Science.gov

Sample records for academic social networking

  1. Social Networking Tools for Academic Libraries

    ERIC Educational Resources Information Center

    Chu, Samuel Kai-Wah; Du, Helen S.

    2013-01-01

    This is an exploratory study investigating the use of social networking tools in academic libraries, examining the extent of their use, library staff's perceptions of their usefulness and challenges, and factors influencing decisions to use or not to use such tools. Invitations to participate in a web-based survey were sent to 140 university…

  2. Spread of academic success in a high school social network.

    PubMed

    Blansky, Deanna; Kavanaugh, Christina; Boothroyd, Cara; Benson, Brianna; Gallagher, Julie; Endress, John; Sayama, Hiroki

    2013-01-01

    Application of social network analysis to education has revealed how social network positions of K-12 students correlate with their behavior and academic achievements. However, no study has been conducted on how their social network influences their academic progress over time. Here we investigated correlations between high school students' academic progress over one year and the social environment that surrounds them in their friendship network. We found that students whose friends' average GPA (Grade Point Average) was greater (or less) than their own had a higher tendency toward increasing (or decreasing) their academic ranking over time, indicating social contagion of academic success taking place in their social network.

  3. The Influence of Academic Tracking on Adolescent Social Networks

    ERIC Educational Resources Information Center

    Fisher, Kim W.; Shogren, Karrie A.

    2016-01-01

    This study examined adolescents' social capital, through social network analyses (i.e., ego network analyses), in two high schools where students were placed into academic tracks adopted by the schools and shaped by disability status (i.e., general education, co-taught, segregated special education classrooms). The impact of academic tracks, as…

  4. Social Networks Use, Loneliness and Academic Performance among University Students

    ERIC Educational Resources Information Center

    Stankovska, Gordana; Angelkovska, Slagana; Grncarovska, Svetlana Pandiloska

    2016-01-01

    The world is extensively changed by Social Networks Sites (SNSs) on the Internet. A large number of children and adolescents in the world have access to the internet and are exposed to the internet at a very early age. Most of them use the Social Networks Sites with the purpose of exchanging academic activities and developing a social network all…

  5. Academic English Socialization through Individual Networks of Practice

    ERIC Educational Resources Information Center

    Zappa-Hollman, Sandra; Duff, Patricia A.

    2015-01-01

    This article introduces the notion of individual network of practice (INoP) as a viable construct for analyzing academic (discourse) socialization in second language (L2) contexts. The authors provide an overview of social practice theories that have informed the development of INoP--community of practice (CoP; Lave & Wenger, 1991; Wenger,…

  6. The Influence of Social Networking Sites on High School Students' Social and Academic Development

    ERIC Educational Resources Information Center

    Ahn, June

    2010-01-01

    This dissertation examines the effects of social network sites on youth social and academic development. First, I provide a critical analysis of the extant research literature surrounding social network sites and youth. I merge scholarly thought in the areas of Internet studies, digital divides, social capital theory, psychological well-being,…

  7. EFL Writers' Social Networks: Impact on Advanced Academic Literacy Development

    ERIC Educational Resources Information Center

    Ferenz, Orna

    2005-01-01

    For non-native English writers, second language (L2) advanced academic literacy encompasses knowledge of the rhetorical, linguistic, social and cultural features of academic discourse as well as knowledge of English as used by their academic disciplines. Literacy is acquired through a socialization process embedded in social practice, patterned by…

  8. The Presence of Polish Academics on Social Networking Websites for Academics, Using the Example of Employees of Nicolaus Copernicus University

    ERIC Educational Resources Information Center

    Stachowiak, Beata

    2014-01-01

    The purpose of this article is to present the opportunities provided for researchers and academics by social networking websites in the context of their professional work. Moreover, the paper discusses the level of penetration of social websites by Polish academics on the example of Nicolaus Copernicus University (NCU) researchers. The results…

  9. Social Network Perspectives Reveal Strength of Academic Developers as Weak Ties

    ERIC Educational Resources Information Center

    Matthews, Kelly E.; Crampton, Andrea; Hill, Matthew; Johnson, Elizabeth D.; Sharma, Manjula D.; Varsavsky, Cristina

    2015-01-01

    Social network perspectives acknowledge the influence of disciplinary cultures on academics' teaching beliefs and practices with implications for academic developers. The contribution of academic developers in 18 scholarship of teaching and learning (SoTL) projects situated in the sciences are explored by drawing on data from a two-year national…

  10. Conceptualizing Academic Norms in Middle School: A Social Network Perspective

    ERIC Educational Resources Information Center

    McCormick, Meghan P.; Cappella, Elise

    2015-01-01

    A wide body of research has documented the relationship between social norms and individual behaviors. There is growing evidence that academic behaviors in early adolescence--when most children begin middle school--may be subject to normative influence as well. However, the structure and composition of peer relationships within middle schools have…

  11. Exploring the Effects of Social Networking on Students' Perceptions of Social Connectedness, Adjustment, Academic Engagement, and Institutional Commitment

    ERIC Educational Resources Information Center

    Hansen, Michele J.; Childress, Janice E.; Trujillo, Daniel J.

    2010-01-01

    Social networking is a tool being explored by many institutions as a means of connecting to and communicating with students. This study explores whether or not students' use of social networking services (SNSs) has significant effects on social connectedness, college adjustment, academic engagement, and institutional commitment. Students' use of…

  12. Marketing of Academic Library Services through Social Networking Sites: Implications of Electronic Word-of-Mouth

    ERIC Educational Resources Information Center

    Siddike, Md. Abul Kalam; Kiran, K.

    2015-01-01

    The main objective of this study is to investigate the perceptions of academic librarians towards the marketing of library services through social networking sites (SNSs) and their understanding of using electronic word-of-mouth (eWOM) as a marketing tool in academic libraries. This study follows a qualitative data-gathering approach of structured…

  13. Learning Community Transitions in the First Year: A Case Study of Academic and Social Network Change

    ERIC Educational Resources Information Center

    Smith, Rachel A.

    2011-01-01

    Residential learning communities often focus on easing first-year students' transitions to college by emphasizing the creation of peer social and academic relationships. However, this relational process is most often examined through analyzing individual student characteristics, behaviors, and attitudes. This study used network analysis to…

  14. Do academic knowledge brokers exist? Using social network analysis to explore academic research-to-policy networks from six schools of public health in Kenya

    PubMed Central

    Jessani, Nasreen S; Boulay, Marc G; Bennett, Sara C

    2016-01-01

    The potential for academic research institutions to facilitate knowledge exchange and influence evidence-informed decision-making has been gaining ground. Schools of public health (SPHs) may play a key knowledge brokering role—serving as agencies of and for development. Understanding academic-policymaker networks can facilitate the enhancement of links between policymakers and academic faculty at SPHs, as well as assist in identifying academic knowledge brokers (KBs). Using a census approach, we administered a sociometric survey to academic faculty across six SPHs in Kenya to construct academic-policymaker networks. We identified academic KBs using social network analysis (SNA) in a two-step approach: First, we ranked individuals based on (1) number of policymakers in their network; (2) number of academic peers who report seeking them out for advice on knowledge translation and (3) their network position as ‘inter-group connectors’. Second, we triangulated the three scores and re-ranked individuals. Academic faculty scoring within the top decile across all three measures were classified as KBs. Results indicate that each SPH commands a variety of unique as well as overlapping relationships with national ministries in Kenya. Of 124 full-time faculty, we identified 7 KBs in 4 of the 6 SPHs. Those scoring high on the first measure were not necessarily the same individuals scoring high on the second. KBs were also situated in a wide range along the ‘connector/betweenness’ measure. We propose that a composite score rather than traditional ‘betweenness centrality’, provides an alternative means of identifying KBs within these networks. In conclusion, SNA is a valuable tool for identifying academic-policymaker networks in Kenya. More efforts to conduct similar network studies would permit SPH leadership to identify existing linkages between faculty and policymakers, shared linkages with other SPHs and gaps so as to contribute to evidence-informed health

  15. Do academic knowledge brokers exist? Using social network analysis to explore academic research-to-policy networks from six schools of public health in Kenya.

    PubMed

    Jessani, Nasreen S; Boulay, Marc G; Bennett, Sara C

    2016-06-01

    The potential for academic research institutions to facilitate knowledge exchange and influence evidence-informed decision-making has been gaining ground. Schools of public health (SPHs) may play a key knowledge brokering role-serving as agencies of and for development. Understanding academic-policymaker networks can facilitate the enhancement of links between policymakers and academic faculty at SPHs, as well as assist in identifying academic knowledge brokers (KBs). Using a census approach, we administered a sociometric survey to academic faculty across six SPHs in Kenya to construct academic-policymaker networks. We identified academic KBs using social network analysis (SNA) in a two-step approach: First, we ranked individuals based on (1) number of policymakers in their network; (2) number of academic peers who report seeking them out for advice on knowledge translation and (3) their network position as 'inter-group connectors'. Second, we triangulated the three scores and re-ranked individuals. Academic faculty scoring within the top decile across all three measures were classified as KBs. Results indicate that each SPH commands a variety of unique as well as overlapping relationships with national ministries in Kenya. Of 124 full-time faculty, we identified 7 KBs in 4 of the 6 SPHs. Those scoring high on the first measure were not necessarily the same individuals scoring high on the second. KBs were also situated in a wide range along the 'connector/betweenness' measure. We propose that a composite score rather than traditional 'betweenness centrality', provides an alternative means of identifying KBs within these networks. In conclusion, SNA is a valuable tool for identifying academic-policymaker networks in Kenya. More efforts to conduct similar network studies would permit SPH leadership to identify existing linkages between faculty and policymakers, shared linkages with other SPHs and gaps so as to contribute to evidence-informed health policies.

  16. Early adolescent friendships and academic adjustment: examining selection and influence processes with longitudinal social network analysis.

    PubMed

    Shin, Huiyoung; Ryan, Allison M

    2014-11-01

    This study investigated early adolescent friendship selection and social influence with regard to academic motivation (self-efficacy and intrinsic value), engagement (effortful and disruptive behavior), and achievement (GPA calculated from report card grades) among 6th graders (N = 587, 50% girls at Wave 1; N = 576, 52% girls at Wave 2) followed from fall to spring within 1 academic year. A stochastic actor-based model of social network analysis was used to overcome methodological limitations of prior research on friends, peer groups, and academic adjustment. Evidence that early adolescents sought out friends who were similar to themselves (selection) was found in regard to academic self-efficacy, and a similar trend was found for achievement. Evidence that friends became more similar to their friends over time (influence) was found for all aspects of academic adjustment except academic self-efficacy. Collectively, results indicate that selection effects were not as pervasive as influence effects in explaining similarity among friends in academic adjustment. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

  17. The SNAP Platform: Social Networking for Academic Purposes

    ERIC Educational Resources Information Center

    Kirkwood, Keith

    2010-01-01

    Purpose: This paper aims to introduce an enterprise-wide Web 2.0 learning support platform--SNAP, developed at Victoria University in Melbourne, Australia. Design/methodology/approach: Pointing to the evolution of the social web, the paper discusses the potential for the development of e-learning platforms that employ constructivist, connectivist,…

  18. Department-level change: Using social network analysis to map the hidden structure of academic departments

    NASA Astrophysics Data System (ADS)

    Henderson, Charles; Quardokus, Kathleen

    2013-01-01

    Efforts to improve teaching in higher education have often focused on individual faculty. However, there is a growing consensus that the academic department is a more productive focus of change initiatives. Yet, academic departments are not all the same. Understanding the structure of relationships within a department is important for identifying who should be involved in the change effort and in what roles. It is also likely that a successful change effort will modify the structure of relationships within a department. This paper presents the preliminary results from a study of two academic departments at a research university. A social network for each department was constructed based on a web survey that asked faculty to identify colleagues with whom they had teaching-related conversations. We identify characteristics of the individuals and departments and describe how learning about this hidden structure can be beneficial to change agents.

  19. "I 'Deserve' Success": Academic Entitlement Attitudes and Their Relationships with Course Self-Efficacy, Social Networking, and Demographic Variables

    ERIC Educational Resources Information Center

    Boswell, Stefanie S.

    2012-01-01

    This study investigated differences in university students' academic entitlement (AE) by demographic group (sex, college class, college generational status) as well as AE's relationship with self-efficacy for college coursework and social networking. It also investigated predictors of AE in first-generation (FG) students and continuing-generation…

  20. Why Are Some More Peer Than Others? Evidence from a Longitudinal Study of Social Networks and Individual Academic Performance.

    PubMed

    Lomi, Alessandro; Snijders, Tom A B; Steglich, Christian E G; Torlo, Vanina Jasmine

    2011-11-01

    Studies of peer effects in educational settings confront two main problems. The first is the presence of endogenous sorting which confounds the effects of social influence and social selection on individual attainment. The second is how to account for the local network dependencies through which peer effects influence individual behavior. We empirically address these problems using longitudinal data on academic performance, friendship, and advice seeking relations among students in a full-time graduate academic program. We specify stochastic agent-based models that permit estimation of the interdependent contribution of social selection and social influence to individual performance. We report evidence of peer effects. Students tend to assimilate the average performance of their friends and of their advisors. At the same time, students attaining similar levels of academic performance are more likely to develop friendship and advice ties. Together, these results imply that processes of social influence and social selection are sub-components of a more general a co-evolutionary process linking network structure and individual behavior. We discuss possible points of contact between our findings and current research in the economics and sociology of education.

  1. Early Adolescent Friendships and Academic Adjustment: Examining Selection and Influence Processes with Longitudinal Social Network Analysis

    ERIC Educational Resources Information Center

    Shin, Huiyoung; Ryan, Allison M.

    2014-01-01

    This study investigated early adolescent friendship selection and social influence with regard to academic motivation (self-efficacy and intrinsic value), engagement (effortful and disruptive behavior), and achievement (GPA calculated from report card grades) among 6th graders (N = 587, 50% girls at Wave 1; N = 576, 52% girls at Wave 2) followed…

  2. Using social network analysis within a department of biomedical informatics to induce a discussion of academic communities of practice.

    PubMed

    Merrill, Jacqueline; Hripcsak, George

    2008-01-01

    In order to assess the mission and strategic direction in an academic department of biomedical informatics, we used social network analysis to identify patterns of common interest among the department's multidisciplinary faculty. Data representing faculty and their self-identified research methods and expertise were analyzed by applying a network modularity algorithm to detect community structure. Three distinct communities of practice emerged: empirical discovery and prediction; human and organizational factors; and information management. This analysis made intuitive sense and served the goal of stimulating discussion from new perspectives. The findings will guide future direction and faculty recruitment efforts. Communities of practice present a novel view of interdisciplinarity in biomedical informatics.

  3. Re-Imagining Internet Scholarship: Academic Uses and Abuses of the Influential Internet Social Network, Facebook

    ERIC Educational Resources Information Center

    Nam, Kyoung-Ah; Fry, Gerald W.

    2012-01-01

    Since its inception at Harvard in 2004, the social network, Facebook, has grown dramatically and spread across the globe. It will soon have 1 billion users and is now operative in over 75 languages. A large percentage of undergraduates are now active on Facebook. Much of the recent literature on Facebook focuses on business applications and how it…

  4. Use of Social Networking Sites by Academic Librarians in Six Selected States of Nigeria

    ERIC Educational Resources Information Center

    Tella, Adeyinka; Olarongbe, Shuaib Agboola; Akanbi-Ademolake, Hauwa Bolanle; Adisa, Mulikat Y.

    2013-01-01

    The attractiveness of social networking sites (SNSs) has extended to almost all professionals in numerous human organizations including the library. Librarians as a result of this development are now making use of these sites to connect to other libraries and librarians both within and outside their environment. However, it is observed that the…

  5. Quantified Academic Selves: The Gamification of Research through Social Networking Services

    ERIC Educational Resources Information Center

    Hammarfelt, Björn; de Rijcke, Sarah; Rushforth, Alexander D.

    2016-01-01

    Introduction: Our study critically engages with techniques of self-quantification in contemporary academia, by demonstrating how social networking services enact research and scholarly communication as a "game". Method: The empirical part of the study involves an analysis of two leading platforms: Impactstory and ResearchGate. Observed…

  6. Reflections of Students' Language Usage in Social Networking Sites: Making or Marring Academic English

    ERIC Educational Resources Information Center

    Thurairaj, Saraswathy; Hoon, Er Pek; Roy, Swagata Sinha; Fong, Pok Wei

    2015-01-01

    Social networking sites (SNSs) have become a major form of communication in today's day and age whereby language use has been impacted in various areas especially in that of learning and teaching. Young users use literally half their week engaging in SNSs communication, thereby giving rise to a brand of internet slang which is entirely their own.…

  7. Unpacking (In)formal Learning in an Academic Development Programme: A Mixed-Method Social Network Perspective

    ERIC Educational Resources Information Center

    Rienties, Bart; Hosein, Anesa

    2015-01-01

    How and with whom academics develop and maintain formal and informal networks for reflecting on their teaching practice has received limited attention even though academic development (AD) programmes have become an almost ubiquitous feature of higher education. The primary goal of this mixed-method study is to unpack how 114 academics in an AD…

  8. Content Generation and Social Network Interaction within Academic Library Facebook Pages

    ERIC Educational Resources Information Center

    Witte, Ginna Gauntner

    2014-01-01

    The use of Facebook to share resources and engage patrons continues to gain acceptance within academic libraries. While many studies have analyzed the types of content academic libraries share on Facebook, there has not yet been a full examination of how this content is generated. This article examined the posting methods, the user responses, and…

  9. Promoting Instructional Change: Using Social Network Analysis to Understand the Informal Structure of Academic Departments

    ERIC Educational Resources Information Center

    Quardokus, Kathleen; Henderson, Charles

    2015-01-01

    Calls for improvement of undergraduate science education have resulted in numerous initiatives that seek to improve student learning outcomes by promoting changes in faculty teaching practices. Although many of these initiatives focus on individual faculty, researchers consider the academic department to be a highly productive focus for creating…

  10. Visitors and Residents: Mapping Student Attitudes to Academic Use of Social Networks

    ERIC Educational Resources Information Center

    Wright, Fiona; White, David; Hirst, Tony; Cann, Alan

    2014-01-01

    The Visitors and Residents model of internet use suggests a continuum of modes of engagement with the online world, ranging from tool use to social spaces. In this paper, we examine evidence derived from a large cohort of students to assess whether this idea can be validated by experimental evidence. We find statistically significant differences…

  11. "Only Connect": Mixed Methods Study of How First-Year Students Create Residential Academic and Social Networks

    ERIC Educational Resources Information Center

    Smith, Rachel Anne

    2010-01-01

    A key component in the success of students' first-year experience is their successful academic and social integration into the college environment (Tinto, 1993). Researchers have specified integration in terms of student behaviors and perceptions (Berger & Milem, 1999; Hurtado & Carter, 1997) and also studied it in terms of engagement (Kuh, 2009)…

  12. Semantic Networks and Social Networks

    ERIC Educational Resources Information Center

    Downes, Stephen

    2005-01-01

    Purpose: To illustrate the need for social network metadata within semantic metadata. Design/methodology/approach: Surveys properties of social networks and the semantic web, suggests that social network analysis applies to semantic content, argues that semantic content is more searchable if social network metadata is merged with semantic web…

  13. The Intertwined Nature of Adolescents' Social and Academic Lives: Social and Academic Goal Orientations

    ERIC Educational Resources Information Center

    Ben-Eliyahu, Adar; Linnenbrink-Garcia, Lisa; Putallaz, Martha

    2017-01-01

    The relations of academic and social goal orientations to academic and social behaviors and self-concept were investigated among academically talented adolescents (N = 1,218) attending a mastery-oriented academic residential summer program. Results supported context effects in that academic mastery goal orientations predicted academic (in-class…

  14. Academe's New Girl Network

    ERIC Educational Resources Information Center

    Stent, Angela

    1978-01-01

    A "networking" processing pioneered by the Committee for the Concerns of Women in New England Colleges and Universities, which is establishing a New Girl network to compete with and eventually mesh with the Old Boy system, is described. Lobbying and conference efforts of HERS (Higher Education Resource Services) are reported. (LBH)

  15. Social Bookmarking in Academic Libraries: Trends and Applications

    ERIC Educational Resources Information Center

    Redden, Carla S.

    2010-01-01

    This paper presents an exploration of the potential utilization of social bookmarking web sites by academic libraries. These web sites, which allow users and organizations to create accounts for bookmarking online content, provide academic libraries tools to collaborate and network, organize and share electronic resources and teach information…

  16. The Academic and Social Life Styles of Students and Teachers of Higher Education Institutions in Bangladesh as Consequences of Using Social Network Sites

    ERIC Educational Resources Information Center

    Clement, Che Kum

    2014-01-01

    With the emergence of social network sites (SNS), students and teachers of higher education institutions all over the world have been making efforts to meet up with the demands of these information and communication technology (ICT) tools. This paper presents the findings of a study conducted at four private universities in Bangladesh with the aim…

  17. Going Social: The Impact of Social Networking in Promoting Education

    ERIC Educational Resources Information Center

    Jain, Neelesh Kumar; Verma, Ashish; Verma, Rama Shankar; Tiwari, Prashant

    2012-01-01

    The growth and the popularity of the Social networks has a high impact on the development of the students in the field of Personality, Attitudes, Knowledge and on its whole academic performance in classroom and society. This paper envisage on the impact of Social Network on Education and Training of the students.

  18. Developing Socially Responsible Leaders in Academic Settings

    ERIC Educational Resources Information Center

    Cauthen, T. W., III

    2016-01-01

    This chapter begins the exploration of what leadership education is through examining the relationship between educational involvement and academic autonomy in the development of socially responsible leaders.

  19. Wayfinding in Social Networks

    NASA Astrophysics Data System (ADS)

    Liben-Nowell, David

    With the recent explosion of popularity of commercial social-networking sites like Facebook and MySpace, the size of social networks that can be studied scientifically has passed from the scale traditionally studied by sociologists and anthropologists to the scale of networks more typically studied by computer scientists. In this chapter, I will highlight a recent line of computational research into the modeling and analysis of the small-world phenomenon - the observation that typical pairs of people in a social network are connected by very short chains of intermediate friends - and the ability of members of a large social network to collectively find efficient routes to reach individuals in the network. I will survey several recent mathematical models of social networks that account for these phenomena, with an emphasis on both the provable properties of these social-network models and the empirical validation of the models against real large-scale social-network data.

  20. Professional social networking.

    PubMed

    Rowley, Robert D

    2014-12-01

    We review the current state of social communication between healthcare professionals, the role of consumer social networking, and some emerging technologies to address the gaps. In particular, the review covers (1) the current state of loose social networking for continuing medical education (CME) and other broadcast information dissemination; (2) social networking for business promotion; (3) social networking for peer collaboration, including simple communication as well as more robust data-centered collaboration around patient care; and (4) engaging patients on social platforms, including integrating consumer-originated data into the mix of healthcare data. We will see how, as the nature of healthcare delivery moves from the institution-centric way of tradition to a more social and networked ambulatory pattern that we see emerging today, the nature of health IT has also moved from enterprise-centric systems to more socially networked, cloud-based options.

  1. Adoption of Social Networking in Education: A Study of the Use of Social Networks by Higher Education Students in Oman

    ERIC Educational Resources Information Center

    Al-Mukhaini, Elham M.; Al-Qayoudhi, Wafa S.; Al-Badi, Ali H.

    2014-01-01

    The use of social networks is a growing phenomenon, being increasingly important in both private and academic life. Social networks are used as tools to enable users to have social interaction. The use of social networks (SNs) complements and enhances the teaching in traditional classrooms. For example, YouTube, Facebook, wikis, and blogs provide…

  2. Social media networking: blogging.

    PubMed

    Schneider, Andrew; Jackson, Rem; Baum, Neil

    2010-01-01

    Social media networking is not your teenager's social media. It is a powerful tool that will change the way you communicate with your patients. This article will review the impact of social media and how social media can be a valuable tool for your medical practice. This is the first of a three-part article on social media and will discuss the use of blogging for medical practices.

