or functional limitations occur in later life. Vulnerability can affect well-being and functioning particularly when sudden life changes occur. The objective of this study was to analyse how the determinants of social well-being affect individual acute care needs when sudden life changes occur. Empirical evidence was collected using a cross-sectional mail survey in Finland in January 2011 among individuals aged 55-79 years. The age-stratified random sample covered 3000 individuals, and the eventual response rate was 56% (1680). Complete responses were received from 1282 respondents (42.7%). The study focuses on the compactness of social networks, social disability, the stability of social relationships and the fear of loneliness as well as how these factors influence acute care needs. The measurement was based on a latent factor structure, and the key concepts were measured using two ordinal items. The results of the structural model suggest that the need for care is directly affected by social disability and the fear of loneliness. In addition, social disability is a determinant of the fear of loneliness and therefore plays an important role if sudden life changes occur. The compactness of social networks decreases social disability and partly diminishes the fear of loneliness and therefore has an indirect effect on the need for care. The stability of social relationships was influenced by the social networks and disability, but was an insignificant predictor of care needs. To conclude, social networks and well-being can decrease care needs, and supportive actions should be targeted to avoid loneliness and social isolation so that the informal network could be applied as an aspect of care-giving when acute life changes occur. © 2013 John Wiley & Sons Ltd.
The Private Lives of Minerals: Social Network Analysis Applied to Mineralogy and Petrology
NASA Astrophysics Data System (ADS)
Hazen, R. M.; Morrison, S. M.; Fox, P. A.; Golden, J. J.; Downs, R. T.; Eleish, A.; Prabhu, A.; Li, C.; Liu, C.
2016-12-01
Comprehensive databases of mineral species (rruff.info/ima) and their geographic localities and co-existing mineral assemblages (mindat.org) reveal patterns of mineral association and distribution that mimic social networks, as commonly applied to such varied topics as social media interactions, the spread of disease, terrorism networks, and research collaborations. Applying social network analysis (SNA) to common assemblages of rock-forming igneous and regional metamorphic mineral species, we find patterns of cohesion, segregation, density, and cliques that are similar to those of human social networks. These patterns highlight classic trends in lithologic evolution and are illustrated with sociograms, in which mineral species are the "nodes" and co-existing species form "links." Filters based on chemistry, age, structural group, and other parameters highlight visually both familiar and new aspects of mineralogy and petrology. We quantify sociograms with SNA metrics, including connectivity (based on the frequency of co-occurrence of mineral pairs), homophily (the extent to which co-existing mineral species share compositional and other characteristics), network closure (based on the degree of network interconnectivity), and segmentation (as revealed by isolated "cliques" of mineral species). Exploitation of large and growing mineral data resources with SNA offers promising avenues for discovering previously hidden trends in mineral diversity-distribution systematics, as well as providing new pedagogical approaches to teaching mineralogy and petrology.
Punishment can promote defection in group-structured populations.
Powers, Simon T; Taylor, Daniel J; Bryson, Joanna J
2012-10-21
Pro-social punishment, whereby cooperators punish defectors, is often suggested as a mechanism that maintains cooperation in large human groups. Importantly, models that support this idea have to date only allowed defectors to be the target of punishment. However, recent empirical work has demonstrated the existence of anti-social punishment in public goods games. That is, individuals that defect have been found to also punish cooperators. Some recent theoretical studies have found that such anti-social punishment can prevent the evolution of pro-social punishment and cooperation. However, the evolution of anti-social punishment in group-structured populations has not been formally addressed. Previous work has informally argued that group-structure must favour pro-social punishment. Here we formally investigate how two demographic factors, group size and dispersal frequency, affect selection pressures on pro- and anti-social punishment. Contrary to the suggestions of previous work, we find that anti-social punishment can prevent the evolution of pro-social punishment and cooperation under a range of group structures. Given that anti-social punishment has now been found in all studied extant human cultures, the claims of previous models showing the co-evolution of pro-social punishment and cooperation in group-structured populations should be re-evaluated. Copyright © 2012 Elsevier Ltd. All rights reserved.
Cruickshank, Justin
2012-03-01
Positioning positivism, critical realism and social constructionism in the health sciences: a philosophical orientation This article starts by considering the differences within the positivist tradition and then it moves on to compare two of the most prominent schools of postpositivism, namely critical realism and social constructionism. Critical realists hold, with positivism, that knowledge should be positively applied, but reject the positivist method for doing this, arguing that causal explanations have to be based not on empirical regularities but on references to unobservable structures. Social constructionists take a different approach to postpositivism and endorse a relativist rejection of truth and hold that the task of research is to foster a scepticism that undermines any positive truth claim made. It is argued that social constructionism is a contradictory position. © 2011 Blackwell Publishing Ltd.
Social cognition in schizophrenia: Factor structure, clinical and functional correlates
Buck, Benjamin E.; Healey, Kristin M.; Gagen, Emily C.; Roberts, David L.; Penn, David L.
2016-01-01
Background Social cognition is consistently impaired in people with schizophrenia, separable from general neurocognition, predictive of real-world functioning, and amenable to psychosocial treatment. Few studies have empirically examined its underlying factor structure. Aims The present study (1) examines the factor structure of social cognition in both a sample of individuals with schizophrenia-spectrum disorders and non-clinical controls, and (2) explores relationships of factors to neurocognition, symptoms and functioning. Method A factor analysis was conducted on social cognition measures in a sample of sixty-five individuals with schizophrenia or schizoaffective disorder, and fifty control participants. The resulting factors were examined for their relationships to symptoms and functioning. Results Results suggested a two-factor structure in the schizophrenia sample (social cognition skill and hostile attributional style) and a three-factor structure in the non-clinical sample (hostile attributional style, higher-level inferential processing, and lower-level cue detection). In the schizophrenia sample, the social cognition skill factor was significantly related to negative symptoms and social functioning, while hostile attributional style predicted positive and general psychopathology symptoms. Conclusions The factor structure of social cognition in schizophrenia separates hostile attributional style and social cognition skill, and each show differential relationships to relevant clinical variables in schizophrenia. PMID:26747063