  3. Community (in) Colleges: The Relationship Between Online Network Involvement and Academic Outcomes at a Community College

    ERIC Educational Resources Information Center

    Evans, Eliza D.; McFarland, Daniel A.; Rios-Aguilar, Cecilia; Deil-Amen, Regina

    2016-01-01

    Objective: This study explores the relationship between online social network involvement and academic outcomes among community college students. Prior theory hypothesizes that socio-academic moments are especially important for the integration of students into community colleges and that integration is related to academic outcomes. Online social…

  4. Assessing the Academic Networked Environment.

    ERIC Educational Resources Information Center

    Lippincott, Joan K.

    1999-01-01

    Describes a project of the Coalition for Networked Information, founded in 1990 to advance scholarship interest in the networked-computer environment. The project coordinated work of seven higher education institutions in conducting assessments of their campus networks. Topics discussed include the networking climate on campuses, why assessment is…

  5. Triumph of hope over experience: learning from interventions to reduce avoidable hospital admissions identified through an Academic Health and Social Care Network

    PubMed Central

    2012-01-01

    Background Internationally health services are facing increasing demands due to new and more expensive health technologies and treatments, coupled with the needs of an ageing population. Reducing avoidable use of expensive secondary care services, especially high cost admissions where no procedure is carried out, has become a focus for the commissioners of healthcare. Method We set out to identify, evaluate and share learning about interventions to reduce avoidable hospital admission across a regional Academic Health and Social Care Network (AHSN). We conducted a service evaluation identifying initiatives that had taken place across the AHSN. This comprised a literature review, case studies, and two workshops. Results We identified three types of intervention: pre-hospital; within the emergency department (ED); and post-admission evaluation of appropriateness. Pre-hospital interventions included the use of predictive modelling tools (PARR – Patients at risk of readmission and ACG – Adjusted Clinical Groups) sometimes supported by community matrons or virtual wards. GP-advisers and outreach nurses were employed within the ED. The principal post-hoc interventions were the audit of records in primary care or the application of the Appropriateness Evaluation Protocol (AEP) within the admission ward. Overall there was a shortage of independent evaluation and limited evidence that each intervention had an impact on rates of admission. Conclusions Despite the frequency and cost of emergency admission there has been little independent evaluation of interventions to reduce avoidable admission. Commissioners of healthcare should consider interventions at all stages of the admission pathway, including regular audit, to ensure admission thresholds don’t change. PMID:22682525

  6. How and What Do Academics Learn through Their Personal Networks

    ERIC Educational Resources Information Center

    Pataraia, Nino; Margaryan, Anoush; Falconer, Isobel; Littlejohn, Allison

    2015-01-01

    This paper investigates the role of personal networks in academics' learning in relation to teaching. Drawing on in-depth interviews with 11 academics, this study examines, first, how and what academics learn through their personal networks; second, the perceived value of networks in relation to academics' professional development; and, third,…

  7. [Social networks and medicine].

    PubMed

    Bastardot, F; Vollenweider, P; Marques-Vidal, P

    2015-11-04

    Social networks (social media or #SoMe) have entered medical practice within the last few years. These new media--like Twitter or Skype--enrich interactions among physicians (telemedicine), among physicians and patients (virtual consultations) and change the way of teaching medicine. They also entail new ethical, deontological and legal issues: the extension of the consultation area beyond the medical office and the access of information by third parties were recently debated. We develop here a review of some social networks with their characteristics, applications for medicine and limitations, and we offer some recommendations of good practice.

  8. Online Advertising in Social Networks

    NASA Astrophysics Data System (ADS)

    Bagherjeiran, Abraham; Bhatt, Rushi P.; Parekh, Rajesh; Chaoji, Vineet

    Online social networks offer opportunities to analyze user behavior and social connectivity and leverage resulting insights for effective online advertising. This chapter focuses on the role of social network information in online display advertising.

  9. Online social support networks.

    PubMed

    Mehta, Neil; Atreja, Ashish

    2015-04-01

    Peer support groups have a long history and have been shown to improve health outcomes. With the increasing familiarity with online social networks like Facebook and ubiquitous access to the Internet, online social support networks are becoming popular. While studies have shown the benefit of these networks in providing emotional support or meeting informational needs, robust data on improving outcomes such as a decrease in health services utilization or reduction in adverse outcomes is lacking. These networks also pose unique challenges in the areas of patient privacy, funding models, quality of content, and research agendas. Addressing these concerns while creating patient-centred, patient-powered online support networks will help leverage these platforms to complement traditional healthcare delivery models in the current environment of value-based care.

  10. Academic and social motives and drinking behavior.

    PubMed

    Vaughan, Ellen L; Corbin, William R; Fromme, Kim

    2009-12-01

    This longitudinal study of 1,447 first-time college students tested separate time-varying covariate models of the relations between academic and social motives/behaviors and alcohol use and related problems from senior year of high school through the end of the second year in college. Structural equation models identified small but significant inverse relations between academic motives/behaviors and alcohol use across all time points, with relations of somewhat larger magnitude between academic motives/behaviors and alcohol-related problems across all semesters other than senior year in high school. At all time points, there were much larger positive relations between social motives/behaviors and alcohol use across all semesters, with smaller but significant relations between social motives/behaviors and alcohol-related problems. Multi-group models found considerable consistency in the relations between motives/behaviors and alcohol-related outcomes across gender, race/ethnicity, and family history of alcohol problems, although academic motives/behaviors played a stronger protective role for women, and social motives were a more robust risk factor for Caucasian and Latino students and individuals with a positive family history of alcohol problems. Implications for alcohol prevention efforts among college students are discussed.

  11. Interests diffusion in social networks

    NASA Astrophysics Data System (ADS)

    D'Agostino, Gregorio; D'Antonio, Fulvio; De Nicola, Antonio; Tucci, Salvatore

    2015-10-01

    We provide a model for diffusion of interests in Social Networks (SNs). We demonstrate that the topology of the SN plays a crucial role in the dynamics of the individual interests. Understanding cultural phenomena on SNs and exploiting the implicit knowledge about their members is attracting the interest of different research communities both from the academic and the business side. The community of complexity science is devoting significant efforts to define laws, models, and theories, which, based on acquired knowledge, are able to predict future observations (e.g. success of a product). In the mean time, the semantic web community aims at engineering a new generation of advanced services by defining constructs, models and methods, adding a semantic layer to SNs. In this context, a leapfrog is expected to come from a hybrid approach merging the disciplines above. Along this line, this work focuses on the propagation of individual interests in social networks. The proposed framework consists of the following main components: a method to gather information about the members of the social networks; methods to perform some semantic analysis of the Domain of Interest; a procedure to infer members' interests; and an interests evolution theory to predict how the interests propagate in the network. As a result, one achieves an analytic tool to measure individual features, such as members' susceptibilities and authorities. Although the approach applies to any type of social network, here it is has been tested against the computer science research community. The DBLP (Digital Bibliography and Library Project) database has been elected as test-case since it provides the most comprehensive list of scientific production in this field.

  12. Using Social Networking in the Library

    ERIC Educational Resources Information Center

    Lindsay, Elizabeth Blakesley

    2009-01-01

    With celebrities discussing Twitter on television talk shows, Facebook being used by people to share pictures of their grandchildren, and academic seminars being delivered in Second Life, it is hard to get through a day without being faced with some sort of social networking tool. Librarians often talk about the importance of outreach and of…

  13. The Social Network Classroom

    NASA Astrophysics Data System (ADS)

    Bunus, Peter

    Online social networking is an important part in the everyday life of college students. Despite the increasing popularity of online social networking among students and faculty members, its educational benefits are largely untested. This paper presents our experience in using social networking applications and video content distribution websites as a complement of traditional classroom education. In particular, the solution has been based on effective adaptation, extension and integration of Facebook, Twitter, Blogger YouTube and iTunes services for delivering educational material to students on mobile platforms like iPods and 3 rd generation mobile phones. The goals of the proposed educational platform, described in this paper, are to make the learning experience more engaging, to encourage collaborative work and knowledge sharing among students, and to provide an interactive platform for the educators to reach students and deliver lecture material in a totally new way.

  14. Social networking and adolescents.

    PubMed

    Fuld, Gilbert L

    2009-04-01

    Online social networking is a 21st century innovation increasingly embraced by today's young people. It provides new opportunities for communication that expand an adolescent's world. Yet adults, often suspicious of new trends and technologies initially embraced by youth, often see these new environments as perilous places to visit. These fears have been accentuated by media hype, especially about sexual predators. How dangerous are they? Because the rush to go on these sites is a new phenomenon, research is as yet scant. This review explores current beliefs and knowledge about the dangers of social networking sites.

  15. Social Network Infiltration

    NASA Astrophysics Data System (ADS)

    Plait, Philip

    2008-05-01

    Social networks are websites (or software that distributes media online) where users can distribute content to either a list of friends on that site or to anyone who surfs onto their page, and where those friends can interact and discuss the content. By linking to friends online, the users’ personal content (pictures, songs, favorite movies, diaries, websites, and so on) is dynamically distributed, and can "become viral", that is, get spread rapidly as more people see it and spread it themselves. Social networks are immensely popular around the planet, especially with younger users. The biggest social networks are Facebook and MySpace; an IYA2009 user already exists on Facebook, and one will be created for MySpace (in fact, several NASA satellites such as GLAST and Swift already have successful MySpace pages). Twitter is another network where data distribution is more limited; it is more like a mini-blog, but is very popular. IYA2009 already has a Twitter page, and will be updated more often with relevant information. In this talk I will review the existing social networks, show people how and why they are useful, and give them the tools they need to contribute meaningfully to IYA's online reach.

  16. Social Networking Technologies

    DTIC Science & Technology

    2015-01-01

    pushed the communist party from power in Moldova in 2009. Many have also argued that social networking technology played a vital role in the Arab Spring...Constant Connection. New York, NY: HarperCollins, 2015. Cross-References: Arab Spring Barack Obama Facebook Katz v. United States MySpace

  17. Phagebook: The Social Network.

    PubMed

    Hynes, Alexander P; Moineau, Sylvain

    2017-03-16

    Much like social networks are used to connect with friends or relatives, bacteria communicate with relatives through quorum sensing. Viruses, though, were thought to be asocial-until now. Erez et al. (2017) reveal that viruses are also sharing information with relatives.

  18. The Analysis of Social Networks.

    PubMed

    O'Malley, A James; Marsden, Peter V

    2008-12-01

    Many questions about the social organization of medicine and health services involve interdependencies among social actors that may be depicted by networks of relationships. Social network studies have been pursued for some time in social science disciplines, where numerous descriptive methods for analyzing them have been proposed. More recently, interest in the analysis of social network data has grown among statisticians, who have developed more elaborate models and methods for fitting them to network data. This article reviews fundamentals of, and recent innovations in, social network analysis using a physician influence network as an example. After introducing forms of network data, basic network statistics, and common descriptive measures, it describes two distinct types of statistical models for network data: individual-outcome models in which networks enter the construction of explanatory variables, and relational models in which the network itself is a multivariate dependent variable. Complexities in estimating both types of models arise due to the complex correlation structures among outcome measures.

  19. Computer Mediated Communication for Social and Academic Purposes: Profiles of Use and University Students' Gratifications

    ERIC Educational Resources Information Center

    Vrocharidou, Anatoli; Efthymiou, Ilias

    2012-01-01

    The present study approaches the Internet as a social space, where university students make use of computer mediated communication (CMC) applications, i.e. e-mail, instant messaging and social network sites, in order to satisfy social and academic needs. We focus on university students, because they represent one of the most avid groups of CMC…

  20. Promoting Social Network Awareness: A Social Network Monitoring System

    ERIC Educational Resources Information Center

    Cadima, Rita; Ferreira, Carlos; Monguet, Josep; Ojeda, Jordi; Fernandez, Joaquin

    2010-01-01

    To increase communication and collaboration opportunities, members of a community must be aware of the social networks that exist within that community. This paper describes a social network monitoring system--the KIWI system--that enables users to register their interactions and visualize their social networks. The system was implemented in a…

  1. Online social networking for radiology.

    PubMed

    Auffermann, William F; Chetlen, Alison L; Colucci, Andrew T; DeQuesada, Ivan M; Grajo, Joseph R; Heller, Matthew T; Nowitzki, Kristina M; Sherry, Steven J; Tillack, Allison A

    2015-01-01

    Online social networking services have changed the way we interact as a society and offer many opportunities to improve the way we practice radiology and medicine in general. This article begins with an introduction to social networking. Next, the latest advances in online social networking are reviewed, and areas where radiologists and clinicians may benefit from these new tools are discussed. This article concludes with several steps that the interested reader can take to become more involved in online social networking.

  2. Towards a Social Networks Model for Online Learning & Performance

    ERIC Educational Resources Information Center

    Chung, Kon Shing Kenneth; Paredes, Walter Christian

    2015-01-01

    In this study, we develop a theoretical model to investigate the association between social network properties, "content richness" (CR) in academic learning discourse, and performance. CR is the extent to which one contributes content that is meaningful, insightful and constructive to aid learning and by social network properties we…

  3. Formal and Informal Academic Language Socialization of a Bilingual Child

    ERIC Educational Resources Information Center

    Cho, Hyonsuk

    2016-01-01

    This ethnographic case study examines a bilingual child's academic socialization in both formal and informal academic communities. The study follows a high-achieving, bilingual student in a public US elementary school, who paradoxically is seen as a slow learner in her Korean-American Sunday school. From the academic socialization and community of…

  4. Academic Social Climate--A Key Aspect in Architectural Studies

    ERIC Educational Resources Information Center

    Davidovitch, Nitza; Casakin, Hernan

    2015-01-01

    The present research investigates academic social climate in architectural studies as perceived by students. It studies the importance that the various measures of academic social climate have in the studio and in architectural classes. It also investigates the relation between the personal background of students and their sense of academic social…

  5. Magnets and Seekers: A Network Perspective on Academic Integration inside Two Residential Communities

    ERIC Educational Resources Information Center

    Smith, Rachel A.

    2015-01-01

    Residential learning communities aim to foster increased academic and social integration, ideally leading to greater student success. However, the concept of academic integration is often conceptualized and measured at the individual level, rather than the theoretically more consistent community level. Network analysis provides a paradigm and…

  6. Collaboration in social networks

    PubMed Central

    Dall’Asta, Luca; Marsili, Matteo; Pin, Paolo

    2012-01-01

    The very notion of social network implies that linked individuals interact repeatedly with each other. This notion allows them not only to learn successful strategies and adapt to them, but also to condition their own behavior on the behavior of others, in a strategic forward looking manner. Game theory of repeated games shows that these circumstances are conducive to the emergence of collaboration in simple games of two players. We investigate the extension of this concept to the case where players are engaged in a local contribution game and show that rationality and credibility of threats identify a class of Nash equilibria—that we call “collaborative equilibria”—that have a precise interpretation in terms of subgraphs of the social network. For large network games, the number of such equilibria is exponentially large in the number of players. When incentives to defect are small, equilibria are supported by local structures whereas when incentives exceed a threshold they acquire a nonlocal nature, which requires a “critical mass” of more than a given fraction of the players to collaborate. Therefore, when incentives are high, an individual deviation typically causes the collapse of collaboration across the whole system. At the same time, higher incentives to defect typically support equilibria with a higher density of collaborators. The resulting picture conforms with several results in sociology and in the experimental literature on game theory, such as the prevalence of collaboration in denser groups and in the structural hubs of sparse networks. PMID:22383559

  7. The Impact of Children's Social Adjustment on Academic Outcomes

    PubMed Central

    DeRosier, Melissa E.; Lloyd, Stacey W.

    2011-01-01

    This study tested whether social adjustment added to the prediction of academic outcomes above and beyond prior academic functioning. School records and peer-, teacher-, and self-report measures were collected for 1,255 third grade children in the fall and spring of the school year. Social acceptance by and aggression with peers were included as measures of social adjustment. Academic outcomes included math and reading GPA, classroom behavior, academic self-esteem, and absenteeism. As expected, support for the causal model was found where both forms of social adjustment contributed independently to the prediction of each area of academic adjustment. Gender differences in the patterns of results were present, particularly for the impact of aggression on academic adjustment. Discussion focuses on the implications for social-emotional literacy programs to prevent negative academic outcomes. PMID:21603062

  8. Applications of Social Network Analysis

    NASA Astrophysics Data System (ADS)

    Thilagam, P. Santhi

    A social network [2] is a description of the social structure between actors, mostly persons, groups or organizations. It indicates the ways in which they are connected with each other by some relationship such as friendship, kinship, finance exchange etc. In a nutshell, when the person uses already known/unknown people to create new contacts, it forms social networking. The social network is not a new concept rather it can be formed when similar people interact with each other directly or indirectly to perform particular task. Examples of social networks include a friendship networks, collaboration networks, co-authorship networks, and co-employees networks which depict the direct interaction among the people. There are also other forms of social networks, such as entertainment networks, business Networks, citation networks, and hyperlink networks, in which interaction among the people is indirect. Generally, social networks operate on many levels, from families up to the level of nations and assists in improving interactive knowledge sharing, interoperability and collaboration.

  9. Social Adjustment and Academic Achievement: A Predictive Model for Students with Diverse Academic and Behavior Competencies

    ERIC Educational Resources Information Center

    Ray, Corey E.; Elliott, Stephen N.

    2006-01-01

    This study examined the hypothesized relationship between social adjustment, as measured by perceived social support, self-concept, and social skills, and performance on academic achievement tests. Participants included 27 teachers and 77 fourth- and eighth-grade students with diverse academic and behavior competencies. Teachers were asked to…

  10. From a Social Digital Identity to an Academic Digital Identity: Introducing ePortfolios in English Language Enhancement Courses

    ERIC Educational Resources Information Center

    Hiradhar, Preet; Gray, Jeremy

    2008-01-01

    Social digital networking is a facet of living that recognizes no national borders or social boundaries and has become a way of life. This paper investigates the social networking habits of students at Lingnan University and considers how these habits can be channelled for academic purposes by introducing an ePortfolio system into their language…

  11. Underage Children and Social Networking

    ERIC Educational Resources Information Center

    Weeden, Shalynn; Cooke, Bethany; McVey, Michael

    2013-01-01

    Despite minimum age requirements for joining popular social networking services such as Facebook, many students misrepresent their real ages and join as active participants in the networks. This descriptive study examines the use of social networking services (SNSs) by children under the age of 13. The researchers surveyed a sample of 199…

  12. Assessing Student Learning in Academic Advising Using Social Cognitive Theory

    ERIC Educational Resources Information Center

    Erlich, Richard J.; Russ-Eft, Darlene F.

    2013-01-01

    We investigated whether the social cognitive theory constructs of self-efficacy and self-regulated learning apply to academic advising for measuring student learning outcomes. Community college students (N = 120) participated in an individual academic-advising session. We assessed students' post-intervention self-efficacy in academic planning and…

  13. Effective Governance in a State Academic Network: The Experience of the Network of Alabama Academic Libraries.

    ERIC Educational Resources Information Center

    Medina, Sue O.; Highfill, William C.

    1992-01-01

    Describes the development of the Network of Alabama Academic Libraries (NAAL). Membership parameters are described; voting representation and governance is discussed; the organizational structure is explained; funding is examined; and factors contributing to the success of NAAL are considered, including a mix of short- and long-term goals and…

  14. Understanding Roles of Social Media in Academic Engagement and Satisfaction for Graduate Students

    SciTech Connect

    Han, Kyungsik; Volkova, Svitlana; Corley, Courtney D.

    2016-05-07

    Research indicates positive effects of social media in academia and education. However its main populations have been faculty, teachers, high school or college students, and its primary contexts have been course or classroom settings. We realized there exists a lack of studies on how Ph.D. (broadly graduate) students use social media for academic purposes and how its use is associated with academic motivation, engagement, and satisfaction, which are salient factors for the success of their graduate degrees and life. Based on the survey responses from 91 current Ph.D. students, our study results highlight that (1) students mainly use social media for broadcasting and keeping up with up-to-date academic and research information; yet, making connections and developing professional networks is one of the primary reasons, and (2) social media use is positively associated with their academic engagement and satisfaction. We discuss implications and future work of our study.

  15. Churn in Social Networks

    NASA Astrophysics Data System (ADS)

    Karnstedt, Marcel; Hennessy, Tara; Chan, Jeffrey; Basuchowdhuri, Partha; Hayes, Conor; Strufe, Thorsten

    In the past, churn has been identified as an issue across most industry sectors. In its most general sense it refers to the rate of loss of customers from a company's customer base. There is a simple reason for the attention churn attracts: churning customers mean a loss of revenue. Emerging from business spaces like telecommunications (telcom) and broadcast providers, where churn is a major issue, it is also regarded as a crucial problem in many other businesses, such as online games creators, but also online social networks and discussion sites. Companies aim at identifying the risk of churn in its early stages, as it is usually much cheaper to retain a customer than to try to win him or her back. If this risk can be accurately predicted, marketing departments can target customers efficiently with tailored incentives to prevent them from leaving.

  16. Early Career Academic Staff Support: Evaluating Mentoring Networks

    ERIC Educational Resources Information Center

    Thomas, J. Denard; Lunsford, Laura Gail; Rodrigues, Helena A.

    2015-01-01

    Which academics benefit from participation in formal mentoring programmes? This study examined the needs and mentoring networks of new academics with evaluative data from a pilot mentoring programme. Themes from these data point towards re-envisioning initiatives for academic staff development. First, an examination of the expansion of mentoring…

  17. A Social Networks in Education

    ERIC Educational Resources Information Center

    Klimova, Blanka; Poulova, Petra

    2015-01-01

    At present social networks are becoming important in all areas of human activities. They are simply part and parcel of everyday life. They are mostly used for advertising, but they have already found their way into education. The future potential of social networks is high as it can be seen from their statistics on a daily, monthly or yearly…

  18. Social Networking Goes to School

    ERIC Educational Resources Information Center

    Davis, Michelle R.

    2010-01-01

    Just a few years ago, social networking meant little more to educators than the headache of determining whether to penalize students for inappropriate activities captured on Facebook or MySpace. Now, teachers and students have an array of social-networking sites and tools--from Ning to VoiceThread and Second Life--to draw on for such serious uses…

  19. Effects of Social Capital on Academic Success: A Narrative Synthesis

    ERIC Educational Resources Information Center

    Acar, Erkan

    2011-01-01

    Many researchers link social capital theory to education and commonly use examples from the field of education to examine social capital theory. Accordingly, they accept that reflections and contributions of social capital can be observed in the field of education. This paper examines social capital's effects on academic success in education. In…

  20. Linking academic social environments, ego-identity formation, ego virtues, and academic success.

    PubMed

    Good, Marie; Adams, Gerald R

    2008-01-01

    This study used Structural Equation Modeling to test an Eriksonian conceptual model linking academic social environments (relationships with faculty and fellow students), ego-identity formation, ego virtues, and academic success. Participants included 765 first-year students at a university in southern Ontario, Canada. Results indicated that supportive relationships with faculty was directly related to higher average grades and perceived academic ability, whereas positive relationships with fellow students was indirectly related to academic success through ego virtues. Positive ego-identity formation (identity achievement) was also indirectly related to academic success through ego virtues.

  1. The social ties that bind: social anxiety and academic achievement across the university years.

    PubMed

    Brook, Christina A; Willoughby, Teena

    2015-05-01

    Given that engagement and integration in university/college are considered key to successful academic achievement, the identifying features of social anxiety, including fear of negative evaluation and distress and avoidance of new or all social situations, may be particularly disadvantageous in the social and evaluative contexts that are integral to university/college life. Thus, the purpose of this study was to examine the direct effects of social anxiety on academic achievement, as well as investigate an indirect mechanism through which social anxiety might impact on academic achievement, namely, the formation of new social ties in university. The participants were 942 (71.7 % female; M = 19 years at Time 1) students enrolled in a mid-sized university in Southern Ontario, Canada. Students completed annual assessments of social anxiety, social ties, and academic achievement for three consecutive years. The results from an autoregressive cross-lag path analysis indicated that social anxiety had a significant and negative direct relationship with academic achievement. Moreover, the negative indirect effect of social anxiety on academic achievement through social ties was significant, as was the opposing direction of effects (i.e., the indirect effect of academic achievement on social anxiety through social ties). These findings highlight the critical role that social ties appear to play in successful academic outcomes and in alleviating the effects of social anxiety during university/college.

  2. Social Disadvantage and Network Turnover

    PubMed Central

    2015-01-01

    Objectives. Research shows that socially disadvantaged groups—especially African Americans and people of low socioeconomic status (SES)—experience more unstable social environments. I argue that this causes higher rates of turnover within their personal social networks. This is a particularly important issue among disadvantaged older adults, who may benefit from stable networks. This article, therefore, examines whether social disadvantage is related to various aspects of personal network change. Method. Social network change was assessed using longitudinal egocentric network data from the National Social Life, Health, and Aging Project, a study of older adults conducted between 2005 and 2011. Data collection in Wave 2 included a technique for comparing respondents’ confidant network rosters between waves. Rates of network losses, deaths, and additions were modeled using multivariate Poisson regression. Results. African Americans and low-SES individuals lost more confidants—especially due to death—than did whites and college-educated respondents. African Americans also added more confidants than whites. However, neither African Americans nor low-SES individuals were able to match confidant losses with new additions to the extent that others did, resulting in higher levels of confidant network shrinkage. These trends are partly, but not entirely, explained by disadvantaged individuals’ poorer health and their greater risk of widowhood or marital dissolution. Discussion. Additional work is needed to shed light on the role played by race- and class-based segregation on group differences in social network turnover. Social gerontologists should examine the role these differences play in explaining the link between social disadvantage and important outcomes in later life, such as health decline. PMID:24997286

  3. Social networks and neurological illness.

    PubMed

    Dhand, Amar; Luke, Douglas A; Lang, Catherine E; Lee, Jin-Moo

    2016-10-01

    Every patient is embedded in a social network of interpersonal connections that influence health outcomes. Neurologists routinely need to engage with a patient's family and friends due to the nature of the illness and its social sequelae. Social isolation is a potent determinant of poor health and neurobiological changes, and its effects can be comparable to those of traditional risk factors. It would seem reasonable, therefore, to map and follow the personal networks of neurology patients. This approach reveals influential people, their habits, and linkage patterns that could facilitate or limit health behaviours. Personal network information can be particularly valuable to enhance risk factor management, medication adherence, and functional recovery. Here, we propose an agenda for research and clinical practice that includes mapping the networks of patients with diverse neurological disorders, evaluating the impact of the networks on patient outcomes, and testing network interventions.

  4. Introduction to Social Network Analysis

    NASA Astrophysics Data System (ADS)

    Zaphiris, Panayiotis; Ang, Chee Siang

    Social Network analysis focuses on patterns of relations between and among people, organizations, states, etc. It aims to describe networks of relations as fully as possible, identify prominent patterns in such networks, trace the flow of information through them, and discover what effects these relations and networks have on people and organizations. Social network analysis offers a very promising potential for analyzing human-human interactions in online communities (discussion boards, newsgroups, virtual organizations). This Tutorial provides an overview of this analytic technique and demonstrates how it can be used in Human Computer Interaction (HCI) research and practice, focusing especially on Computer Mediated Communication (CMC). This topic acquires particular importance these days, with the increasing popularity of social networking websites (e.g., youtube, myspace, MMORPGs etc.) and the research interest in studying them.

  5. Line graphs as social networks

    NASA Astrophysics Data System (ADS)

    Krawczyk, M. J.; Muchnik, L.; Mańka-Krasoń, A.; Kułakowski, K.

    2011-07-01

    It was demonstrated recently that the line graphs are clustered and assortative. These topological features are known to characterize some social networks [M.E.J. Newman, Y. Park, Why social networks are different from other types of networks, Phys. Rev. E 68 (2003) 036122]; it was argued that this similarity reveals their cliquey character. In the model proposed here, a social network is the line graph of an initial network of families, communities, interest groups, school classes and small companies. These groups play the role of nodes, and individuals are represented by links between these nodes. The picture is supported by the data on the LiveJournal network of about 8×10 6 people.

  6. The Possibilities of Network Sociality

    NASA Astrophysics Data System (ADS)

    Willson, Michele

    Technologically networked social forms are broad, extensive and in demand. The rapid development and growth of web 2.0, or the social web, is evidence of the need and indeed hunger for social connectivity: people are searching for many and varied ways of enacting being-together. However, the ways in which we think of, research and write about network(ed) sociality are relatively recent and arguably restricted, warranting further critique and development. This article attempts to do several things: it raises questions about the types of sociality enacted in contemporary techno-society; critically explores the notion of the networked individual and the focus on the individual evident in much of the technology and sociality literature and asks questions about the place of the social in these discussions. It argues for a more well-balanced and multilevelled approach to questions of sociality in networked societies. The article starts from the position that possibilities enabled/afforded by the technologies we have in place have an effect upon the ways in which we understand being in the world together and our possible actions and futures. These possibilities are more than simply supplementary; in many ways they are transformative. The ways in which we grapple with these questions reveals as much about our understandings of sociality as it does about the technologies themselves.

  7. The Influence of Protege-Mentor Relationships and Social Networks on Women Doctoral Students' Academic Career Aspirations in Physical Sciences and Engineering

    ERIC Educational Resources Information Center

    Gu, Yu

    2012-01-01

    Physical sciences and engineering doctoral programs serve as the most important conduit through which future academics are trained and prepared in these disciplines. This study examined women doctoral students' protege-mentor relationships in Physical sciences and engineering programs. Particularly, the study examined the influence of such…

  8. Social Factors That Predict Fear of Academic Success

    ERIC Educational Resources Information Center

    Gore, Jonathan S.; Thomas, Jessica; Jones, Stevy; Mahoney, Lauren; Dukes, Kristina; Treadway, Jodi

    2016-01-01

    Fear of academic success is ultimately a fear of social exclusion. Therefore, various forms of social inclusion may alleviate this fear. Three studies tested the hypothesis that social inclusion variables negatively predict fear of success. In Study 1, middle and high school students (n = 129) completed surveys of parental involvement, parental…

  9. Online Identities and Social Networking

    NASA Astrophysics Data System (ADS)

    Maheswaran, Muthucumaru; Ali, Bader; Ozguven, Hatice; Lord, Julien

    Online identities play a critical role in the social web that is taking shape on the Internet. Despite many technical proposals for creating and managing online identities, none has received widespread acceptance. Design and implementation of online identities that are socially acceptable on the Internet remains an open problem. This chapter discusses the interplay between online identities and social networking. Online social networks (OSNs) are growing at a rapid pace and has millions of members in them. While the recent trend is to create explicit OSNs such as Facebook and MySpace, we also have implicit OSNs such as interaction graphs created by email and instant messaging services. Explicit OSNs allow users to create profiles and use them to project their identities on the web. There are many interesting identity related issues in the context of social networking including how OSNs help and hinder the definition of online identities.

  10. Linking Academic Social Environments, Ego-Identity Formation, Ego Virtues, and Academic Success

    ERIC Educational Resources Information Center

    Good, Marie; Adams, Gerald R.

    2008-01-01

    This study used Structural Equation Modeling to test an Eriksonian conceptual model linking academic social environments (relationships with faculty and fellow students), ego-identity formation, ego virtues, and academic success. Participants included 765 first-year students at a university in southern Ontario, Canada. Results indicated that…

  11. Academic Libraries: "Social" or "Communal?" The Nature and Future of Academic Libraries

    ERIC Educational Resources Information Center

    Gayton, Jeffrey T.

    2008-01-01

    The apparent death of academic libraries, as measured by declining circulation of print materials, reduced use of reference services, and falling gate counts, has led to calls for a more "social" approach to academic libraries: installing cafes, expanding group study spaces, and developing "information commons." This study compares these social…

  12. Socialization to Academic Language in a Kindergarten Classroom

    ERIC Educational Resources Information Center

    Gallagher, Colleen

    2016-01-01

    Recognizing the importance of academic language for students' success in schools, this article reports on an investigation of how narrative-focused literacy events in the classroom provide opportunities for academic language socialization. Data were collected from one public elementary school in a major metropolitan area in the Mid-Atlantic region…

  13. Students as Spectators: Their Academic and Social Integration

    ERIC Educational Resources Information Center

    Clopton, Aaron

    2009-01-01

    There is extensive research literature addressing the impact that the college experience has on students, linking the campus environment to their persistence and graduation, satisfaction, sense of community, academic and social integration, and academic performance. Researchers have yet to fully address the connection between students identifying…

  14. Children's Effortful Control and Academic Achievement: Mediation through Social Functioning

    ERIC Educational Resources Information Center

    Valiente, Carlos; Eisenberg, Nancy; Haugen, Rg; Spinrad, Tracy L.; Hofer, Claire; Liew, Jeffrey; Kupfer, Anne

    2011-01-01

    Research Findings: The purpose of this study was to test the premise that children's effortful control (EC) is prospectively related to their academic achievement and to specify mechanisms through which EC is related to academic success. We used data from 214 children (M age at Time 1 [T1] = 73 months) to test whether social functioning (e.g.,…

  15. Social Competence, Social Support, and Academic Achievement in Minority, Low-Income, Urban Elementary School Children

    ERIC Educational Resources Information Center

    Elias, Maurice J.; Haynes, Norris M.

    2008-01-01

    Despite living in disadvantaged urban communities experiencing social and economic hardships, many children emerge with positive outcomes. Social-emotional competence and social support were hypothesized to have strong influences on academic trajectories during the critical period of academic skill acquisition. Participants were 282 third-grade…

  16. Variables affecting the academic and social integration of nursing students.

    PubMed

    Zeitlin-Ophir, Iris; Melitz, Osnat; Miller, Rina; Podoshin, Pia; Mesh, Gustavo

    2004-07-01

    This study attempted to analyze the variables that influence the academic integration of nursing students. The theoretical model presented by Leigler was adapted to the existing conditions in a school of nursing in northern Israel. The independent variables included the student's background; amount of support received in the course of studies; extent of outside family and social commitments; satisfaction with the school's facilities and services; and level of social integration. The dependent variable was the student's level of academic integration. The findings substantiated four central hypotheses, with the study model explaining approximately 45% of the variance in the dependent variable. Academic integration is influenced by a number of variables, the most prominent of which is the social integration of the student with colleagues and educational staff. Among the background variables, country of origin was found to be significant to both social and academic integration for two main groups in the sample: Israeli-born students (both Jewish and Arab) and immigrant students.

  17. Measurement of Online Social Networks

    ERIC Educational Resources Information Center

    Gjoka, Mina

    2010-01-01

    In recent years, the popularity of online social networks (OSN) has risen to unprecedented levels, with the most popular ones having hundreds of millions of users. This success has generated interest within the networking community and has given rise to a number of measurement and characterization studies, which provide a first step towards their…

  18. Are Students Really Connected? Predicting College Adjustment from Social Network Usage

    ERIC Educational Resources Information Center

    Raacke, John; Bonds-Raacke, Jennifer

    2015-01-01

    The rapid growth in popularity of social networking sites has spurred research exploring the impact of usage in a variety of areas. The current study furthered this line of research by examining the relationships between social network usage and adjustment to college in the academic, social, personal-emotional and university affiliation domains.…

  19. The Role of Transnational Networking for Higher Education Academics

    ERIC Educational Resources Information Center

    Wakefield, Kelly; Dismore, Harriet

    2015-01-01

    Amidst rapid socio-economic change, higher education (HE) academics across the world face major challenges to its organisation, finance and management. This paper discusses the role of transnational networking in higher education. Data from 40 interviews with geographically distributed academics engaged in learning and teaching transnational…

  20. Productive Tensions in a Cross-Cultural Peer Mentoring Women's Network: A Social Capital Perspective

    ERIC Educational Resources Information Center

    Esnard, Talia; Cobb-Roberts, Deirdre; Agosto, Vonzell; Karanxha, Zorka; Beck, Makini; Wu, Ke; Unterreiner, Ann

    2015-01-01

    A growing body of researchers documents the unique barriers women face in their academic career progression and the significance of mentoring networks for advancement of their academic trajectories as faculty. However, few researchers explore the embedded tensions and conflicts in the social processes and relations of mentoring networks, and the…

  1. Assortative model for social networks

    NASA Astrophysics Data System (ADS)

    Catanzaro, Michele; Caldarelli, Guido; Pietronero, Luciano

    2004-09-01

    In this Brief Report we present a version of a network growth model, generalized in order to describe the behavior of social networks. The case of study considered is the preprint archive at cul.arxiv.org. Each node corresponds to a scientist, and a link is present whenever two authors wrote a paper together. This graph is a nice example of degree-assortative network, that is, to say a network where sites with similar degree are connected to each other. The model presented is one of the few able to reproduce such behavior, giving some insight on the microscopic dynamics at the basis of the graph structure.

  2. Online Social Networks and Computer Skills of University Students

    ERIC Educational Resources Information Center

    Barbas, Maria Potes; Valerio, Gabriel; Rodríguez-Martínez, María del Carmen; Herrera-Murillo, Dagoberto José; Belmonte-Jiménez, Ana María

    2014-01-01

    Currently a large number of college students belong to social networks and spend several hours a week on them. Some sectors of society, like parents and teachers, are concerned about the negative impact on their academic work and in their personal lives. However, because the potential positive impacts have not been explored enough, this research…

  3. Social networks and environmental outcomes.

    PubMed

    Barnes, Michele L; Lynham, John; Kalberg, Kolter; Leung, PingSun

    2016-06-07

    Social networks can profoundly affect human behavior, which is the primary force driving environmental change. However, empirical evidence linking microlevel social interactions to large-scale environmental outcomes has remained scarce. Here, we leverage comprehensive data on information-sharing networks among large-scale commercial tuna fishers to examine how social networks relate to shark bycatch, a global environmental issue. We demonstrate that the tendency for fishers to primarily share information within their ethnic group creates segregated networks that are strongly correlated with shark bycatch. However, some fishers share information across ethnic lines, and examinations of their bycatch rates show that network contacts are more strongly related to fishing behaviors than ethnicity. Our findings indicate that social networks are tied to actions that can directly impact marine ecosystems, and that biases toward within-group ties may impede the diffusion of sustainable behaviors. Importantly, our analysis suggests that enhanced communication channels across segregated fisher groups could have prevented the incidental catch of over 46,000 sharks between 2008 and 2012 in a single commercial fishery.

  4. Rumor evolution in social networks

    NASA Astrophysics Data System (ADS)

    Zhang, Yichao; Zhou, Shi; Zhang, Zhongzhi; Guan, Jihong; Zhou, Shuigeng

    2013-03-01

    The social network is a main tunnel of rumor spreading. Previous studies concentrated on a static rumor spreading. The content of the rumor is invariable during the whole spreading process. Indeed, the rumor evolves constantly in its spreading process, which grows shorter, more concise, more easily grasped, and told. In an early psychological experiment, researchers found about 70% of details in a rumor were lost in the first six mouth-to-mouth transmissions. Based on these observations, we investigate rumor spreading on social networks, where the content of the rumor is modified by the individuals with a certain probability. In the scenario, they have two choices, to forward or to modify. As a forwarder, an individual disseminates the rumor directly to their neighbors. As a modifier, conversely, an individual revises the rumor before spreading it out. When the rumor spreads on the social networks, for instance, scale-free networks and small-world networks, the majority of individuals actually are infected by the multirevised version of the rumor, if the modifiers dominate the networks. The individuals with more social connections have a higher probability to receive the original rumor. Our observation indicates that the original rumor may lose its influence in the spreading process. Similarly, a true information may turn out to be a rumor as well. Our result suggests the rumor evolution should not be a negligible question, which may provide a better understanding of the generation and destruction of a rumor.

  5. Social networks and environmental outcomes

    PubMed Central

    Kalberg, Kolter; Leung, PingSun

    2016-01-01

    Social networks can profoundly affect human behavior, which is the primary force driving environmental change. However, empirical evidence linking microlevel social interactions to large-scale environmental outcomes has remained scarce. Here, we leverage comprehensive data on information-sharing networks among large-scale commercial tuna fishers to examine how social networks relate to shark bycatch, a global environmental issue. We demonstrate that the tendency for fishers to primarily share information within their ethnic group creates segregated networks that are strongly correlated with shark bycatch. However, some fishers share information across ethnic lines, and examinations of their bycatch rates show that network contacts are more strongly related to fishing behaviors than ethnicity. Our findings indicate that social networks are tied to actions that can directly impact marine ecosystems, and that biases toward within-group ties may impede the diffusion of sustainable behaviors. Importantly, our analysis suggests that enhanced communication channels across segregated fisher groups could have prevented the incidental catch of over 46,000 sharks between 2008 and 2012 in a single commercial fishery. PMID:27217551

  6. Depressive Mood and Social Maladjustment: Differential Effects on Academic Achievement

    ERIC Educational Resources Information Center

    Aluja, Anton; Blanch, Angel

    2004-01-01

    The Children Depression Inventory (CDI) is a multidimensional instrument that includes items of social withdrawal, anhedonia, asthenia, low self-esteem (internalized) and behavioral problems (externalized). Child depression has been related with low academic achievement, neurotic and introverted personality traits and social maladjustment defined…

  7. Networks in Social Policy Problems

    NASA Astrophysics Data System (ADS)

    Vedres, Balázs; Scotti, Marco

    2012-08-01

    1. Introduction M. Scotti and B. Vedres; Part I. Information, Collaboration, Innovation: The Creative Power of Networks: 2. Dissemination of health information within social networks C. Dhanjal, S. Blanchemanche, S. Clemençon, A. Rona-Tas and F. Rossi; 3. Scientific teams and networks change the face of knowledge creation S. Wuchty, J. Spiro, B. F. Jones and B. Uzzi; 4. Structural folds: the innovative potential of overlapping groups B. Vedres and D. Stark; 5. Team formation and performance on nanoHub: a network selection challenge in scientific communities D. Margolin, K. Ognyanova, M. Huang, Y. Huang and N. Contractor; Part II. Influence, Capture, Corruption: Networks Perspectives on Policy Institutions: 6. Modes of coordination of collective action: what actors in policy making? M. Diani; 7. Why skewed distributions of pay for executives is the cause of much grief: puzzles and few answers so far B. Kogut and J.-S. Yang; 8. Networks of institutional capture: a case of business in the State apparatus E. Lazega and L. Mounier; 9. The social and institutional structure of corruption: some typical network configurations of corruption transactions in Hungary Z. Szántó, I. J. Tóth and S. Varga; Part III. Crisis, Extinction, World System Change: Network Dynamics on a Large Scale: 10. How creative elements help the recovery of networks after crisis: lessons from biology A. Mihalik, A. S. Kaposi, I. A. Kovács, T. Nánási, R. Palotai, Á. Rák, M. S. Szalay-Beko and P. Csermely; 11. Networks and globalization policies D. R. White; 12. Network science in ecology: the structure of ecological communities and the biodiversity question A. Bodini, S. Allesina and C. Bondavalli; 13. Supply security in the European natural gas pipeline network M. Scotti and B. Vedres; 14. Conclusions and outlook A.-L. Barabási; Index.

  8. Privacy Amplification with Social Networks

    NASA Astrophysics Data System (ADS)

    Nagaraja, Shishir

    There are a number of scenarios where users wishing to communicate, share a weak secret. Often, they are also part of a common social network. Connections (edges) from the social network are represented as shared link keys between participants (vertices). We propose mechanisms that utilise the graph topology of such a network, to increase the entropy of weak pre-shared secrets. Our proposal is based on using random walks to identify a chain of common acquaintances between Alice and Bob, each of which contribute entropy to the final key. Our mechanisms exploit one-wayness and convergence properties of Markovian random walks to, firstly, maximize the set of potential entropy contributors, and second, to resist any contribution from dubious sources such as Sybill sub-networks.

  9. Navigating Social Networks

    ERIC Educational Resources Information Center

    Hamblin, DeAnna; Bartlett, Marilyn J.

    2013-01-01

    The authors note that when it comes to balancing free speech and schools' responsibilities, the online world is largely uncharted waters. Questions remain about the rights of both students and teachers in the world of social media. Although the lower courts have ruled that students' freedom of speech rights offer them some protection for…

  10. Academic Social Cohesion within Higher Education

    ERIC Educational Resources Information Center

    Heuser, Brian L.

    2007-01-01

    This article explores the theoretical foundations of "social cohesion" as it relates to higher education institutions. In so doing it seeks (a) to understand the core elements of social cohesion--social capital, human capital and ethical behavioral norms that serve a common good--and (b) to establish a flexible framework for understanding the…

  11. Social University Challenge: Constructing Pragmatic Graduate Competencies for Social Networking

    ERIC Educational Resources Information Center

    Benson, Vladlena; Morgan, Stephanie

    2016-01-01

    With the strong acceptance of social technologies by student users, the academic applications have swiftly followed, bringing a social dimension into every area of university life. However, there have been concerns raised about the impact of social media on students. Some Universities have started including social media skills training in the…

  12. Predicting Academics via Behavior within an Elementary Sample: An Evaluation of the Social, Academic, and Emotional Behavior Risk Screener (SAEBRS)

    ERIC Educational Resources Information Center

    Kilgus, Stephen P.; Bowman, Nicollette A.; Christ, Theodore J.; Taylor, Crystal N.

    2017-01-01

    This study examined the extent to which teacher ratings of student behavior via the "Social, Academic, and Emotional Behavior Risk Screener" (SAEBRS) predicted academic achievement in math and reading. A secondary purpose was to compare the predictive capacity of three SAEBRS subscales corresponding to social, academic, or emotional…

  13. Online Social Networking Issues Within Academia and Pharmacy Education

    PubMed Central

    2008-01-01

    Online social networking sites such as Facebook and MySpace are extremely popular as indicated by the numbers of members and visits to the sites. They allow students to connect with users with similar interests, build and maintain relationships with friends, and feel more connected with their campus. The foremost criticisms of online social networking are that students may open themselves to public scrutiny of their online personas and risk physical safety by revealing excessive personal information. This review outlines issues of online social networking in higher education by drawing upon articles in both the lay press and academic publications. New points for pharmacy educators to consider include the possible emergence of an “e-professionalism” concept; legal and ethical implications of using online postings in admission, discipline, and student safety decisions; how online personas may blend into professional life; and the responsibility for educating students about the risks of online social networking. PMID:18322572

  14. Online social networking issues within academia and pharmacy education.

    PubMed

    Cain, Jeff

    2008-02-15

    Online social networking sites such as Facebook and MySpace are extremely popular as indicated by the numbers of members and visits to the sites. They allow students to connect with users with similar interests, build and maintain relationships with friends, and feel more connected with their campus. The foremost criticisms of online social networking are that students may open themselves to public scrutiny of their online personas and risk physical safety by revealing excessive personal information. This review outlines issues of online social networking in higher education by drawing upon articles in both the lay press and academic publications. New points for pharmacy educators to consider include the possible emergence of an "e-professionalism" concept; legal and ethical implications of using online postings in admission, discipline, and student safety decisions; how online personas may blend into professional life; and the responsibility for educating students about the risks of online social networking.

  15. Purity homophily in social networks.

    PubMed

    Dehghani, Morteza; Johnson, Kate; Hoover, Joe; Sagi, Eyal; Garten, Justin; Parmar, Niki Jitendra; Vaisey, Stephen; Iliev, Rumen; Graham, Jesse

    2016-03-01

    Does sharing moral values encourage people to connect and form communities? The importance of moral homophily (love of same) has been recognized by social scientists, but the types of moral similarities that drive this phenomenon are still unknown. Using both large-scale, observational social-media analyses and behavioral lab experiments, the authors investigated which types of moral similarities influence tie formations. Analysis of a corpus of over 700,000 tweets revealed that the distance between 2 people in a social-network can be predicted based on differences in the moral purity content-but not other moral content-of their messages. The authors replicated this finding by experimentally manipulating perceived moral difference (Study 2) and similarity (Study 3) in the lab and demonstrating that purity differences play a significant role in social distancing. These results indicate that social network processes reflect moral selection, and both online and offline differences in moral purity concerns are particularly predictive of social distance. This research is an attempt to study morality indirectly using an observational big-data study complemented with 2 confirmatory behavioral experiments carried out using traditional social-psychology methodology.

  16. Social inheritance can explain the structure of animal social networks.

    PubMed

    Ilany, Amiyaal; Akçay, Erol

    2016-06-28

    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.

  17. Social inheritance can explain the structure of animal social networks

    PubMed Central

    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

  18. Privacy and Social Networking Sites

    ERIC Educational Resources Information Center

    Timm, Dianne M.; Duven, Carolyn J.

    2008-01-01

    College students are relying on the Internet to make connections with other people every day. As the Internet has developed and grown, so have the capabilities for interaction. Social networking sites, a group of Web sites that provide people with the opportunity to create an online profile and to share that profile with others, are a part of…

  19. Social Networking: Keeping It Clean

    ERIC Educational Resources Information Center

    Waters, John K.

    2011-01-01

    The need to maintain an unpolluted learning environment is no easy task for schools and districts that have incorporated social networking sites into their educational life. The staff and teachers at Blaine High School in Minnesota's Anoka-Hennepin District 11 had been considering the pros and cons of establishing a school Facebook page when the…

  20. 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.

  1. Masculinity, Educational Achievement and Social Status: A Social Network Analysis

    ERIC Educational Resources Information Center

    Lusher, Dean

    2011-01-01

    This study utilises a quantitative case study social network approach to explore the connection between masculinity and scholastic achievement in two secondary, all-boys schools in Australia. In both schools two social networks representing social status are explored: the "friendship" network as a measure of status that includes…

  2. Social Networking: It's Not What You Think

    NASA Technical Reports Server (NTRS)

    Jones, Kevin D.

    2010-01-01

    This slide presentation reviews some of the current uses of the social networking sites available on the internet. It list some of the skills that are now considered obsolete and reviews the major social networking sites.

  3. Social Networks and Students' Performance in Secondary Schools: Lessons from an Open Learning Centre, Kenya

    ERIC Educational Resources Information Center

    Muhingi, Wilkins Ndege; Mutavi, Teresia; Kokonya, Donald; Simiyu, Violet Nekesa; Musungu, Ben; Obondo, Anne; Kuria, Mary Wangari

    2015-01-01

    Given the known positive and negative effects of uncontrolled social networking among secondary school students worldwide, it is necessary to establish the relationship between social network sites and academic performances among secondary school students. This study, therefore, aimed at establishing the relationship between secondary school…

  4. The Impact of Social Networking: A Study of the Influence of Smartphones on College Students

    ERIC Educational Resources Information Center

    Al-Harrasi, Abir S.; Al-Badi, Ali H.

    2014-01-01

    The use of social networking by college students has become increasingly relevant to their academic lives. Smartphones have added great potential by enabling an increase in the use of social networking and in the number of hours spent on such sites. Being online for a long time and being able to access different information from different sources…

  5. Academic Support Systems: A Networked Approach.

    ERIC Educational Resources Information Center

    Klingenstein, Kenneth

    1984-01-01

    Academic support systems are characterized as those activities that center around a dean's office--office automation/information systems, institutional research and electronic communication. The basic and design and implementation issues that are encountered in providing these support systems are examined. (Author/MLW)

  6. Collaboration in the School Social Network

    ERIC Educational Resources Information Center

    Schultz-Jones, Barbara

    2009-01-01

    Social networks are fundamental to all people. Their social network describes how they are connected to others: close relationships, peripheral relationships, and those relationships that help connect them to other people, events, or things. As information specialists, school librarians develop a multidimensional social network that enables them…

  7. Organizational Application of Social Networking Information Technologies

    ERIC Educational Resources Information Center

    Reppert, Jeffrey R.

    2012-01-01

    The focus of this qualitative research study using the Delphi method is to provide a framework for leaders to develop their own social networks. By exploring concerns in four areas, leaders may be able to better plan, implement, and manage social networking systems in organizations. The areas addressed are: (a) social networking using…

  8. Career development for early career academics: benefits of networking and the role of professional societies.

    PubMed

    Ansmann, Lena; Flickinger, Tabor E; Barello, Serena; Kunneman, Marleen; Mantwill, Sarah; Quilligan, Sally; Zanini, Claudia; Aelbrecht, Karolien

    2014-10-01

    Whilst effective networking is vitally important for early career academics, understanding and establishing useful networks is challenging. This paper provides an overview of the benefits and challenges of networking in the academic field, particularly for early career academics, and reflects on the role of professional societies in facilitating networking.

  9. Understanding Academic Performance of International Students: The Role of Ethnicity, Academic and Social Integration

    ERIC Educational Resources Information Center

    Rienties, Bart; Beausaert, Simon; Grohnert, Therese; Niemantsverdriet, Susan; Kommers, Piet

    2012-01-01

    More than 3 million students study outside their home country, primarily at a Western university. A common belief among educators is that international students are insufficiently adjusted to higher education in their host country, both academically and socially. Furthermore, several groups of international students experience considerable amounts…

  10. Reward Allocation and Academic versus Social Orientation toward School.

    ERIC Educational Resources Information Center

    Peterson, Candida C.; Peterson, James L.

    1978-01-01

    Correlates 138 elementary school children's views about the purposes of school to their styles of reward allocation: academically motivated students allocated rewards equally to two hypothetical performers who had unequally helped a teacher perform a manual chore, while socially motivated children allocated rewards in an equity (performance-based)…

  11. Cambodian Early Adolescents' Academic Achievement: The Role of Social Capital

    ERIC Educational Resources Information Center

    Eng, Sothy

    2013-01-01

    This study examined the associations of parents' cultural beliefs and attitudes with respect to fate, traditional gender roles, aspirations, and involvement in children's academic achievement in Cambodia. Based on Coleman's social capital theory, a good parent-child relationship enables children's school success because resources are created as a…

  12. Social, Mental, Academic and Physical Development in Groups Doing Sports

    ERIC Educational Resources Information Center

    Nas, Kazim; Temel, Veysel; Akpinar, Selahattin; Akpinar, Oznur

    2012-01-01

    The aim of this study is to show whether sport has an effect on education/academic success and social, mental and physical development or not. The search involves 160 students studying at Physical Education and Sports High School at Karamanoglu Mehmetbey University. Graded quintet likert type questionnaire was used as a measuring means. The first…

  13. Academic Medicine's Season of Accountability and Social Responsibility.

    ERIC Educational Resources Information Center

    Butler, William T.

    1992-01-01

    This article reviews societal demands for increased accountability and social responsibility by academic medicine. The Association of American Medical Colleges is urged to prepare more generalist physicians and assure better access to health care services. A "National System of Regional Medical Care" is proposed. (Author/DB)

  14. Spherical Model Integrating Academic Competence with Social Adjustment and Psychopathology.

    ERIC Educational Resources Information Center

    Schaefer, Earl S.; And Others

    This study replicates and elaborates a three-dimensional, spherical model that integrates research findings concerning social and emotional behavior, psychopathology, and academic competence. Kindergarten teachers completed an extensive set of rating scales on 100 children, including the Classroom Behavior Inventory and the Child Adaptive Behavior…

  15. The Academic Library and Social Responsibility: A Focus on AIDS.

    ERIC Educational Resources Information Center

    Segal, Judith

    1991-01-01

    Discusses the role of academic libraries and librarians and suggests they should become more involved in social and political issues such as AIDS education. The use of a mass media campaign as a model for library activities is explained, and problems surrounding AIDS education in libraries are addressed. (20 references) (LRW)

  16. Enhancing Academic Achievement through Direct Instruction of Social Skills.

    ERIC Educational Resources Information Center

    Bendt, Lori; Nunan, Jan

    This paper examines the impact of the explicit teaching of social skills to enhance academic achievement. The targeted population comprised kindergarten and second grade students in a middle-class community located in central Illinois. The problem of inappropriate behaviors and difficulties interacting with peers and how this may affect academic…

  17. Academic Discourse Socialization through Small-Group Discussions

    ERIC Educational Resources Information Center

    Ho, Mei-ching

    2011-01-01

    This study examines the nature of small-group discussion and explores how it fosters oral academic discourse socialization in a TESOL postgraduate course. The participants included four native-English speaking and six non-native English Speaking postgraduate students at a state university in the U.S. The findings revealed that small-group…

  18. Social network site addiction - an overview.

    PubMed

    Andreassen, Cecilie Schou; Pallesen, Ståle

    2014-01-01

    Research into frequent, excessive, and compulsive social network activity has increased the last years, in which terms such as "social network site addiction" and "Facebook addiction" have been used interchangeably. The aim of this review is to offer more knowledge and better understanding of social network site addiction (SNS-addiction) among researchers as well as clinicians by presenting a narrative overview of the research field in terms of definition, measurement, antecedents, consequences, and treatment as well as recommendations for future research efforts. Seven different measures of SNS-addiction have been developed, although they have to a very little extent been validated against each other. The small number of studies conducted so far on this topic suggests that SNS-addiction is associated with health-related, academic, and interpersonal problems/issues. However such studies have relied on a simple cross-sectional study design. It is therefore hard to draw any conclusions about potential causality and long-term effects at this point, beyond hypothetical speculations. Empirical studies suggest that SNS-addiction is caused by dispositional factors (e.g., personality, needs, self-esteem), although relevant explanatory socio-cultural and behavioral reinforcement factors remain to be empirically explored. No well-documented treatment for SNS-addiction exists, but knowledge gained from Internet addiction treatment approaches might be transferable to SNS-addiction. Overall, the research on this topic is in its infancy, and as such the SNS-addiction construct needs further conceptual and empirical exploration. There is a great demand for studies using careful longitudinal designs and studies which include objective measures of both behavior and health based on broad representative samples.

  19. Text Mining in Social Networks

    NASA Astrophysics Data System (ADS)

    Aggarwal, Charu C.; Wang, Haixun

    Social networks are rich in various kinds of contents such as text and multimedia. The ability to apply text mining algorithms effectively in the context of text data is critical for a wide variety of applications. Social networks require text mining algorithms for a wide variety of applications such as keyword search, classification, and clustering. While search and classification are well known applications for a wide variety of scenarios, social networks have a much richer structure both in terms of text and links. Much of the work in the area uses either purely the text content or purely the linkage structure. However, many recent algorithms use a combination of linkage and content information for mining purposes. In many cases, it turns out that the use of a combination of linkage and content information provides much more effective results than a system which is based purely on either of the two. This paper provides a survey of such algorithms, and the advantages observed by using such algorithms in different scenarios. We also present avenues for future research in this area.

  20. Characteristics of Academically-Influential Children: Achievement Motivation and Social Status

    ERIC Educational Resources Information Center

    Masland, Lindsay C.; Lease, A. Michele

    2016-01-01

    The contributions of academic achievement motivation and social status to peer-reported academic influence were explored in a sample of 322 children in grades three through five. Latent moderated structural equation modeling indicated that children who value academics are more likely to be rated by peers as academically influential. Social status…

  1. Use of Social Emotional Learning Skills to Predict Future Academic Success and Progress toward Graduation

    ERIC Educational Resources Information Center

    Davis, Alan; Solberg, V. Scott; de Baca, Christine; Gore, Taryn Hargrove

    2014-01-01

    This study evaluated the degree to which a range of social emotional learning skills--academic self-efficacy, academic motivation, social connections, importance of school, and managing psychological and emotional distress and academic stress--could be used as an indicator of future academic outcomes. Using a sample of 4,797 from a large urban…

  2. Effects of Achievement Motivation, Social Identity, and Peer Group Norms on Academic Conformity

    ERIC Educational Resources Information Center

    Masland, Lindsay C.; Lease, A. Michele

    2013-01-01

    This study investigated whether academic achievement motivation and social identity explain variation in children's conformity to positive academic behaviors (n = 455 children in grades three through five). Structural equation modeling suggested that academic value and peer group academic norms were positively related to academic conformity.…

  3. Social network determinants of depression

    PubMed Central

    Rosenquist, JN; Fowler, JH; Christakis, NA

    2013-01-01

    The etiology of depression has long been thought to include social environmental factors. To quantitatively explore the novel possibility of person-to-person spread and network-level determination of depressive symptoms, analyses were performed on a densely interconnected social network of 12 067 people assessed repeatedly over 32 years as part of the Framingham Heart Study. Longitudinal statistical models were used to examine whether depressive symptoms in one person were associated with similar scores in friends, co-workers, siblings, spouses and neighbors. Depressive symptoms were assessed using CES-D scores that were available for subjects in three waves measured between 1983 and 2001. Results showed both low and high CES-D scores (and classification as being depressed) in a given period were strongly correlated with such scores in one's friends and neighbors. This association extended up to three degrees of separation (to one's friends’ friends’ friends). Female friends appear to be especially influential in the spread of depression from one person to another. The results are robust to multiple network simulation and estimation methods, suggesting that network phenomena appear relevant to the epidemiology of depression and would benefit from further study. PMID:20231839

  4. Community dynamics in social networks

    NASA Astrophysics Data System (ADS)

    Palla, Gergely; Barabási, Albert-László; Vicsek, Tamás

    2007-06-01

    We study the statistical properties of community dynamics in large social networks, where the evolving communities are obtained from subsequent snapshots of the modular structure. Such cohesive groups of people can grow by recruiting new members, or contract by loosing members; two (or more) groups may merge into a single community, while a large enough social group can split into several smaller ones; new communities are born and old ones may disappear. We find significant difference between the behaviour of smaller collaborative or friendship circles and larger communities, eg. institutions. Social groups containing only a few members persist longer on average when the fluctuations of the members is small. In contrast, we find that the condition for stability for large communities is continuous changes in their membership, allowing for the possibility that after some time practically all members are exchanged.

  5. Is Your Academic Library Pinning? Academic Libraries and Pinterest

    ERIC Educational Resources Information Center

    Thornton, Elaine

    2012-01-01

    Academic libraries are flocking to online social networking sites in an effort to meet users where they are. Pinterest is the latest of these rapidly growing online social networking tools. The author of this article reports results from a survey on academic libraries' presence on Pinterest. The survey found most academic library pinboards are in…

  6. "Hidden" social networks in behavior change interventions.

    PubMed

    Hunter, Ruth F; McAneney, Helen; Davis, Michael; Tully, Mark A; Valente, Thomas W; Kee, Frank

    2015-03-01

    We investigated whether "hidden" (or unobserved) social networks were evident in a 2011 physical activity behavior change intervention in Belfast, Northern Ireland. Results showed evidence of unobserved social networks in the intervention and illustrated how the network evolved over short periods and affected behavior. Behavior change interventions should account for the interaction among participants (i.e., social networks) and how such interactions affect intervention outcome.

  7. Detecting Change in Longitudinal Social Networks

    DTIC Science & Technology

    2011-01-01

    marketing campaigns and media on social behavior. Initial Construct populations, social and knowledge networks, can be hypothetical or real (Carley...patent data bases, phone-networks, email- based-networks, social- media networks and more. Page 6 of 37 Current methods of change detection in...CUSUM C Sta measured fo o be successf Average Bet ct either incre or each socia g increases in the data for fective for ch ork. tistic Over Tim

  8. Network of Alabama Academic Libraries Collection Assessment Manual.

    ERIC Educational Resources Information Center

    Medina, Sue O.; And Others

    This manual was developed to assist the members of the Network of Alabama Academic Libraries in the library collection assessment that is now required by the Alabama Commission on Higher Education as a component of any proposal that an institution submits for new program review and approval. This assessment component considers the ability of the…

  9. Small "p" Publishing: A Networked Blogging Approach to Academic Discourse

    ERIC Educational Resources Information Center

    Martin, Julia W.; Hughes, Brian

    2012-01-01

    This article highlights a middle ground for academic publishing between formal peer-reviewed journals and informal blogging that we call "Small "p" Publishing." Having implemented and tested a publishing network that illustrates this middle ground, we describe its unique contributions to scholars and learning communities. Three features that…

  10. The Social Classroom: Integrating Social Network Use in Education

    ERIC Educational Resources Information Center

    Mallia, Gorg, Ed.

    2014-01-01

    As technology is being integrated into educational processes, teachers are searching for new ways to enhance student motivation and learning. Through shared experiences and the results of empirical research, educators can ease social networking sites into instructional usage. "The Social Classroom: Integrating Social Network Use in…

  11. Social Media and Social Networking Applications for Teaching and Learning

    ERIC Educational Resources Information Center

    Yeo, Michelle Mei Ling

    2014-01-01

    This paper aims to better understand the experiences of the youth and the educators with the tapping of social media like YouTube videos and the social networking application of Facebook for teaching and learning. This paper is interested in appropriating the benefits of leveraging of social media and networking applications like YouTube and…

  12. Role of Social Networks in Developing Religious and Social Values of the Students of the World Islamic Sciences & Education University

    ERIC Educational Resources Information Center

    Al-Mosa, Nosiba Ali

    2015-01-01

    The study aimed to identify the role of Social Networks in the social and religious values of The World Islamic Sciences & Education University students. The study applied the survey and descriptive Approach. The population of the study represents all BA students who enrolled in the first academic semester for the year 2014-2015. The sample of…

  13. Will Learning Social Inclusion Assist Rural Networks

    ERIC Educational Resources Information Center

    Marchant, Jillian

    2013-01-01

    Current research on social networks in some rural communities reports continuing demise despite efforts to build resilient communities. Several factors are identified as contributing to social decline including globalisation and rural social characteristics. Particular rural social characteristics, such as strong social bonds among members of…

  14. Location Privacy Protection on Social Networks

    NASA Astrophysics Data System (ADS)

    Zhan, Justin; Fang, Xing

    Location information is considered as private in many scenarios. Protecting location information on mobile ad-hoc networks has attracted much research in past years. However, location information protection on social networks has not been paid much attention. In this paper, we present a novel location privacy protection approach on the basis of user messages in social networks. Our approach grants flexibility to users by offering them multiple protecting options. To the best of our knowledge, this is the first attempt to protect social network users' location information via text messages. We propose five algorithms for location privacy protection on social networks.

  15. Social Network Theory and Educational Change

    ERIC Educational Resources Information Center

    Daly, Alan J., Ed.

    2010-01-01

    "Social Network Theory and Educational Change" offers a provocative and fascinating exploration of how social networks in schools can impede or facilitate the work of education reform. Drawing on the work of leading scholars, the book comprises a series of studies examining networks among teachers and school leaders, contrasting formal…

  16. Probing next Generation Portuguese Academic Network

    ERIC Educational Resources Information Center

    Friacas, Carlos; Massano, Emanuel; Domingues, Monica; Veiga, Pedro

    2008-01-01

    Purpose: The purpose of this article is to provide several viewpoints about monitoring aspects related to recent deployments of a new technology (IPv6). Design/methodology/approach: Several views and domains were used, with a common point: the Portuguese research and education network (RCTS). Findings: A significant amount of work is yet to be…

  17. Relations between social competence and academic achievement in early adolescence.

    PubMed

    Wentzel, K R

    1991-10-01

    Relations between academic performance and 3 aspects of social competence--socially responsible behavior, sociometric status, and self-regulatory processes (goal setting, interpersonal trust, and problem-solving styles)--were studied. Based on a sample of 423 12- and 13-year-old students, correlational findings indicate that each aspect of social competence is related significantly to students' grades. Results from multiple regression analyses suggest that when accounting for students' IQ, sex, ethnicity, school absence, and family structure, socially responsible behavior mediates almost entirely the relations between students' grades and the other 2 aspects of social competence. Socially responsible behavior and peer status appear to be related by way of their joint association with goals to be socially responsible, interpersonal trust, and problem-solving styles. Similarly, relations between socially responsible behavior and the background variables are explained by joint relations with the self-regulatory processes. The social nature of learning and the role of self-regulation in both interpersonal and behavioral aspects of social competence are discussed.

  18. Social Networks and Mourning: A Comparative Approach.

    ERIC Educational Resources Information Center

    Rubin, Nissan

    1990-01-01

    Suggests using social network theory to explain varieties of mourning behavior in different societies. Compares participation in funeral ceremonies of members of different social circles in American society and Israeli kibbutz. Concludes that results demonstrated validity of concepts deriving from social network analysis in study of bereavement,…

  19. Egocentric Social Network Analysis of Pathological Gambling

    PubMed Central

    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

  20. Bayesian Networks for Social Modeling

    SciTech Connect

    Whitney, Paul D.; White, Amanda M.; Walsh, Stephen J.; Dalton, Angela C.; Brothers, Alan J.

    2011-03-28

    This paper describes a body of work developed over the past five years. The work addresses the use of Bayesian network (BN) models for representing and predicting social/organizational behaviors. The topics covered include model construction, validation, and use. These topics show the bulk of the lifetime of such model, beginning with construction, moving to validation and other aspects of model ‘critiquing’, and finally demonstrating how the modeling approach might be used to inform policy analysis. To conclude, we discuss limitations of using BN for this activity and suggest remedies to address those limitations. The primary benefits of using a well-developed computational, mathematical, and statistical modeling structure, such as BN, are 1) there are significant computational, theoretical and capability bases on which to build 2) ability to empirically critique the model, and potentially evaluate competing models for a social/behavioral phenomena.

  1. Improved community model for social networks based on social mobility

    NASA Astrophysics Data System (ADS)

    Lu, Zhe-Ming; Wu, Zhen; Luo, Hao; Wang, Hao-Xian

    2015-07-01

    This paper proposes an improved community model for social networks based on social mobility. The relationship between the group distribution and the community size is investigated in terms of communication rate and turnover rate. The degree distributions, clustering coefficients, average distances and diameters of networks are analyzed. Experimental results demonstrate that the proposed model possesses the small-world property and can reproduce social networks effectively and efficiently.

  2. Detecting social transmission in networks.

    PubMed

    Hoppitt, William; Boogert, Neeltje J; Laland, Kevin N

    2010-04-21

    In recent years researchers have drawn attention to a need for new methods with which to identify the spread of behavioural innovations through social transmission in animal populations. Network-based analyses seek to recognise diffusions mediated by social learning by detecting a correspondence between patterns of association and the flow of information through groups. Here we introduce a new order of acquisition diffusion analysis (OADA) and develop established time of acquisition diffusion analysis (TADA) methods further. Through simulation we compare the merits of these and other approaches, demonstrating that OADA and TADA have greater power and lower Type I error rates than available alternatives, and specifying when each approach should be deployed. We illustrate the new methods by applying them to reanalyse an established dataset corresponding to the diffusion of foraging innovations in starlings, where OADA and TADA detect social transmission that hitherto had been missed. The methods are potentially widely applicable by researchers wishing to detect social learning in natural and captive populations of animals, and to facilitate this we provide code to implement OADA and TADA in the statistical package R.

  3. Psychology and social networks: a dynamic network theory perspective.

    PubMed

    Westaby, James D; Pfaff, Danielle L; Redding, Nicholas

    2014-04-01

    Research on social networks has grown exponentially in recent years. However, despite its relevance, the field of psychology has been relatively slow to explain the underlying goal pursuit and resistance processes influencing social networks in the first place. In this vein, this article aims to demonstrate how a dynamic network theory perspective explains the way in which social networks influence these processes and related outcomes, such as goal achievement, performance, learning, and emotional contagion at the interpersonal level of analysis. The theory integrates goal pursuit, motivation, and conflict conceptualizations from psychology with social network concepts from sociology and organizational science to provide a taxonomy of social network role behaviors, such as goal striving, system supporting, goal preventing, system negating, and observing. This theoretical perspective provides psychologists with new tools to map social networks (e.g., dynamic network charts), which can help inform the development of change interventions. Implications for social, industrial-organizational, and counseling psychology as well as conflict resolution are discussed, and new opportunities for research are highlighted, such as those related to dynamic network intelligence (also known as cognitive accuracy), levels of analysis, methodological/ethical issues, and the need to theoretically broaden the study of social networking and social media behavior. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

  4. Dim Networks: The Utility of Social Network Analysis for Illuminating Partner Security Force Networks

    DTIC Science & Technology

    2015-12-01

    use of social network analysis (SNA) has allowed the military to map dark networks of terrorist organizations and selectively target key elements...data to improve SC. 14. SUBJECT TERMS social network analysis, dark networks, light networks, dim networks, security cooperation, Southeast Asia...task may already exist. Recently, the use of social network analysis (SNA) has allowed the military to map dark networks of terrorist organizations

  5. Evolution of individual versus social learning on social networks.

    PubMed

    Tamura, Kohei; Kobayashi, Yutaka; Ihara, Yasuo

    2015-03-06

    A number of studies have investigated the roles played by individual and social learning in cultural phenomena and the relative advantages of the two learning strategies in variable environments. Because social learning involves the acquisition of behaviours from others, its utility depends on the availability of 'cultural models' exhibiting adaptive behaviours. This indicates that social networks play an essential role in the evolution of learning. However, possible effects of social structure on the evolution of learning have not been fully explored. Here, we develop a mathematical model to explore the evolutionary dynamics of learning strategies on social networks. We first derive the condition under which social learners (SLs) are selectively favoured over individual learners in a broad range of social network. We then obtain an analytical approximation of the long-term average frequency of SLs in homogeneous networks, from which we specify the condition, in terms of three relatedness measures, for social structure to facilitate the long-term evolution of social learning. Finally, we evaluate our approximation by Monte Carlo simulations in complete graphs, regular random graphs and scale-free networks. We formally show that whether social structure favours the evolution of social learning is determined by the relative magnitudes of two effects of social structure: localization in competition, by which competition between learning strategies is evaded, and localization in cultural transmission, which slows down the spread of adaptive traits. In addition, our estimates of the relatedness measures suggest that social structure disfavours the evolution of social learning when selection is weak.

  6. Recent Themes in Social Networking Service Research

    PubMed Central

    Liu, John S.; Ho, Mei Hsiu-Ching; Lu, Louis Y. Y.

    2017-01-01

    The body of literature addressing the phenomenon related to social networking services (SNSs) has grown rather fast recently. Through a systematic and quantitative approach, this study identifies the recent SNS research themes, which are the issues discussed by a coherent and growing subset of this literature. A set of academic articles retrieved from the Web of Science database is used as the basis for uncovering the recent themes. We begin the analysis by constructing a citation network which is further separated into groups after applying a widely used clustering method. The resulting clusters all consist of articles coherent in citation relationships. This study suggests eight fast growing recent themes. They span widely encompassing politics, romantic relationships, public relations, journalism, and health. Among them, four focus their issues largely on Twitter, three on Facebook, and one generally on both. While discussions on traditional issues in SNSs such as personality, motivations, self-disclosure, narcissism, etc. continue to lead the pack, the proliferation of the highlighted recent themes in the near future is very likely to happen. PMID:28107541

  7. Social networks in cardiovascular disease management.

    PubMed

    Shaya, Fadia T; Yan, Xia; Farshid, Maryam; Barakat, Samer; Jung, Miah; Low, Sara; Fedder, Donald

    2010-12-01

    Cardiovascular disease remains the leading cause of death in the USA. Social networks have a positive association with obesity, smoking cessation and weight loss. This article summarizes studies evaluating the impact of social networks on the management of cardiovascular disease. The 35 studies included in the article describe the impact of social networks on a decreased incidence of cardiovascular disease, depression and mortality. In addition, having a large-sized social network is also associated with better outcomes and improved health. The role of pharmacists is beginning to play an important role in the patient-centered medical home, which needs to be incorporated into social networks. The patient-centered medical home can serve as an adaptive source for social network evolvement.

  8. Spatially Distributed Social Complex Networks

    NASA Astrophysics Data System (ADS)

    Frasco, Gerald F.; Sun, Jie; Rozenfeld, Hernán D.; ben-Avraham, Daniel

    2014-01-01

    We propose a bare-bones stochastic model that takes into account both the geographical distribution of people within a country and their complex network of connections. The model, which is designed to give rise to a scale-free network of social connections and to visually resemble the geographical spread seen in satellite pictures of the Earth at night, gives rise to a power-law distribution for the ranking of cities by population size (but for the largest cities) and reflects the notion that highly connected individuals tend to live in highly populated areas. It also yields some interesting insights regarding Gibrat's law for the rates of city growth (by population size), in partial support of the findings in a recent analysis of real data [Rozenfeld et al., Proc. Natl. Acad. Sci. U.S.A. 105, 18702 (2008).]. The model produces a nontrivial relation between city population and city population density and a superlinear relationship between social connectivity and city population, both of which seem quite in line with real data.

  9. The Strategic Paradox of Social Networks

    DTIC Science & Technology

    2011-03-18

    cause long-lasting effects. For example, a recent Career Builder survey found the number of civilian employers who used social networking sites as...Service members discussing political subjects on social networking sites can quickly attract negative attention. In March 2010, Marine Corps Sergeant...on social networking sites . In March 2010, stories surfaced reporting the Israeli army canceled a mission after a soldier “disclosed the name of the

  10. Discovering Mobile Social Networks by Semantic Technologies

    NASA Astrophysics Data System (ADS)

    Jung, Jason J.; Choi, Kwang Sun; Park, Sung Hyuk

    It has been important for telecommunication companies to discover social networks from mobile subscribers. They have attempted to provide a number of recommendation services, but they realized that the services were not successful. In this chapter, we present semantic technologies for discovering social networks. The process is mainly composed of two steps; (1) profile identification and (2) context understanding. Through developing a Next generation Contents dElivery (NICE) platform, we were able to generate various services based on the discovered social networks.

  11. Academic freedom and academic duty to teach social justice: a perspective and pedagogy for public health nursing faculty.

    PubMed

    Fahrenwald, Nancy L; Taylor, Janette Y; Kneipp, Shawn M; Canales, Mary K

    2007-01-01

    Public health nursing practice is rooted in the core value of social justice. Nursing faculty whose expertise is in public health are often the content experts responsible for teaching this essential, yet potentially controversial, value. Contemporary threats to academic freedom remind us that the disciplinary autonomy and academic duty to teach social justice may be construed as politically ideological. These threats are of particular concern when faculty members guide students through a scientific exploration of sociopolitical factors that lead to health-related social injustices and encourage students to improve and transform injustices in their professional careers. This article (a) reviews recent challenges to academic freedom that influence social justice education, (b) explores academic freedom and duty to teach social justice within the discipline of nursing, and (c) proposes a praxis-based approach to social justice education, which is grounded in transformative pedagogy.

  12. Animal welfare: a social networks perspective.

    PubMed

    Kleinhappel, Tanja K; John, Elizabeth A; Pike, Thomas W; Wilkinson, Anna; Burman, Oliver H P

    2016-01-01

    Social network theory provides a useful tool to study complex social relationships in animals. The possibility to look beyond dyadic interactions by considering whole networks of social relationships allows researchers the opportunity to study social groups in more natural ways. As such, network-based analyses provide an informative way to investigate the factors influencing the social environment of group-living animals, and so has direct application to animal welfare. For example, animal groups in captivity are frequently disrupted by separations, reintroductions and/or mixing with unfamiliar individuals and this can lead to social stress and associated aggression. Social network analysis ofanimal groups can help identify the underlying causes of these socially-derived animal welfare concerns. In this review we discuss how this approach can be applied, and how it could be used to identify potential interventions and solutions in the area of animal welfare.

  13. Social jetlag negatively correlates with academic performance in undergraduates.

    PubMed

    Haraszti, Réka Ágnes; Ella, Krisztina; Gyöngyösi, Norbert; Roenneberg, Till; Káldi, Krisztina

    2014-06-01

    Discrepancies between sleep timing on workdays and weekends, also known as social jetlag (SJL), affect the majority of the population and have been found to be associated with increased health risk and health-impairing behaviors. In this study, we explored the relationship between SJL and academic performance in a sample of undergraduates of the Semmelweis University. We assessed SJL and other sleep-related parameters with the Munich ChronoType Questionnaire (MCTQ) (n = 753). Academic performance was measured by the average grade based on weekly test results as well as scores acquired on the final test (n = 247). The average mid-sleep point on free days in the Hungarian sample fits well the regression line plotted for longitudes within the Central European Time Zone and chronotypes, confirming that sunlight has a major impact on chronotype. Multivariate analysis showed negative effect of SJL on the weekly average grade (p = 0.028, n = 247) during the lecture term with its highly regular teaching schedules, while this association disappeared in the exam period (p = 0.871, n = 247) when students had no scheduled obligations (lower SJL). We also analyzed the relationship between the time of the weekly tests and academic performance and found that students with later sleep times on free days achieved worse in the morning (p = 0.017, n = 129), while the inverse tendency was observed for the afternoon test-takers (p = 0.10, n = 118). We did not find significant association between academic performance and sleep duration or sleep debt on work days. Our data suggest that circadian misalignment can have a significant negative effect on academic performance. One possible reason for this misalignment is socially enforced sleep times.

  14. Networking for philanthropy: increasing volunteer behavior via social networking sites.

    PubMed

    Kim, Yoojung; Lee, Wei-Na

    2014-03-01

    Social networking sites (SNSs) provide a unique social venue to engage the young generation in philanthropy through their networking capabilities. An integrated model that incorporates social capital into the Theory of Reasoned Action is developed to explain volunteer behavior through social networks. As expected, volunteer behavior was predicted by volunteer intention, which was influenced by attitudes and subjective norms. In addition, social capital, an outcome of the extensive use of SNSs, was as an important driver of users' attitude and subjective norms toward volunteering via SNSs.

  15. Measuring the academic, social, and psychological effects of academic service learning on middle school students

    NASA Astrophysics Data System (ADS)

    Giacalone, Valarie A.

    The purpose of this study was to examine the effects of an academic service learning project on ninth-grade students' science achievement and attitudes. A quasi-experimental, pretest-posttest design was used with four classes of one teacher in a rural school. The treatment was an Energy Fair service project. Two treatment classes that were chosen by random assignment (n = 58) were compared to two control classes (n = 64), who performed an alternative assignment. The Energy Fair was conducted for the elementary school students and on a limited basis for fellow students (peers). The academic effect was measured by a teacher-designed end-of-unit ecology test, with a subset of the questions on energy use. Psychological effects were measured by a self-esteem questionnaire, which measured both self-esteem and the satisfaction felt about one's self-esteem. Social effects were measured by three semantic differentials, one each for "adults," "peers," and "elementary students." The teacher was interviewed regarding her observations about the project. Written reflections from both the treatment and control groups were coded and analyzed. Pretest results were divided into thirds of high, medium, and low for all variables to search for the possibility of an attribute-treatment interaction. Analysis of covariance was used to reduce the possibility of pretest bias, to test for significant effects, and to test for a level by treatment interaction. Although the posttest means favored the experimental group, no statistically significant difference was found for academic results. No significant effect was found for either of the psychological measures. No change was found for the social results regarding "adults." A statistically significant effect was found for social results in the categories of "elementary students" and "peers." No statistically significant level by treatment interaction was found. Further research on the effects of academic service learning projects is needed at

  16. Social Software: Participants' Experience Using Social Networking for Learning

    ERIC Educational Resources Information Center

    Batchelder, Cecil W.

    2010-01-01

    Social networking tools used in learning provides instructional design with tools for transformative change in education. This study focused on defining the meanings and essences of social networking through the lived common experiences of 7 college students. The problem of the study was a lack of learner voice in understanding the value of social…

  17. Link prediction in multiplex online social networks

    PubMed Central

    Jalili, Mahdi; Orouskhani, Yasin; Asgari, Milad; Alipourfard, Nazanin

    2017-01-01

    Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion and discovering spurious connections. Many real social networks evolve the connections in multiple layers (e.g. multiple social networking platforms). In this article, we study the link prediction problem in multiplex networks. As an example, we consider a multiplex network of Twitter (as a microblogging service) and Foursquare (as a location-based social network). We consider social networks of the same users in these two platforms and develop a meta-path-based algorithm for predicting the links. The connectivity information of the two layers is used to predict the links in Foursquare network. Three classical classifiers (naive Bayes, support vector machines (SVM) and K-nearest neighbour) are used for the classification task. Although the networks are not highly correlated in the layers, our experiments show that including the cross-layer information significantly improves the prediction performance. The SVM classifier results in the best performance with an average accuracy of 89%. PMID:28386441

  18. Link prediction in multiplex online social networks

    NASA Astrophysics Data System (ADS)

    Jalili, Mahdi; Orouskhani, Yasin; Asgari, Milad; Alipourfard, Nazanin; Perc, Matjaž

    2017-02-01

    Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion and discovering spurious connections. Many real social networks evolve the connections in multiple layers (e.g. multiple social networking platforms). In this article, we study the link prediction problem in multiplex networks. As an example, we consider a multiplex network of Twitter (as a microblogging service) and Foursquare (as a location-based social network). We consider social networks of the same users in these two platforms and develop a meta-path-based algorithm for predicting the links. The connectivity information of the two layers is used to predict the links in Foursquare network. Three classical classifiers (naive Bayes, support vector machines (SVM) and K-nearest neighbour) are used for the classification task. Although the networks are not highly correlated in the layers, our experiments show that including the cross-layer information significantly improves the prediction performance. The SVM classifier results in the best performance with an average accuracy of 89%.

  19. Link prediction in multiplex online social networks.

    PubMed

    Jalili, Mahdi; Orouskhani, Yasin; Asgari, Milad; Alipourfard, Nazanin; Perc, Matjaž

    2017-02-01

    Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion and discovering spurious connections. Many real social networks evolve the connections in multiple layers (e.g. multiple social networking platforms). In this article, we study the link prediction problem in multiplex networks. As an example, we consider a multiplex network of Twitter (as a microblogging service) and Foursquare (as a location-based social network). We consider social networks of the same users in these two platforms and develop a meta-path-based algorithm for predicting the links. The connectivity information of the two layers is used to predict the links in Foursquare network. Three classical classifiers (naive Bayes, support vector machines (SVM) and K-nearest neighbour) are used for the classification task. Although the networks are not highly correlated in the layers, our experiments show that including the cross-layer information significantly improves the prediction performance. The SVM classifier results in the best performance with an average accuracy of 89%.

  20. The family, neuroscience, and academic skills: An interdisciplinary account of social class gaps in children's test scores.

    PubMed

    Potter, Daniel; Mashburn, Andrew; Grissmer, David

    2013-03-01

    Current explanations of social class gaps in children's early academic skills tend to focus on non-cognitive skills that more advantaged children acquire in the family. Accordingly, social class matters because the cultural resources more abundant in advantaged families cultivate children's repertories and tool kits, which allow them to more easily navigate social institutions, such as schools. Within these accounts, parenting practices matter for children's academic success, but for seemingly arbitrary reasons. Alternatively, findings from current neuroscience research indicate that family context matters for children because it cultivates neural networks that assist in learning and the development of academic skills. That is, children's exposure to particular parenting practices and stimulating home environments contribute to the growth in neurocognitive skills that affect later academic performance. We synthesize sociological and neuroscience accounts of developmental inequality by focusing on one such skill-fine motor skills-to illustrate how family context alters children's early academic performance. Our findings support an interdisciplinary account of academic inequality, and extend current accounts of the family's role in the transmission of social inequality.

  1. Mining of the social network extraction

    NASA Astrophysics Data System (ADS)

    Nasution, M. K. M.; Hardi, M.; Syah, R.

    2017-01-01

    The use of Web as social media is steadily gaining ground in the study of social actor behaviour. However, information in Web can be interpreted in accordance with the ability of the method such as superficial methods for extracting social networks. Each method however has features and drawbacks: it cannot reveal the behaviour of social actors, but it has the hidden information about them. Therefore, this paper aims to reveal such information in the social networks mining. Social behaviour could be expressed through a set of words extracted from the list of snippets.

  2. Badger social networks correlate with tuberculosis infection.

    PubMed

    Weber, Nicola; Carter, Stephen P; Dall, Sasha R X; Delahay, Richard J; McDonald, Jennifer L; Bearhop, Stuart; McDonald, Robbie A

    2013-10-21

    Although disease hosts are classically assumed to interact randomly [1], infection is likely to spread across structured and dynamic contact networks [2]. We used social network analyses to investigate contact patterns of group-living European badgers, Meles meles, which are an important wildlife reservoir of bovine tuberculosis (TB). We found that TB test-positive badgers were socially isolated from their own groups but were more important for flow, potentially of infection, between social groups. The distinctive social position of infected badgers may help explain how social stability mitigates, and social perturbation increases, the spread of infection in badgers.

  3. Science, Society, and Social Networking

    NASA Astrophysics Data System (ADS)

    White, K. S.; Lohwater, T.

    2009-12-01

    The increased use of social networking is changing the way that scientific societies interact with their members and others. The American Association for the Advancement of Science (AAAS) uses a variety of online networks to engage its members and the broader scientific community. AAAS members and non-members can interact with AAAS staff and each other on AAAS sites on Facebook, YouTube, and Twitter, as well as blogs and forums on the AAAS website (www.aaas.org). These tools allow scientists to more readily become engaged in policy by providing information on current science policy topics as well as methods of involvement. For example, members and the public can comment on policy-relevant stories from Science magazine’s ScienceInsider blog, download a weekly policy podcast, receive a weekly email update of policy issues affecting the scientific community, or watch a congressional hearing from their computer. AAAS resource websites and outreach programs, including Communicating Science (www.aaas.org/communicatingscience), Working with Congress (www.aaas.org/spp/cstc/) and Science Careers (http://sciencecareers.sciencemag.org) also provide tools for scientists to become more personally engaged in communicating their findings and involved in the policy process.

  4. Trust Transitivity in Social Networks

    PubMed Central

    Richters, Oliver; Peixoto, Tiago P.

    2011-01-01

    Non-centralized recommendation-based decision making is a central feature of several social and technological processes, such as market dynamics, peer-to-peer file-sharing and the web of trust of digital certification. We investigate the properties of trust propagation on networks, based on a simple metric of trust transitivity. We investigate analytically the percolation properties of trust transitivity in random networks with arbitrary in/out-degree distributions, and compare with numerical realizations. We find that the existence of a non-zero fraction of absolute trust (i.e. entirely confident trust) is a requirement for the viability of global trust propagation in large systems: The average pair-wise trust is marked by a discontinuous transition at a specific fraction of absolute trust, below which it vanishes. Furthermore, we perform an extensive analysis of the Pretty Good Privacy (PGP) web of trust, in view of the concepts introduced. We compare different scenarios of trust distribution: community- and authority-centered. We find that these scenarios lead to sharply different patterns of trust propagation, due to the segregation of authority hubs and densely-connected communities. While the authority-centered scenario is more efficient, and leads to higher average trust values, it favours weakly-connected “fringe” nodes, which are directly trusted by authorities. The community-centered scheme, on the other hand, favours nodes with intermediate in/out-degrees, in detriment of the authorities and its “fringe” peers. PMID:21483683

  5. Social Networking Sites and Cognitive Abilities: Do They Make You Smarter?

    ERIC Educational Resources Information Center

    Alloway, Tracy Packiam; Horton, John; Alloway, Ross G.; Dawson, Clare

    2013-01-01

    The purpose of the present study was to investigate the impact of social networking sites (SNS) on cognitive abilities and reported levels of social connectedness in adolescents. In order to provide a reliable measure of cognitive skills, standardized tests of verbal ability, working memory, and academic attainment were administered. Students also…

  6. An Examination of the Social Networks of Children with Autism in the Inclusive Classroom

    ERIC Educational Resources Information Center

    Power, Peggy

    2012-01-01

    Including children with Autism Spectrum Disorders (ASD) in inclusive classroom settings has become more prevalent with the intention of enhancing academic and social development. However, little is known about how these children are faring. This study examined the social networks of children with ASD who spent more than 50 percent of their school…

  7. Starting Online: Exploring the Use of a Social Networking Site to Facilitate Transition into Higher Education

    ERIC Educational Resources Information Center

    Knight, John; Rochon, Rebecca

    2012-01-01

    It has been widely recognised that transition into higher education (HE) can be challenging for incoming students. Literature identifies three main areas where students may benefit from support: social, practical and academic. This paper discusses a case study that explores the potential of a social networking environment to provide support in…

  8. Social networking sites and adolescent health.

    PubMed

    Moreno, Megan A; Kolb, Jennifer

    2012-06-01

    Social networking sites are popular among and consistently used by adolescents. These sites present benefits as well as risks to adolescent health. Recently, pediatric providers have also considered the benefits and risks of using social networking sites in their own practices.

  9. Happiness is assortative in online social networks.

    PubMed

    Bollen, Johan; Gonçalves, Bruno; Ruan, Guangchen; Mao, Huina

    2011-01-01

    Online social networking communities may exhibit highly complex and adaptive collective behaviors. Since emotions play such an important role in human decision making, how online networks modulate human collective mood states has become a matter of considerable interest. In spite of the increasing societal importance of online social networks, it is unknown whether assortative mixing of psychological states takes place in situations where social ties are mediated solely by online networking services in the absence of physical contact. Here, we show that the general happiness, or subjective well-being (SWB), of Twitter users, as measured from a 6-month record of their individual tweets, is indeed assortative across the Twitter social network. Our results imply that online social networks may be equally subject to the social mechanisms that cause assortative mixing in real social networks and that such assortative mixing takes place at the level of SWB. Given the increasing prevalence of online social networks, their propensity to connect users with similar levels of SWB may be an important factor in how positive and negative sentiments are maintained and spread through human society. Future research may focus on how event-specific mood states can propagate and influence user behavior in "real life."

  10. Entrepreneurial Idea Identification through Online Social Networks

    ERIC Educational Resources Information Center

    Lang, Matthew C.

    2010-01-01

    The increasing use of social network websites may signal a change in the way the next generation of entrepreneurs identify entrepreneurial ideas. An important part of the entrepreneurship literature emphasizes how vital the use of social networks is to entrepreneurial idea identification, opportunity recognition, and ultimately new venture…

  11. Enhancing Classroom Effectiveness through Social Networking Tools

    ERIC Educational Resources Information Center

    Kurthakoti, Raghu; Boostrom, Robert E., Jr.; Summey, John H.; Campbell, David A.

    2013-01-01

    To determine the usefulness of social networking Web sites such as Ning.com as a communication tool in marketing courses, a study was designed with special concern for social network use in comparison to Blackboard. Students from multiple marketing courses were surveyed. Assessments of Ning.com and Blackboard were performed both to understand how…

  12. Social Networking on the Semantic Web

    ERIC Educational Resources Information Center

    Finin, Tim; Ding, Li; Zhou, Lina; Joshi, Anupam

    2005-01-01

    Purpose: Aims to investigate the way that the semantic web is being used to represent and process social network information. Design/methodology/approach: The Swoogle semantic web search engine was used to construct several large data sets of Resource Description Framework (RDF) documents with social network information that were encoded using the…

  13. One Health in social networks and social media.

    PubMed

    Mekaru, S R; Brownstein, J S

    2014-08-01

    In the rapidly evolving world of social media, social networks, mobile applications and citizen science, online communities can develop organically and separately from larger or more established organisations. The One Health online community is experiencing expansion from both the bottom up and the top down. In this paper, the authors review social media's strengths and weaknesses, earlier work examining Internet resources for One Health, the current state of One Health in social media (e.g. Facebook, Twitter, YouTube) and online social networking sites (e.g. LinkedIn and ResearchGate), as well as social media in One Health-related citizen science projects. While One Health has a fairly strong presence on websites, its social media presence is more limited and has an uneven geographic distribution. In work following the Stone Mountain Meeting,the One Health Global Network Task Force Report recommended the creation of an online community of practice. Professional social networks as well as the strategic use of social media should be employed in this effort. Finally, One Health-related research projects using volunteers (citizen science) often use social media to enhance their recruitment. Including these researchers in a community of practitioners would take full advantage of their existing social media presence. In conclusion, the interactive nature of social media, combined with increasing global Internet access, provides the One Health community with opportunities to meaningfully expand their community and promote their message.

  14. One Health in social networks and social media

    PubMed Central

    Mekaru, S.R.; Brownstein, J.S.

    2015-01-01

    Summary In the rapidly evolving world of social media, social networks, mobile applications and citizen science, online communities can develop organically and separately from larger or more established organisations. The One Health online community is experiencing expansion from both the bottom up and the top down. In this paper, the authors review social media’s strengths and weaknesses, earlier work examining Internet resources for One Health, the current state of One Health in social media (e.g. Facebook, Twitter, YouTube) and online social networking sites (e.g. LinkedIn and ResearchGate), as well as social media in One Health-related citizen science projects. While One Health has a fairly strong presence on websites, its social media presence is more limited and has an uneven geographic distribution. In work following the Stone Mountain Meeting, the One Health Global Network Task Force Report recommended the creation of an online community of practice. Professional social networks as well as the strategic use of social media should be employed in this effort. Finally, One Health-related research projects using volunteers (citizen science) often use social media to enhance their recruitment. Including these researchers in a community of practitioners would take full advantage of their existing social media presence. In conclusion, the interactive nature of social media, combined with increasing global Internet access, provides the One Health community with opportunities to meaningfully expand their community and promote their message. PMID:25707189

  15. Digital Social Network Mining for Topic Discovery

    NASA Astrophysics Data System (ADS)

    Moradianzadeh, Pooya; Mohi, Maryam; Sadighi Moshkenani, Mohsen

    Networked computers are expanding more and more around the world, and digital social networks becoming of great importance for many people's work and leisure. This paper mainly focused on discovering the topic of exchanging information in digital social network. In brief, our method is to use a hierarchical dictionary of related topics and words that mapped to a graph. Then, with comparing the extracted keywords from the context of social network with graph nodes, probability of relation between context and desired topics will be computed. This model can be used in many applications such as advertising, viral marketing and high-risk group detection.

  16. Narcissism and social networking Web sites.

    PubMed

    Buffardi, Laura E; Campbell, W Keith

    2008-10-01

    The present research examined how narcissism is manifested on a social networking Web site (i.e., Facebook.com). Narcissistic personality self-reports were collected from social networking Web page owners. Then their Web pages were coded for both objective and subjective content features. Finally, strangers viewed the Web pages and rated their impression of the owner on agentic traits, communal traits, and narcissism. Narcissism predicted (a) higher levels of social activity in the online community and (b) more self-promoting content in several aspects of the social networking Web pages. Strangers who viewed the Web pages judged more narcissistic Web page owners to be more narcissistic. Finally, mediational analyses revealed several Web page content features that were influential in raters' narcissistic impressions of the owners, including quantity of social interaction, main photo self-promotion, and main photo attractiveness. Implications of the expression of narcissism in social networking communities are discussed.

  17. Information filtering on coupled social networks.

    PubMed

    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.

  18. Information Filtering on Coupled Social Networks

    PubMed Central

    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

  19. Spectral Analysis of Rich Network Topology in Social Networks

    ERIC Educational Resources Information Center

    Wu, Leting

    2013-01-01

    Social networks have received much attention these days. Researchers have developed different methods to study the structure and characteristics of the network topology. Our focus is on spectral analysis of the adjacency matrix of the underlying network. Recent work showed good properties in the adjacency spectral space but there are few…

  20. Knowledge Discovery from Growing Social Networks

    DTIC Science & Technology

    2009-12-24

    undesirable things by blocking a limited number of links in a network. 2) An effective visualization method for understanding a complex network, in...representative information diffusion models. 4) An effective method for ranking influential nodes in complex social networks by estimating diffusion...trends, and market opportunities. We can now obtain digital traces of human social interaction with time stamp information in a wide variety of

  1. Social Network Resources and Management of Hypertension*

    PubMed Central

    Cornwell, Erin York; Waite, Linda J.

    2013-01-01

    Hypertension is one of the most prevalent chronic diseases among older adults, but rates of blood pressure control are low. In this paper, we explore the role of social network ties and network-based resources (e.g., information and support) in hypertension diagnosis and management. We use data from the National Social Life, Health, and Aging Project (NSHAP) to identify older adults with undiagnosed or uncontrolled hypertension. We find that network characteristics and emotional support are associated with hypertension diagnosis and control. Importantly, the risks of undiagnosed and uncontrolled hypertension are lower among those with larger social networks -- if they discuss health issues with their network members. When these lines of communication are closed, network size is associated with greater risk of undiagnosed and uncontrolled hypertension. Health care utilization partially mediates associations with diagnosis, but the benefits of network resources for hypertension control do not seem to stem from health-related behaviors. PMID:22660826

  2. Loneliness, Social Networks, and Social Functioning in Borderline Personality Disorder.

    PubMed

    Liebke, Lisa; Bungert, Melanie; Thome, Janine; Hauschild, Sophie; Gescher, Dorothee Maria; Schmahl, Christian; Bohus, Martin; Lis, Stefanie

    2016-08-08

    Persistent loneliness is often reported by patients with borderline personality disorder (BPD). However, empirical studies investigating this aspect of BPD psychopathology are sparse. Studies from social psychology revealed that social isolation and low social functioning contribute to loneliness, that is, the subjective feeling of being alone. The aim of the present study was to contribute to the understanding of loneliness in BPD by investigating its relation to social isolation and functioning in different domains of life. Subjective experience of loneliness was measured in 80 women (40 BPD patients, 40 healthy controls) with the UCLA Loneliness Scale. Social isolation and social functioning were assessed with the Social Network Inventory and the Social Functioning Scale. In addition, we assessed global functioning with the Global Assessment of Functioning. BPD patients reported stronger feelings of loneliness compared to healthy participants. In general, the level of loneliness was linked to network size, social engagement, and prosocial behavior. Diversity of social networks and functioning in the domain of interpersonal communication were associated with the level of loneliness only in BPD. A reduced variety of roles in social life together with impairments in interpersonal communication were particularly relevant for the experience of loneliness in BPD, suggesting an indirect path to target this psychopathological feature in therapeutic interventions. However, both social isolation and social functioning were not sufficient to explain the severely increased loneliness experienced by these patients, stressing the need for further investigation of determinants of loneliness in this clinical population. (PsycINFO Database Record

  3. Participation in Social Media as Academic Service (Invited)

    NASA Astrophysics Data System (ADS)

    Wright, D. J.

    2013-12-01

    We are all familiar with the three-legged stool of standard academic practice -- research, teaching, and service -- especially as it pertains to promotion and tenure. For example, many studies are emerging on the various ways that social media can be effectively used in teaching at all levels. Researchers are using analytical tools to turn social media feeds into useful indicators of human pattern and process. Darling et al. (2013) investigate the usefulness of Twitter for the development and distribution of scientific knowledge, including within the life cycle of scientific publication. However, the author focuses here on the use of social media as related to the traditional forms of academic "service:" i.e., participation on a committee or a board, in strategic planning or development of programs, in coordination of a seminar series or workshop, in professional reviews of books, papers, proposals, delivery of a public lectures to a civic group, giving an interview to a journalist on one's research or practice, even providing testimony to a group of policymakers. The author shares personal and institutional/organizational perspectives on how appropriate social media interaction in this context, can be viewed as a necessary (even daily) part of professional practice, and thus yet another moniker of good scientific behavior (especially as a model for students and early-career faculty), and of the "gift culture" of scholarship. For example, the "live tweeting" of ideas and summary points from paper sessions at scholarly meetings is gaining popularity, especially to inform those who could not attend. Other modes of contribution to intellectual communities range from advertising calls for special issues, proposals, participation in specialists meetings, to showcasing the real-time effects of natural disasters via social media feeds embedded in maps. Indeed, there is much discussion of "innovation" in research and in teaching, but can the speed and structure of social

  4. Internet-Based Community Networks: Finding the Social in Social Networks

    NASA Astrophysics Data System (ADS)

    Lawrence, K. Faith

    In this chapter we explore the concept of community within social networks and the effect that this primarily social construct can have on the way in which we understand trust within an online network. To do this we analyse and compare a number of the definitions that are both traditionally used to identify online communities and which have developed with the advent of semantically described social networks. Taking these definitions we apply them to a number of groups within a visualisation of a social network and, using this case study, consider the differences that are apparent between the types of groups. Finally, we discuss how the social implications inherent within the definition of community interact with the trust and reputation systems that exist in such networks. In doing so, we focus on the social aspect of the social network and the ways in which the social and technical worlds entwine.

  5. An Introduction to Social Network Data Analytics

    NASA Astrophysics Data System (ADS)

    Aggarwal, Charu C.

    The advent of online social networks has been one of the most exciting events in this decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have become increasingly popular. In addition, a number of multimedia networks such as Flickr have also seen an increasing level of popularity in recent years. Many such social networks are extremely rich in content, and they typically contain a tremendous amount of content and linkage data which can be leveraged for analysis. The linkage data is essentially the graph structure of the social network and the communications between entities; whereas the content data contains the text, images and other multimedia data in the network. The richness of this network provides unprecedented opportunities for data analytics in the context of social networks. This book provides a data-centric view of online social networks; a topic which has been missing from much of the literature. This chapter provides an overview of the key topics in this field, and their coverage in this book.

  6. The ART of Social Networking: How SART member clinics are connecting with patients online

    PubMed Central

    OMURTAG, Kenan; JIMENEZ, Patricia T.; RATTS, Valerie; ODEM, Randall; COOPER, Amber R.

    2013-01-01

    Objective To study and describe the use of social networking websites among SART member clinics Design Cross-sectional study Setting University Based Practice Patients Not Applicable Interventions Not Applicable Main Outcome Measure Prevalence of social networking websites among SART member clinics and evaluation of content, volume and location (i.e mandated state, region) using multivariate regression analysis Results 384 SART registered clinics and 1,382 social networking posts were evaluated. Of the clinics, 96% have a website and 30% link to a social networking website. The majority of clinics (89%) with social networking websites were affiliated with non-academic centers. Social networking posts mostly provide information (31%) and/or advertise (28%), while the remaining offer support (19%) or are irrelevant (17%) to the target audience. Only 5% of posts involved patients requesting information. Clinic volume correlates with the presence of a clinic website and a social networking website (p<0.001). Conclusion Almost all SART member clinics have a website. Nearly one-third of these clinics host a social networking website like Facebook, Twitter and/or a Web-log (“blog”). Larger volume clinics commonly host social networking websites. These sites provide new ways to communicate with patients, but clinics should maintain policies on the incorporation of social networks into practice. PMID:22088209

  7. System Integration and Network Planning in the Academic Health Center

    PubMed Central

    Testa, Marcia A.; Spackman, Thomas J.

    1985-01-01

    The transfer of information within the academic health center is complicated by the complex nature of the institution's multi-dimensional role. The diverse functions of patient care, administration, education and research result in a complex web of information exchange which requires an integrated approach to system management. System integration involves a thorough assessment of “end user” needs in terms of hardware and software as well as specification of the communications network architecture. The network will consist of a series of end user nodes which capture, process, archive and display information. This paper will consider some requirements of these nodes, also called intelligent workstations, relating to their management and integration into a total health care network.

  8. Parental Social Network and Child's Friendship Network.

    ERIC Educational Resources Information Center

    Uhlendorff, Harald; Oswald, Hans

    This study analyzed the relation between the friendship networks of parents and the peer networks of their children. Subjects were 255 second- through fifth-grade children of an inner-city primary school in the western part of Berlin, Germany, who were interviewed about friends. In the interview, children were asked to name other children with…

  9. Effect of Peer Nominations of Teacher-Student Support at Individual and Classroom Levels on Social and Academic Outcomes

    PubMed Central

    Hughes, Jan N.; Im, Myung Hee; Wehrly, Sarah E.

    2014-01-01

    This longitudinal study examined the prospective relations between 713 elementary students’ individual peer teacher support reputation (PTSR) and a measure of the classroom-wide dispersion of peer nominations of teacher support (Centralization of Teacher Support) on students’ peer relatedness (i.e., peer acceptance and peer academic reputation) and academic motivation (i.e., academic self-efficacy and teacher-rated behavioral engagement). PTSR was measured as the proportion of classmates who nominated a given student on a descriptor of teacher-student support. Centralization of Teacher Support was assessed using social network analysis to identify the degree to which peer nominations of teacher support in a classroom centered on a few students. PTSR predicted changes in all student outcomes, above academic achievement and relevant covariates. Centralization of Teacher Support predicted changes in students’ peer academic reputation, net the effect of PTSR and covariates. Students’ academic achievement moderated effects of PTSR and Centralization of Teacher Support on some outcomes. Findings highlight the importance of peers’ perceptions of teacher support and of the structure of those perceptions for children’s social and academic outcomes. Implications for practice are discussed. PMID:24930822

  10. Effect of peer nominations of teacher-student support at individual and classroom levels on social and academic outcomes.

    PubMed

    Hughes, Jan N; Im, Myung Hee; Wehrly, Sarah E

    2014-06-01

    This longitudinal study examined the prospective relations between 713 elementary students' individual peer teacher support reputation (PTSR) and a measure of the classroom-wide dispersion of peer nominations of teacher support (Centralization of Teacher Support) on students' peer relatedness (i.e., peer acceptance and peer academic reputation) and academic motivation (i.e., academic self-efficacy and teacher-rated behavioral engagement). PTSR was measured as the proportion of classmates who nominated a given student on a descriptor of teacher-student support. Centralization of Teacher Support was assessed using social network analysis to identify the degree to which peer nominations of teacher support in a classroom centered on a few students. PTSR predicted changes in all student outcomes, above academic achievement and relevant covariates. Centralization of Teacher Support predicted changes in students' peer academic reputation, net the effect of PTSR and covariates. Students' academic achievement moderated effects of PTSR and Centralization of Teacher Support on some outcomes. Findings highlight the importance of peers' perceptions of teacher support and of the structure of those perceptions for children's social and academic outcomes. Implications for practice are discussed.

  11. Evolution of individual versus social learning on social networks

    PubMed Central

    Tamura, Kohei; Kobayashi, Yutaka; Ihara, Yasuo

    2015-01-01

    A number of studies have investigated the roles played by individual and social learning in cultural phenomena and the relative advantages of the two learning strategies in variable environments. Because social learning involves the acquisition of behaviours from others, its utility depends on the availability of ‘cultural models’ exhibiting adaptive behaviours. This indicates that social networks play an essential role in the evolution of learning. However, possible effects of social structure on the evolution of learning have not been fully explored. Here, we develop a mathematical model to explore the evolutionary dynamics of learning strategies on social networks. We first derive the condition under which social learners (SLs) are selectively favoured over individual learners in a broad range of social network. We then obtain an analytical approximation of the long-term average frequency of SLs in homogeneous networks, from which we specify the condition, in terms of three relatedness measures, for social structure to facilitate the long-term evolution of social learning. Finally, we evaluate our approximation by Monte Carlo simulations in complete graphs, regular random graphs and scale-free networks. We formally show that whether social structure favours the evolution of social learning is determined by the relative magnitudes of two effects of social structure: localization in competition, by which competition between learning strategies is evaded, and localization in cultural transmission, which slows down the spread of adaptive traits. In addition, our estimates of the relatedness measures suggest that social structure disfavours the evolution of social learning when selection is weak. PMID:25631568

  12. The Social Origins of Networks and Diffusion.

    PubMed

    Centola, Damon

    2015-03-01

    Recent research on social contagion has demonstrated significant effects of network topology on the dynamics of diffusion. However, network topologies are not given a priori. Rather, they are patterns of relations that emerge from individual and structural features of society, such as population composition, group heterogeneity, homophily, and social consolidation. Following Blau and Schwartz, the author develops a model of social network formation that explores how social and structural constraints on tie formation generate emergent social topologies and then explores the effectiveness of these social networks for the dynamics of social diffusion. Results show that, at one extreme, high levels of consolidation can create highly balkanized communities with poor integration of shared norms and practices. As suggested by Blau and Schwartz, reducing consolidation creates more crosscutting circles and significantly improves the dynamics of social diffusion across the population. However, the author finds that further reducing consolidation creates highly intersecting social networks that fail to support the widespread diffusion of norms and practices, indicating that successful social diffusion can depend on moderate to high levels of structural consolidation.

  13. Achievement and Social Goals of Younger and Older Elementary Students: Response to Academic and Social Failure

    ERIC Educational Resources Information Center

    Zentall, Sydney S.; Beike, Suzanne M.

    2012-01-01

    Children with mild disabilities experience sufficient failure to produce negative future expectations (goals), which may compound early academic and social deficits. This research compared the teacher- and student-rated goals of 57 children at two age levels, who were average learners, had a reading problem/disability (RP), and were hyperactive or…

  14. Social Network Analysis for Program Implementation

    PubMed Central

    Valente, Thomas W.; Palinkas, Lawrence A.; Czaja, Sara; Chu, Kar-Hai; Brown, C. Hendricks

    2015-01-01

    This paper introduces the use of social network analysis theory and tools for implementation research. The social network perspective is useful for understanding, monitoring, influencing, or evaluating the implementation process when programs, policies, practices, or principles are designed and scaled up or adapted to different settings. We briefly describe common barriers to implementation success and relate them to the social networks of implementation stakeholders. We introduce a few simple measures commonly used in social network analysis and discuss how these measures can be used in program implementation. Using the four stage model of program implementation (exploration, adoption, implementation, and sustainment) proposed by Aarons and colleagues [1] and our experience in developing multi-sector partnerships involving community leaders, organizations, practitioners, and researchers, we show how network measures can be used at each stage to monitor, intervene, and improve the implementation process. Examples are provided to illustrate these concepts. We conclude with expected benefits and challenges associated with this approach. PMID:26110842

  15. Organ trade using social networks.

    PubMed

    Alrogy, Waleed; Jawdat, Dunia; Alsemari, Muhannad; Alharbi, Abdulrahman; Alasaad, Abdullah; Hajeer, Ali H

    2016-01-01

    Organ transplantation is recognized worldwide as an effective treatment for organ failure. However, due to the increase in the number of patients requiring a transplant, a shortage of suitable organs for transplantation has become a global problem. Human organ trade is an illegal practice of buying or selling organs and is universally sentenced. The aim of this study was to search social network for organ trade and offerings in Saudi Arabia. The study was conducted from June 22, 2015 to February 19, 2016. The search was conducted on Twitter, Google answers, and Facebook using the following terms: kidney for sale, kidneys for sale, liver for sale, kidney wanted, liver wanted, kidney donor, and liver donor. We found a total of 557 adverts on organ trade, 165 (30%) from donors or sellers, and 392 (70%) from recipients or buyers. On Twitter, we found 472 (85%) adverts, on Google answers 61 (11%), and on Facebook 24 (4%). Organ trade is a global problem, and yet it is increasingly seen in many countries. Although the Saudi Center for Organ Transplantation by-laws specifically prohibits and monitors any form of commercial transplantation, it is still essential to enforce guidelines for medical professionals to detect and prevent such criminal acts.

  16. Social network structures and bank runs

    NASA Astrophysics Data System (ADS)

    Li, Shouwei; Li, Jiaheng

    2016-05-01

    This paper investigates the impact of social network structures of depositors on bank runs. The analyzed network structures include random networks, small-world networks and scale-free networks. Simulation results show that the probability of bank run occurrence in random networks is larger than that in small-world networks, but the probability of bank run occurrence in scale-free networks drops from the highest to the lowest among the three types of network structures with the increase of the proportion of impatient depositors. The average degree of depositor networks has a significant impact on bank runs, but this impact is related to the proportion of impatient depositors and the confidence levels of depositors in banks.

  17. Modeling Social Network Topologies in Elementary Schools

    PubMed Central

    Huerta-Quintanilla, Rodrigo; Canto-Lugo, Efrain; Viga-de Alva, Dolores

    2013-01-01

    Complex networks are used to describe interactions in many real world systems, including economic, biological and social systems. An analysis was done of inter-student friendship, enmity and kinship relationships at three elementary schools by building social networks of these relationships and studying their properties. Friendship network measurements were similar between schools and produced a Poisson topology with a high clustering index. Enmity network measurements were also similar between schools and produced a power law topology. Spatial confinement and the sense of belonging to a social group played vital roles in shaping these networks. Two models were developed which generate complex friendship and enmity networks that reproduce the properties observed at the three studied elementary schools. PMID:23408976

  18. Modeling social network topologies in elementary schools.

    PubMed

    Huerta-Quintanilla, Rodrigo; Canto-Lugo, Efrain; Viga-de Alva, Dolores

    2013-01-01

    Complex networks are used to describe interactions in many real world systems, including economic, biological and social systems. An analysis was done of inter-student friendship, enmity and kinship relationships at three elementary schools by building social networks of these relationships and studying their properties. Friendship network measurements were similar between schools and produced a Poisson topology with a high clustering index. Enmity network measurements were also similar between schools and produced a power law topology. Spatial confinement and the sense of belonging to a social group played vital roles in shaping these networks. Two models were developed which generate complex friendship and enmity networks that reproduce the properties observed at the three studied elementary schools.

  19. Social network sampling using spanning trees

    NASA Astrophysics Data System (ADS)

    Jalali, Zeinab S.; Rezvanian, Alireza; Meybodi, Mohammad Reza

    2016-12-01

    Due to the large scales and limitations in accessing most online social networks, it is hard or infeasible to directly access them in a reasonable amount of time for studying and analysis. Hence, network sampling has emerged as a suitable technique to study and analyze real networks. The main goal of sampling online social networks is constructing a small scale sampled network which preserves the most important properties of the original network. In this paper, we propose two sampling algorithms for sampling online social networks using spanning trees. The first proposed sampling algorithm finds several spanning trees from randomly chosen starting nodes; then the edges in these spanning trees are ranked according to the number of times that each edge has appeared in the set of found spanning trees in the given network. The sampled network is then constructed as a sub-graph of the original network which contains a fraction of nodes that are incident on highly ranked edges. In order to avoid traversing the entire network, the second sampling algorithm is proposed using partial spanning trees. The second sampling algorithm is similar to the first algorithm except that it uses partial spanning trees. Several experiments are conducted to examine the performance of the proposed sampling algorithms on well-known real networks. The obtained results in comparison with other popular sampling methods demonstrate the efficiency of the proposed sampling algorithms in terms of Kolmogorov-Smirnov distance (KSD), skew divergence distance (SDD) and normalized distance (ND).

  20. Fundamental structures of dynamic social networks.

    PubMed

    Sekara, Vedran; Stopczynski, Arkadiusz; Lehmann, Sune

    2016-09-06

    Social systems are in a constant state of flux, with dynamics spanning from minute-by-minute changes to patterns present on the timescale of years. Accurate models of social dynamics are important for understanding the spreading of influence or diseases, formation of friendships, and the productivity of teams. Although there has been much progress on understanding complex networks over the past decade, little is known about the regularities governing the microdynamics of social networks. Here, we explore the dynamic social network of a densely-connected population of ∼1,000 individuals and their interactions in the network of real-world person-to-person proximity measured via Bluetooth, as well as their telecommunication networks, online social media contacts, geolocation, and demographic data. These high-resolution data allow us to observe social groups directly, rendering community detection unnecessary. Starting from 5-min time slices, we uncover dynamic social structures expressed on multiple timescales. On the hourly timescale, we find that gatherings are fluid, with members coming and going, but organized via a stable core of individuals. Each core represents a social context. Cores exhibit a pattern of recurring meetings across weeks and months, each with varying degrees of regularity. Taken together, these findings provide a powerful simplification of the social network, where cores represent fundamental structures expressed with strong temporal and spatial regularity. Using this framework, we explore the complex interplay between social and geospatial behavior, documenting how the formation of cores is preceded by coordination behavior in the communication networks and demonstrating that social behavior can be predicted with high precision.

  1. Fundamental structures of dynamic social networks

    PubMed Central

    Sekara, Vedran; Stopczynski, Arkadiusz; Lehmann, Sune

    2016-01-01

    Social systems are in a constant state of flux, with dynamics spanning from minute-by-minute changes to patterns present on the timescale of years. Accurate models of social dynamics are important for understanding the spreading of influence or diseases, formation of friendships, and the productivity of teams. Although there has been much progress on understanding complex networks over the past decade, little is known about the regularities governing the microdynamics of social networks. Here, we explore the dynamic social network of a densely-connected population of ∼1,000 individuals and their interactions in the network of real-world person-to-person proximity measured via Bluetooth, as well as their telecommunication networks, online social media contacts, geolocation, and demographic data. These high-resolution data allow us to observe social groups directly, rendering community detection unnecessary. Starting from 5-min time slices, we uncover dynamic social structures expressed on multiple timescales. On the hourly timescale, we find that gatherings are fluid, with members coming and going, but organized via a stable core of individuals. Each core represents a social context. Cores exhibit a pattern of recurring meetings across weeks and months, each with varying degrees of regularity. Taken together, these findings provide a powerful simplification of the social network, where cores represent fundamental structures expressed with strong temporal and spatial regularity. Using this framework, we explore the complex interplay between social and geospatial behavior, documenting how the formation of cores is preceded by coordination behavior in the communication networks and demonstrating that social behavior can be predicted with high precision. PMID:27555584

  2. Regional Use of Social Networking Tools

    DTIC Science & Technology

    2014-12-01

    Tools 2 2.1 Social Networking Global Leaders 2 2.1.1 Facebook 2 2.1.2 Google+ 3 2.1.3 Twitter 3 2.1.4 LinkedIn 4 2.1.5 YouTube 4 2.1.6 Pinterest...for Top SNSs 2 Table 2: Facebook Penetration Among Internet Users by Region 3 Table 3: SNS Adoption in African Countries 7 Table 4: Rankings of the...social network. Table 1: Monthly Number of Active Users for Top SNSs Social Network Monthly Active Users Facebook 1.28 billion Google+ 540 million

  3. Social Support and Social Networks in COPD: A Scoping Review.

    PubMed

    Barton, Christopher; Effing, Tanya W; Cafarella, Paul

    2015-01-01

    A scoping review was conducted to determine the size and nature of the evidence describing associations between social support and networks on health, management and clinical outcomes amongst patients with COPD. Searches of PubMed, PsychInfo and CINAHL were undertaken for the period 1966-December 2013. A descriptive synthesis of the main findings was undertaken to demonstrate where there is current evidence for associations between social support, networks and health outcomes, and where further research is needed. The search yielded 318 papers of which 287 were excluded after applying selection criteria. Two areas emerged in which there was consistent evidence of benefit of social support; namely mental health and self-efficacy. There was inconsistent evidence for a relationship between perceived social support and quality of life, physical functioning and self-rated health. Hospital readmission was not associated with level of perceived social support. Only a small number of studies (3 articles) have reported on the social network of individuals with COPD. There remains a need to identify the factors that promote and enable social support. In particular, there is a need to further understand the characteristics of social networks within the broader social structural conditions in which COPD patients live and manage their illness.

  4. Maintenance of cultural diversity: social roles, social networks, and cognitive networks.

    PubMed

    Abrams, Marshall

    2014-06-01

    Smaldino suggests that patterns that give rise to group-level cultural traits can also increase individual-level cultural diversity. I distinguish social roles and related social network structures and discuss ways in which each might maintain diversity. I suggest that cognitive analogs of "cohesion," a property of networks that helps maintenance of diversity, might mediate the effects of social roles on diversity.

  5. HIV/AIDS, social capital, and online social networks.

    PubMed

    Drushel, Bruce E

    2013-01-01

    The prospects for online social networks as sites of information-gathering and affiliation for persons with AIDS and others concerned about HIV/AIDS not only represent the latest development in a trend toward circumventing traditional media and official information sources, but also may offer hope for a revitalization of HIV/AIDS discourse in the public sphere. This article provides an overview of three decades of information-seeking on the pandemic and its social and personal implications, as well as case studies of three examples of social networking surrounding HIV/AIDS. It finds preliminary evidence of the formation of strong and weak ties as described in Social Network Theory and suggests that the online accumulation of social capital by opinion leaders could facilitate dissemination of messages on HIV/AIDS awareness and testing.

  6. Disease dynamics in a dynamic social network

    NASA Astrophysics Data System (ADS)

    Christensen, Claire; Albert, István; Grenfell, Bryan; Albert, Réka

    2010-07-01

    We develop a framework for simulating a realistic, evolving social network (a city) into which a disease is introduced. We compare our results to prevaccine era measles data for England and Wales, and find that they capture the quantitative and qualitative features of epidemics in populations spanning two orders of magnitude. Our results provide unique insight into how and why the social topology of the contact network influences the propagation of the disease through the population. We argue that network simulation is suitable for concurrently probing contact network dynamics and disease dynamics in ways that prior modeling approaches cannot and it can be extended to the study of less well-documented diseases.

  7. Convening a Network within the European Conference on Educational Research: A History of the Social Justice and Intercultural Education Network

    ERIC Educational Resources Information Center

    Bhatti, Ghazala; Leeman, Yvonne

    2011-01-01

    The experience of initiating and sustaining a research-based dialogue on social justice and intercultural education in Europe requires both flexibility and focus. This article highlights the challenges facing convenors of one network, who wish to include researchers from diverse backgrounds, while at the same time enhancing the academic quality of…

  8. Searching social networks for subgraph patterns

    NASA Astrophysics Data System (ADS)

    Ogaard, Kirk; Kase, Sue; Roy, Heather; Nagi, Rakesh; Sambhoos, Kedar; Sudit, Moises

    2013-06-01

    Software tools for Social Network Analysis (SNA) are being developed which support various types of analysis of social networks extracted from social media websites (e.g., Twitter). Once extracted and stored in a database such social networks are amenable to analysis by SNA software. This data analysis often involves searching for occurrences of various subgraph patterns (i.e., graphical representations of entities and relationships). The authors have developed the Graph Matching Toolkit (GMT) which provides an intuitive Graphical User Interface (GUI) for a heuristic graph matching algorithm called the Truncated Search Tree (TruST) algorithm. GMT is a visual interface for graph matching algorithms processing large social networks. GMT enables an analyst to draw a subgraph pattern by using a mouse to select categories and labels for nodes and links from drop-down menus. GMT then executes the TruST algorithm to find the top five occurrences of the subgraph pattern within the social network stored in the database. GMT was tested using a simulated counter-insurgency dataset consisting of cellular phone communications within a populated area of operations in Iraq. The results indicated GMT (when executing the TruST graph matching algorithm) is a time-efficient approach to searching large social networks. GMT's visual interface to a graph matching algorithm enables intelligence analysts to quickly analyze and summarize the large amounts of data necessary to produce actionable intelligence.

  9. So Much Social Media, so Little Time: Using Student Feedback to Guide Academic Library Social Media Strategy

    ERIC Educational Resources Information Center

    Brookbank, Elizabeth

    2015-01-01

    The majority of college students use social media of some kind, and academic libraries are increasingly using social media to reach them. Although studies have analyzed which platforms academic libraries most commonly use and case studies have provided examples of how libraries use specific platforms, there are few examinations of the usage habits…

  10. Social network analysis and dual rover communications

    NASA Astrophysics Data System (ADS)

    Litaker, Harry L.; Howard, Robert L.

    2013-10-01

    Social network analysis (SNA) refers to the collection of techniques, tools, and methods used in sociometry aiming at the analysis of social networks to investigate decision making, group communication, and the distribution of information. Human factors engineers at the National Aeronautics and Space Administration (NASA) conducted a social network analysis on communication data collected during a 14-day field study operating a dual rover exploration mission to better understand the relationships between certain network groups such as ground control, flight teams, and planetary science. The analysis identified two communication network structures for the continuous communication and Twice-a-Day Communication scenarios as a split network and negotiated network respectfully. The major nodes or groups for the networks' architecture, transmittal status, and information were identified using graphical network mapping, quantitative analysis of subjective impressions, and quantified statistical analysis using Sociometric Statue and Centrality. Post-questionnaire analysis along with interviews revealed advantages and disadvantages of each network structure with team members identifying the need for a more stable continuous communication network, improved robustness of voice loops, and better systems training/capabilities for scientific imagery data and operational data during Twice-a-Day Communications.

  11. Social networking policies in nursing education.

    PubMed

    Frazier, Blake; Culley, Joan M; Hein, Laura C; Williams, Amber; Tavakoli, Abbas S

    2014-03-01

    Social networking use has increased exponentially in the past few years. A literature review related to social networking and nursing revealed a research gap between nursing practice and education. Although there was information available on the appropriate use of social networking sites, there was limited research on the use of social networking policies within nursing education. The purpose of this study was to identify current use of social media by faculty and students and a need for policies within nursing education at one institution. A survey was developed and administered to nursing students (n = 273) and nursing faculty (n = 33). Inferential statistics included χ², Fisher exact test, t test, and General Linear Model. Cronbach's α was used to assess internal consistency of social media scales. The χ² result indicates that there were associations with the group and several social media items. t Test results indicate significant differences between student and faculty for average of policies are good (P = .0127), policies and discipline (P = .0315), and policy at the study school (P = .0013). General Linear Model analyses revealed significant differences for "friend" a patient with a bond, unprofessional posts, policy, and nursing with class level. Results showed that students and faculty supported the development of a social networking policy.

  12. Social networks in improvement of health care.

    PubMed

    Masic, Izet; Sivic, Suad; Toromanovic, Selim; Borojevic, Tea; Pandza, Haris

    2012-01-01

    Social network is a social structure made of individuals or organizations associated with one or more types of interdependence (friendship, common interests, work, knowledge, prestige, etc.) which are the "nodes" of the network. Networks can be organized to exchange information, knowledge or financial assistance under the various interest groups in universities, workplaces and associations of citizens. Today the most popular and widely used networks are based on application of the Internet as the main ICT. Depending on the method of connection, their field of activity and expertise of those who participate in certain networks, the network can be classified into the following groups: a) Social Networks with personal physical connectivity (the citizens' associations, transplant networks, etc.), b) Global social internet network (Facebook, Twitter, Skype), c) specific health internet social network (forums, Health Care Forums, Healthcare Industry Forum), d) The health community internet network of non professionals (DailyStrength, CaringBridge, CarePages, MyFamilyHealth), e) Scientific social internet network (BiomedExperts, ResearchGate, iMedExchange), f) Social internet network which supported professionals (HealthBoards, Spas and Hope Association of Disabled and diabetic Enurgi), g) Scientific medical internet network databases in the system of scientific and technical information (CC, Pubmed/Medline, Excerpta Medica/EMBASE, ISI Web Knowledge, EBSCO, Index Copernicus, Social Science Index, etc.). The information in the network are exchanged in real time and in a way that has until recently been impossible in real life of people in the community. Networks allow tens of thousands of specific groups of people performing a series of social, professional and educational activities in the place of living and housing, place of work or other locations where individuals are. Network provides access to information related to education, health, nutrition, drugs, procedures

  13. A SOCIAL NETWORK ANALYSIS APPROACH TO UNDERSTAND CHANGES IN A CANCER DISPARITIES COMMUNITY PARTNERSHIP NETWORK.

    PubMed

    Luque, John S; Tyson, Dinorah Martinez; Bynum, Shalanda A; Noel-Thomas, Shalewa; Wells, Kristen J; Vadaparampil, Susan T; Gwede, Clement K; Meade, Cathy D

    2011-11-01

    The Tampa Bay Community Cancer Network (TBCCN) is one of the Community Network Program sites funded (2005-10) by the National Cancer Institute's Center to Reduce Cancer Health Disparities. TBCCN was tasked to form a sustainable, community-based partnership network focused on the goal of reducing cancer health disparities among racial-ethnic minority and medically underserved populations. This article reports evaluation outcome results from a social network analysis and discusses the varying TBCCN partner roles-in education, training, and research-over a span of three years (2007-09). The network analysis included 20 local community partner organizations covering a tricounty area in Southwest Florida. In addition, multiple externally funded, community-based participatory research pilot projects with community-academic partners have either been completed or are currently in progress, covering research topics including culturally targeted colorectal and prostate cancer screening education, patient navigation focused on preventing cervical cancer in rural Latinas, and community perceptions of biobanking. The social network analysis identified a trend toward increased network decentralization based on betweenness centrality and overall increase in number of linkages, suggesting network sustainability. Degree centrality, trust, and multiplexity exhibited stability over the three-year time period. These results suggest increased interaction and interdependence among partner organizations and less dependence on the cancer center. Social network analysis enabled us to quantitatively evaluate partnership network functioning of TBCCN in terms of network structure and information and resources flows, which are integral to understanding effective coalition practice based on Community Coalition Action Theory ( Butterfoss and Kegler 2009). Sharing the results of the social network analysis with the partnership network is an important component of our coalition building efforts. A

  14. Oral Academic Discourse Socialization of In-Service Teachers in a TEFL Program

    ERIC Educational Resources Information Center

    Ahmadi, Parviz; Samad, Arshad Abd.

    2015-01-01

    Oral academic discourse socialization refers to a process through which students learn about the conventions and practices of their disciplinary fields while doing academic spoken practices. In this study, it refers to the interactions of the participant teachers with their peers and instructors as well as their engagement with academic texts.…

  15. Hypothesis testing in animal social networks.

    PubMed

    Croft, Darren P; Madden, Joah R; Franks, Daniel W; James, Richard

    2011-10-01

    Behavioural ecologists are increasingly using social network analysis to describe the social organisation of animal populations and to test hypotheses. However, the statistical analysis of network data presents a number of challenges. In particular the non-independent nature of the data violates the assumptions of many common statistical approaches. In our opinion there is currently confusion and uncertainty amongst behavioural ecologists concerning the potential pitfalls when hypotheses testing using social network data. Here we review what we consider to be key considerations associated with the analysis of animal social networks and provide a practical guide to the use of null models based on randomisation to control for structure and non-independence in the data.

  16. An Exploration into the Influence of Academic and Social Values, Procrastination, and Perceived School Belongingness on Academic Performance

    ERIC Educational Resources Information Center

    Kennedy, Gary J.; Tuckman, Bruce W.

    2013-01-01

    The results of a structural equation model showed that a tendency to procrastinate, assessed early in college students' first term, was positively related to social values, assessed as concerns over social exclusion, but was negatively related to academic task values and grade goal-setting. The results suggest that procrastination may be a…

  17. A Social Network System Based on an Ontology in the Korea Institute of Oriental Medicine

    NASA Astrophysics Data System (ADS)

    Kim, Sang-Kyun; Han, Jeong-Min; Song, Mi-Young

    We in this paper propose a social network based on ontology in Korea Institute of Oriental Medicine (KIOM). By using the social network, researchers can find collaborators and share research results with others so that studies in Korean Medicine fields can be activated. For this purpose, first, personal profiles, scholarships, careers, licenses, academic activities, research results, and personal connections for all of researchers in KIOM are collected. After relationship and hierarchy among ontology classes and attributes of classes are defined through analyzing the collected information, a social network ontology are constructed using FOAF and OWL. This ontology can be easily interconnected with other social network by FOAF and provide the reasoning based on OWL ontology. In future, we construct the search and reasoning system using the ontology. Moreover, if the social network is activated, we will open it to whole Korean Medicine fields.

  18. Information Processing in Social Insect Networks

    PubMed Central

    Waters, James S.; Fewell, Jennifer H.

    2012-01-01

    Investigating local-scale interactions within a network makes it possible to test hypotheses about the mechanisms of global network connectivity and to ask whether there are general rules underlying network function across systems. Here we use motif analysis to determine whether the interactions within social insect colonies resemble the patterns exhibited by other animal associations or if they exhibit characteristics of biological regulatory systems. Colonies exhibit a predominance of feed-forward interaction motifs, in contrast to the densely interconnected clique patterns that characterize human interaction and animal social networks. The regulatory motif signature supports the hypothesis that social insect colonies are shaped by selection for network patterns that integrate colony functionality at the group rather than individual level, and demonstrates the utility of this approach for analysis of selection effects on complex systems across biological levels of organization. PMID:22815740

  19. Analysis of social networks among physicians employed at a medical school.

    PubMed

    Yuce, Yilmaz Kemal; Zayim, Nese; Oguz, Basak; Bozkurt, Selen; Isleyen, Filiz; Gulkesen, K Hakan

    2014-01-01

    Social network analysis is a well-known method for discovering the social complexities of relationships. In this paper, we present the results of its application in a healthcare environment, i.e. a state university hospital. The sociometric method was adopted to collect social network data. The analysis was performed using Pajek. The medical practice/academic and technological networks among physicians of a state university hospital were explored. Monomorphic and polymorphic opinion leaders (OLs) within the networks were identified using the in-degree measure. Cohesiveness were investigated based on network density and average degree. In addition, it was checked if the mentor system may present impact on the formation of social networks among physicians.

  20. Social Network Privacy via Evolving Access Control

    NASA Astrophysics Data System (ADS)

    di Crescenzo, Giovanni; Lipton, Richard J.

    We study the problem of limiting privacy loss due to data shared in a social network, where the basic underlying assumptions are that users are interested in sharing data and cannot be assumed to constantly follow appropriate privacy policies. Note that if these two assumptions do not hold, social network privacy is theoretically very easy to achieve; for instance, via some form of access control and confidentiality transformation on the data.

  1. Brand communities embedded in social networks.

    PubMed

    Zaglia, Melanie E

    2013-02-01

    Brand communities represent highly valuable marketing, innovation management, and customer relationship management tools. However, applying successful marketing strategies today, and in the future, also means exploring and seizing the unprecedented opportunities of social network environments. This study combines these two social phenomena which have largely been researched separately, and aims to investigate the existence, functionality and different types of brand communities within social networks. The netnographic approach yields strong evidence of this existence; leading to a better understanding of such embedded brand communities, their peculiarities, and motivational drivers for participation; therefore the findings contribute to theory by combining two separate research streams. Due to the advantages of social networks, brand management is now able to implement brand communities with less time and financial effort; however, choosing the appropriate brand community type, cultivating consumers' interaction, and staying tuned to this social engagement are critical factors to gain anticipated brand outcomes.

  2. #SocialMedia for the Academic Plastic Surgeon—Elevating the Brand

    PubMed Central

    Humphries, Laura S.; Curl, Brandon

    2016-01-01

    Summary: The link between social media and surgery has been under increasingly popular discussion. This article discusses the potential role of social media in creating and maintaining the brand of an academic plastic surgeon. PMID:27104098

  3. Psychopathology and academic performance, social well-being, and social preference at school: the TRAILS study.

    PubMed

    Sijtsema, J J; Verboom, C E; Penninx, B W J H; Verhulst, F C; Ormel, J

    2014-06-01

    Psychopathology during adolescence has been associated with poor academic performance, low social well-being, and low social preference by peers at school. However, previous research has not accounted for comorbid psychopathology, informant-specific associations between psychopathology and functioning, and gender and age differences. This study addresses these limitations by examining adolescents' psychopathology and functioning at school, reported by child, parent, teacher, and peers during primary and secondary school in a large Dutch longitudinal cohort study (N = 2230). Teacher reports of psychopathology, especially regarding attention problems and withdrawn/depressed problems, followed by parent reports regarding hyperactivity, were most strongly associated with academic performance. The same held for social preference which was associated with teacher and parent ratings of withdrawn/depressed problems and hyperactivity. In contrast, social well-being was best predicted by child reports (at primary school) of affective problems. In girls, the association between ADHD problems and poor academic performance was stronger than in boys and conduct problems were more often associated with poor school functioning in general. These findings can help identify adolescents at risk for poor functioning and design interventions that effectively reduce or prevent poor school functioning.

  4. Engaging Students in a Large-Enrollment Physics Class Using an Academically Focused Social Media Platform

    NASA Astrophysics Data System (ADS)

    Gavrin, Andy; Lindell, Rebecca

    2017-03-01

    There are many reasons for an instructor to consider using social media, particularly in a large introductory course. Improved communications can lessen the sense of isolation some students feel in large classes, and students may be more likely to respond to faculty announce-ments in a form that is familiar and comfortable. Furthermore, many students currently establish social media sites for their classes, without the knowledge or participation of their instructors. Such "shadow" sites can be useful, but they can also become distributors of misinformation, or venues for inappropriate or disruptive discussions. CourseNetworking (CN) is a social media platform designed for the academic environment. It combines many features common among learning management systems (LMS's) with an interface that looks and feels more like Facebook than a typical academic system. We have recently begun using CN as a means to engage students in an introductory calculus-based mechanics class, with enrollments of 150-200 students per semester. This article presents basic features of CN, and details our initial experiences and observations.

  5. 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.

  6. Teachers and Coaches in Adolescent Social Networks Are Associated with Healthier Self-Concept and Decreased Substance Use

    ERIC Educational Resources Information Center

    Dudovitz, Rebecca N.; Chung, Paul J.; Wong, Mitchell D.

    2017-01-01

    Background: Poor academic (eg, "I am a bad student") and behavioral (eg, "I am a troublemaker") self-concepts are strongly linked to adolescent substance use. Social networks likely influence self-concept. However, little is understood about the role teachers and athletic coaches play in shaping both academic and behavioral…

  7. Multimedia Information Networks in Social Media

    NASA Astrophysics Data System (ADS)

    Cao, Liangliang; Qi, Guojun; Tsai, Shen-Fu; Tsai, Min-Hsuan; Pozo, Andrey Del; Huang, Thomas S.; Zhang, Xuemei; Lim, Suk Hwan

    The popularity of personal digital cameras and online photo/video sharing community has lead to an explosion of multimedia information. Unlike traditional multimedia data, many new multimedia datasets are organized in a structural way, incorporating rich information such as semantic ontology, social interaction, community media, geographical maps, in addition to the multimedia contents by themselves. Studies of such structured multimedia data have resulted in a new research area, which is referred to as Multimedia Information Networks. Multimedia information networks are closely related to social networks, but especially focus on understanding the topics and semantics of the multimedia files in the context of network structure. This chapter reviews different categories of recent systems related to multimedia information networks, summarizes the popular inference methods used in recent works, and discusses the applications related to multimedia information networks. We also discuss a wide range of topics including public datasets, related industrial systems, and potential future research directions in this field.

  8. Mother's Social Network and Family Language Maintenance

    ERIC Educational Resources Information Center

    Velazquez, Isabel

    2013-01-01

    This article reports the results of a social network analysis (SNA) performed on the mother's primary network of interaction in 15 Mexican American families in the city of El Paso, Texas, the neighbourhood of La Villita, in Chicago, and the city of Lincoln, Nebraska. The goal of this study was to examine potential opportunities for Spanish use by…

  9. The Elderly and Their Informal Social Networks.

    ERIC Educational Resources Information Center

    Thompson, J. Victor

    1989-01-01

    A sample of 334 people aged 56 and older living in British Columbia were interviewed about their supportive social network. Four supportive roles were investigated: caretaker, helper, confident, and advisor. The research supports earlier findings about the vulnerability of widows over 74 years old. They are most in need of networks. (Author/JOW)

  10. A Layered Social and Operational Network Analysis

    DTIC Science & Technology

    2007-03-01

    Library and Information Science Research, 18: 323 – 342 (1996). Herbranson, Travis. Isolating Key Players in Clandestine Networks. MS thesis...07 A LAYERED SOCIAL AND OPERATIONAL NETWORK ANALYSIS THESIS Presented to the Faculty Department of Operational Sciences ...Command In Partial Fulfillment of the Requirements for the Degree of Master of Science in Operations Research Jennifer L. Geffre, BS

  11. Stress and social support among Hispanic student nurses: implications for academic achievement.

    PubMed

    Maville, J; Huerta, C G

    1997-01-01

    This article describes two studies examining the effects of stress and social support on the academic achievement of Hispanic associate degree nursing students. The first study investigated stress, measured by the Life Experiences Survey (LES), and its relationship to academic achievement. Data analysis revealed a relationship between negative stress and academic achievement. Student level and ethnic origin were found to be predictive of stress. Ethnic origin and age also had an effect on academic achievement. Qualitative data indicated that students experienced stresses as a result of the academic environment. The second study investigated the effect of social support, measured by the Norbeck Social Support Questionnaire (NSSQ), on student persistence. No significant relationship was found. Qualitative data revealed less than desired social support in lower achieving students. Conclusions from these studies form the basis for identification of the high risk student and strategies to remediate the academically handicapped Hispanic student.

  12. Network Analysis in Comparative Social Sciences

    ERIC Educational Resources Information Center

    Vera, Eugenia Roldan; Schupp, Thomas

    2006-01-01

    This essay describes the pertinence of Social Network Analysis (SNA) for the social sciences in general, and discusses its methodological and conceptual implications for comparative research in particular. The authors first present a basic summary of the theoretical and methodological assumptions of SNA, followed by a succinct overview of its…

  13. College Students' Social Networking Experiences on Facebook

    ERIC Educational Resources Information Center

    Pempek, Tiffany A.; Yermolayeva, Yevdokiya A.; Calvert, Sandra L.

    2009-01-01

    Millions of contemporary young adults use social networking sites. However, little is known about how much, why, and how they use these sites. In this study, 92 undergraduates completed a diary-like measure each day for a week, reporting daily time use and responding to an activities checklist to assess their use of the popular social networking…

  14. Online Formative Assessments with Social Network Awareness

    ERIC Educational Resources Information Center

    Lin, Jian-Wei; Lai, Yuan-Cheng

    2013-01-01

    Social network awareness (SNA) has been used extensively as one of the strategies to increase knowledge sharing and collaboration opportunities. However, most SNA studies either focus on being aware of peer's knowledge context or on social context. This work proposes online formative assessments with SNA, trying to address the problems of online…

  15. Spatial and Social Networks in Organizational Innovation

    ERIC Educational Resources Information Center

    Wineman, Jean D.; Kabo, Felichism W.; Davis, Gerald F.

    2009-01-01

    Research on the enabling factors of innovation has focused on either the social component of organizations or on the spatial dimensions involved in the innovation process. But no one has examined the aggregate consequences of the link from spatial layout, to social networks, to innovation. This project enriches our understanding of how innovation…

  16. Facebook, Social Networking, and Business Education

    ERIC Educational Resources Information Center

    Taylor, Steven A.; Mulligan, Jamie R.; Ishida, Chiharu

    2012-01-01

    Brown (2012) asserts that faculty perceptions of Web 2.0 for teaching will influence its adoption. For example, social media's influence on educational delivery is growing (Hrastinski and Dennon 2012). Zulu et al. (2011) note that business educators are only beginning to understand social networking related to education. We report an exploratory…

  17. Creating Socially Networked Knowledge through Interdisciplinary Collaboration

    ERIC Educational Resources Information Center

    Chuk, Eric; Hoetzlein, Rama; Kim, David; Panko, Julia

    2012-01-01

    We report on the experience of creating a socially networked system, the Research-oriented Social Environment (RoSE), for representing knowledge in the form of relationships between people, documents, and groups. Developed as an intercampus, interdisciplinary project of the University of California, this work reflects on a collaboration between…

  18. Social media networking: Facebook and Twitter.

    PubMed

    Schneider, Andrew; Jackson, Rem; Baum, Neil

    2010-01-01

    The new wave of marketing and practice promotion will include social media networking. This article will discuss Facebook and Twitter. After reading this article you, will have an understanding of these two important aspects of social media and how you might use Facebook and Twitter in your practice to enhance your communication with your existing patients and attract new patients.

  19. Social Networks and Home-Schooling Relations.

    ERIC Educational Resources Information Center

    Graue, M. Elizabeth

    1993-01-01

    Describes how parents in two communities constructed their roles in a social context shaped by economic resources, local notions of home-school relations, and information networks. Examines parenting as a social activity internalized by individuals through their daily interactions. Shows how family-role perceptions and school practices are…

  20. District Policy and Teachers' Social Networks

    ERIC Educational Resources Information Center

    Coburn, Cynthia E.; Russell, Jennifer Lin

    2008-01-01

    Policy makers increasingly include provisions aimed at fostering professional community as part of reform initiatives. Yet little is known about the impact of policy on teachers' professional relations in schools. Drawing theoretically from social capital theory and methodologically from qualitative social network analysis, this article explores…

  1. Establishing the SouthWestern Academic Health Network (SWAHN): A Survey Exploring the Needs of Academic and Community Networks in SouthWestern Ontario.

    PubMed

    Nicholson, Kathryn; Randhawa, Jasmine; Steele, Margaret

    2015-10-01

    With the evolving fields of health research, health professional education and advanced clinical care comes a need to bring researchers, educators and health care providers together to enhance communication, knowledge-sharing and interdisciplinary collaboration. There is also a need for active collaboration between academic institutions and community organizations to improve health care delivery and health outcomes in the community setting. In Canada, an Academic Health Sciences Network model has been proposed to achieve such activities. The SouthWestern Academic Health Network (SWAHN) has been established among three universities, three community colleges, community hospitals, community-based organizations and health care providers and two Local Health Integrated Networks (LHINs) in Southwestern Ontario. A survey was conducted to understand the characteristics, activities, existing partnerships, short- and long-term goals of the academic and community health networks in SouthWestern Ontario to inform the development of SWAHN moving forward. A total of 114 health networks were identified from the two participating LHINs, 103 community health networks and 11 academic health networks. A mailed survey was sent to all networks and responses were analyzed using both quantitative and qualitative approaches. The short- and long-term goals of these networks were categorized into five main themes: Public Health, Education, Research, System Delivery and Special Populations. Overall, this study helped to elicit important information from the academic and community based networks, which will inform the future work of SWAHN. This research has also demonstrated the significance of collecting information from both academic and community partners during the formation of other interdisciplinary health networks.

  2. Academic and Social Impairments of Elementary School Children with Attention Deficit Hyperactivity Disorder

    ERIC Educational Resources Information Center

    McConaughy, Stephanie H.; Volpe, Robert J.; Antshel, Kevin M.; Gordon, Michael; Eiraldi, Ricardo B.

    2011-01-01

    This study examined academic and social impairments of 6- to 11-year-old children with attention deficit hyperactivity disorder (ADHD; n = 101) versus other referred children without ADHD (n = 53) and controls (n = 24). Parent and teacher ratings showed significantly lower academic performance and lower social functioning for children with ADHD…

  3. The Social and Academic Consequences of Birth Order: Real, Artifactual, or Both?

    ERIC Educational Resources Information Center

    Steelman, Lala Carr; Powell, Brian

    1985-01-01

    Examined impact of birth order on social skills and academic performance of children and adolescents (N=3,568). Results revealed no significant relationship between birth order and academic performance but did reveal a significant positive relationship between birth order and social skills. Leadership skills were related to birth order for males.…

  4. Social Self-Efficacy, Academic Locus of Control, and Internet Addiction

    ERIC Educational Resources Information Center

    Iskender, Murat; Akin, Ahmet

    2010-01-01

    The purpose of this research is to examine the relationship of internet addiction, social self-efficacy, and academic locus of control. Participants were 311 university students who completed a questionnaire package that included the Online Cognition Scale, the Academic Locus of Control Scale, and the Perceived Social Self-efficacy Scale. The…

  5. It's Time We Teach Social-Emotional Competence as Well as We Teach Academic Competence

    ERIC Educational Resources Information Center

    Bernard, Michael E.

    2006-01-01

    This article discusses the non-academic, social-emotional factors that contribute to student academic achievement, including the cognitive-behavioral characteristics of underachieving students and those with learning disabilities; the "You Can Do It! Education" (YCDI) theory of achievement; derivative research on social-emotional capabilities,…

  6. Classroom Victimization: Consequences for Social and Academic Adjustment in Elementary School

    ERIC Educational Resources Information Center

    Reuland, Meg M.; Mikami, Amori Yee

    2014-01-01

    Peer victimization is a well-established risk factor for children's adjustment, but it has rarely been studied as a feature of classroom climate. This study examines the consequences of classroom victimization for children's social and academic adjustment. Classroom victimization, social functioning, and academic adjustment were assessed…

  7. Persistence of Community College Students: The Influence of Student Intent and Academic and Social Integration.

    ERIC Educational Resources Information Center

    Bers, Trudy H.; Smith, Kerry E.

    1991-01-01

    A study examined the extent to which social and academic integration and student educational objectives were predictive of persistence for 1,142 community college students. Student educational objectives discriminated most powerfully between persisters and nonpersisters. Academic and social integration and employment status were also significant…

  8. Personal Best Goals and Academic and Social Functioning: A Longitudinal Perspective

    ERIC Educational Resources Information Center

    Liem, Gregory Arief D.; Ginns, Paul; Martin, Andrew J.; Stone, Barbara; Herrett, Maree

    2012-01-01

    Personal best goals (PB goals) articulate a target performance standard that matches or exceeds one's previous best. This study examined the role of PB goals in academic and social functioning. Alongside academic and social outcome measures, PB goal items were administered to 249 high-school students at the beginning and end of their school year.…

  9. The Impact of College Racial Composition on African American Students' Academic and Social Gains: Additional Evidence.

    ERIC Educational Resources Information Center

    Flowers, Lamont A.

    2002-01-01

    The College Student Experiences Questionnaire (CSEA) was used to estimate the impact of attending a historically Black college or university on social and academic outcomes in college. Findings extend previous research by suggesting attendance at a historically Black college significantly enhances academic and social growth of students. (Author)

  10. Residency as a Social Network: Burnout, Loneliness, and Social Network Centrality

    PubMed Central

    Shapiro, Jordan; Zhang, Bin; Warm, Eric J.

    2015-01-01

    Background Burnout is typically viewed as an individual condition, and no link has been identified between burnout and loneliness. Objective To investigate the association of burnout with loneliness and social network degree and centrality. Methods A survey containing the Maslach Burnout Inventory (MBI), a 3-question loneliness scale, and a social connectivity component was sent to residents in a large urban academic medical center internal medicine residency program. Results The response rate was 77% (95 of 124 residents). We defined significant burnout as MBI subscores of ≥ 27 for emotional exhaustion (EE), ≥ 10 for depersonalization (DP), or both. This was met by 43 (45%), 47 (49%), and 31 (33%) out of 95 respondents, respectively. Those with significant burnout had higher loneliness scores: 5.6 versus 4.5 for EE (P = .002; OR = 1.50; 95% CI 1.15–1.95); 5.4 versus 4.6 for DP (P = .024; OR = 1.33; 95% CI 1.03–1.71); and 5.8 versus 4.6 for both EE and DP (P = .001; OR = 1.54; 95% CI 1.17–2.02). Rating a larger number of coresidents as closer connections on a 5-point Likert scale was not associated with lower burnout scores. No measures of centrality were associated with burnout scores for EE and/or DP. High personal accomplishment subscores on the MBI did correlate significantly with several measures of centrality. Conclusions Burnout was associated with loneliness in a dose-dependent fashion. Greater sense of personal accomplishment was associated with greater network centrality. PMID:26692975

  11. Visual Matrix Clustering of Social Networks

    SciTech Connect

    Wong, Pak C.; Mackey, Patrick S.; Foote, Harlan P.; May, Richard A.

    2013-07-01

    The prevailing choices to graphically represent a social network in today’s literature are a node-link graph layout and an adjacency matrix. Both visualization techniques have unique strengths and weaknesses when applied to different domain applications. In this article, we focus our discussion on adjacency matrix and how to turn the matrix-based visualization technique from merely showing pairwise associations among network actors (or graph nodes) to depicting clusters of a social network. We also use node-link layouts to supplement the discussion.

  12. Social network supported process recommender system.

    PubMed

    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.

  13. Prisoner's dilemma on real social networks: revisited.

    PubMed

    Cameron, Sharon M; Cintron-Arias, Ariel

    2013-01-01

    Prisoner's Dilemma is a game theory model used to describe altruistic behavior seen in various populations. This theoretical game is important in understanding why a seemingly selfish strategy does persist and spread throughout a population that is mixing homogeneously at random. For a population with structure determined by social interactions, Prisoner's Dilemma brings to light certain requirements for the altruistic strategy to become established. Monte Carlo simulations of Prisoner's Dilemma are carried out using both simulated social networks and a dataset of a real social network. In both scenarios we confirm the requirements for the persistence of altruism in a population.

  14. How Do Online Social Networks Grow?

    PubMed Central

    Zhu, Konglin; Li, Wenzhong; Fu, Xiaoming; Nagler, Jan

    2014-01-01

    Online social networks such as Facebook, Twitter and Gowalla allow people to communicate and interact across borders. In past years online social networks have become increasingly important for studying the behavior of individuals, group formation, and the emergence of online societies. Here we focus on the characterization of the average growth of online social networks and try to understand which are possible processes behind seemingly long-range temporal correlated collective behavior. In agreement with recent findings, but in contrast to Gibrat's law of proportionate growth, we find scaling in the average growth rate and its standard deviation. In contrast, Renren and Twitter deviate, however, in certain important aspects significantly from those found in many social and economic systems. Whereas independent methods suggest no significance for temporally long-range correlated behavior for Renren and Twitter, a scaling analysis of the standard deviation does suggest long-range temporal correlated growth in Gowalla. However, we demonstrate that seemingly long-range temporal correlations in the growth of online social networks, such as in Gowalla, can be explained by a decomposition into temporally and spatially independent growth processes with a large variety of entry rates. Our analysis thus suggests that temporally or spatially correlated behavior does not play a major role in the growth of online social networks. PMID:24940744

  15. Teachers, Networks and Social Capital

    ERIC Educational Resources Information Center

    Healey, Kaleen

    2013-01-01

    A growing body of research suggests that school leaders and policymakers should attend to the social conditions within schools that promote instructional improvement and student achievement gains. This dissertation uses theoretical and empirical work on social capital to frame three aspects of the relationships among teachers. The three studies…

  16. Community Structure in Online Collegiate Social Networks

    NASA Astrophysics Data System (ADS)

    Traud, Amanda; Kelsic, Eric; Mucha, Peter; Porter, Mason

    2009-03-01

    Online social networking sites have become increasingly popular with college students. The networks we studied are defined through ``friendships'' indicated by Facebook users from UNC, Oklahoma, Caltech, Georgetown, and Princeton. We apply the tools of network science to study the Facebook networks from these five different universities at a single point in time. We investigate each single-institution network's community structure, which we obtain through partitioning the graph using an eigenvector method. We use both graphical and quantitative tools, including pair-counting methods, which we interpret through statistical analysis and permutation tests to measure the correlations between the network communities and a set of characteristics given by each user (residence, class year, major, and high school). We also analyze the single gender subsets of these networks, and the impact of missing demographical data. Our study allows us to compare the online social networks for the five schools as well as infer differences in offline social interactions. At the schools studied, we were able to define which characteristics of the Facebook users correlate best with friendships.

  17. The regulation of social recognition, social communication and aggression: vasopressin in the social behavior neural network.

    PubMed

    Albers, H Elliott

    2012-03-01

    Neuropeptides in the arginine vasotocin/arginine vasopressin (AVT/AVP) family play a major role in the regulation of social behavior by their actions in the brain. In mammals, AVP is found within a circuit of recriprocally connected limbic structures that form the social behavior neural network. This review examines the role played by AVP within this network in controlling social processes that are critical for the formation and maintenance of social relationships: social recognition, social communication and aggression. Studies in a number of mammalian species indicate that AVP and AVP V1a receptors are ideally suited to regulate the expression of social processes because of their plasticity in response to factors that influence social behavior. The pattern of AVP innervation and V1a receptors across the social behavior neural network may determine the potential range and intensity of social responses that individuals display in different social situations. Although fundamental information on how social behavior is wired in the brain is still lacking, it is clear that different social behaviors can be influenced by the actions of AVP in the same region of the network and that AVP can act within multiple regions of this network to regulate the expression of individual social behaviors. The existing data suggest that AVP can influence social behavior by modulating the interpretation of sensory information, by influencing decision making and by triggering complex motor outputs. This article is part of a Special Issue entitled Oxytocin, Vasopressin, and Social Behavior.

  18. Exploring the Relationships between Students' Academic Motivation and Social Ability in Online Learning Environments

    ERIC Educational Resources Information Center

    Yang, Chia-Chi; Tsai, I-Chun; Kim, Bosung; Cho, Moon-Heum; Laffey, James M.

    2006-01-01

    This research explicates the construct of social ability and describes the relationship between students' academic motivation and social ability in online learning environments. Findings reveal perceived peers social presence, perceived written communication skills, perceived instructor social presence, comfort with sharing personal information,…

  19. Social-Emotional Factors and Academic Outcomes among Elementary-Aged Children

    ERIC Educational Resources Information Center

    McKown, Clark; Russo-Ponsaran, Nicole M.; Allen, Adelaide; Johnson, Jason K.; Warren-Khot, Heather K.

    2016-01-01

    Social-emotional comprehension involves encoding, interpreting, and reasoning about social-emotional information, and self-regulating. This study examined the mediating pathways through which social-emotional comprehension and social behaviour are related to academic outcomes in two ethnically and socioeconomically heterogeneous samples totaling…

  20. Central Institutional Review Board Review for an Academic Trial Network

    PubMed Central

    Kaufmann, Petra; O’Rourke, P. Pearl

    2016-01-01

    Problem Translating discoveries into therapeutics is often delayed by lengthy start-up periods for multicenter clinical trials. One cause of delay can be multiple institutional review board (IRB) reviews of the same protocol. Approach When developing the Network for Excellence in Neuroscience Clinical Trials (NeuroNEXT; hereafter, NN), the National Institute of Neurological Disorders and Stroke (NINDS) established a central IRB (CIRB) based at Massachusetts General Hospital, the academic medical center that received the NN clinical coordinating center grant. The 25 NN sites, located at U.S. academic institutions, agreed to required CIRB use for NN trials. Outcomes To delineate roles and establish legal relationships between the NN sites and the CIRB, the CIRB executed reliance agreements with the sites and their affiliates that hold federalwide assurance for the protection of human subjects (FWA); this took, on average, 84 days. The first NN protocol reviewed by the CIRB achieved full approval to allow participant enrollment within 56 days and went from grant award to the first patient visit in less than four months. The authors describe anticipated challenges related to institutional oversight responsibilities versus regulatory CIRB review as well as unanticipated challenges related to working with complex organizations that include multiple FWA-holding affiliates. Next Steps The authors anticipate that CIRB use will decrease NN trial start-up time and thus promote efficient trial implementation. They plan to collect data on timelines and costs associated with CIRB use. The NINDS plans to promote CIRB use in future initiatives. PMID:25406606

  1. Community core evolution in mobile social networks.

    PubMed

    Xu, Hao; Xiao, Weidong; Tang, Daquan; Tang, Jiuyang; Wang, Zhenwen

    2013-01-01

    Community detection in social networks attracts a lot of attention in the recent years. Existing methods always depict the relationship of two nodes using the temporary connection. However, these temporary connections cannot be fully recognized as the real relationships when the history connections among nodes are considered. For example, a casual visit in Facebook cannot be seen as an establishment of friendship. Hence, our question is the following: how to cluster the real friends in mobile social networks? In this paper, we study the problem of detecting the stable community core in mobile social networks. The cumulative stable contact is proposed to depict the relationship among nodes. The whole process is divided into timestamps. Nodes and their connections can be added or removed at each timestamp, and historical contacts are considered when detecting the community core. Also, community cores can be tracked through the incremental computing, which can help to recognize the evolving of community structure. Empirical studies on real-world social networks demonstrate that our proposed method can effectively detect stable community cores in mobile social networks.

  2. Dynamics of deceptive interactions in social networks.

    PubMed

    Barrio, Rafael A; Govezensky, Tzipe; Dunbar, Robin; Iñiguez, Gerardo; Kaski, Kimmo

    2015-11-06

    In this paper, we examine the role of lies in human social relations by implementing some salient characteristics of deceptive interactions into an opinion formation model, so as to describe the dynamical behaviour of a social network more realistically. In this model, we take into account such basic properties of social networks as the dynamics of the intensity of interactions, the influence of public opinion and the fact that in every human interaction it might be convenient to deceive or withhold information depending on the instantaneous situation of each individual in the network. We find that lies shape the topology of social networks, especially the formation of tightly linked, small communities with loose connections between them. We also find that agents with a larger proportion of deceptive interactions are the ones that connect communities of different opinion, and, in this sense, they have substantial centrality in the network. We then discuss the consequences of these results for the social behaviour of humans and predict the changes that could arise due to a varying tolerance for lies in society.

  3. Understanding Social Contagion in Adoption Processes Using Dynamic Social Networks.

    PubMed

    Herrera, Mauricio; Armelini, Guillermo; Salvaj, Erica

    2015-01-01

    There are many studies in the marketing and diffusion literature of the conditions in which social contagion affects adoption processes. Yet most of these studies assume that social interactions do not change over time, even though actors in social networks exhibit different likelihoods of being influenced across the diffusion period. Rooted in physics and epidemiology theories, this study proposes a Susceptible Infectious Susceptible (SIS) model to assess the role of social contagion in adoption processes, which takes changes in social dynamics over time into account. To study the adoption over a span of ten years, the authors used detailed data sets from a community of consumers and determined the importance of social contagion, as well as how the interplay of social and non-social influences from outside the community drives adoption processes. Although social contagion matters for diffusion, it is less relevant in shaping adoption when the study also includes social dynamics among members of the community. This finding is relevant for managers and entrepreneurs who trust in word-of-mouth marketing campaigns whose effect may be overestimated if marketers fail to acknowledge variations in social interactions.

  4. Understanding Social Contagion in Adoption Processes Using Dynamic Social Networks

    PubMed Central

    2015-01-01

    There are many studies in the marketing and diffusion literature of the conditions in which social contagion affects adoption processes. Yet most of these studies assume that social interactions do not change over time, even though actors in social networks exhibit different likelihoods of being influenced across the diffusion period. Rooted in physics and epidemiology theories, this study proposes a Susceptible Infectious Susceptible (SIS) model to assess the role of social contagion in adoption processes, which takes changes in social dynamics over time into account. To study the adoption over a span of ten years, the authors used detailed data sets from a community of consumers and determined the importance of social contagion, as well as how the interplay of social and non-social influences from outside the community drives adoption processes. Although social contagion matters for diffusion, it is less relevant in shaping adoption when the study also includes social dynamics among members of the community. This finding is relevant for managers and entrepreneurs who trust in word-of-mouth marketing campaigns whose effect may be overestimated if marketers fail to acknowledge variations in social interactions. PMID:26505473

  5. Opinions of University Graduates about Social Networks According to Their Personal Characteristics

    ERIC Educational Resources Information Center

    Isbulan, Onur

    2011-01-01

    This research aims to determine opinions of university graduates about social networks according to their personal characteristics. The research was conducted on 203 university graduates who received teacher training at Sakarya University in 2010-2011 academic year. Two different data collection tools were administered to the participating…

  6. Principal Perspectives on Social Networking and the Disruptive Effects of Cyberbullying

    ERIC Educational Resources Information Center

    Welker, Heidi Stevenson

    2010-01-01

    Cyberbullying on social networking sites such as MySpace and Facebook has had negative effects on children at school. Cyberbullying disruption during the school day adds to the complexity of maintaining school operations, safety, and academic achievement. With the advancement of technology, there is a gap in the literature on the disruption in…

  7. Globalizing Social Justice Education: The Case of The Global Solidarity Network Study e-Broad Program

    ERIC Educational Resources Information Center

    Harrison, Yvonne D.; Kostic, Kevin; Toton, Suzanne C.; Zurek, Jerome

    2010-01-01

    This paper documents the development, implementation, and evaluation of "The Global Solidarity Network Study e-Broad Program (GSNSeBP)", an online social justice educational program that is blended into an onsite academic course. This global electronic program, which was developed through a partnership between Catholic Relief Services (CRS) and…

  8. The Effects of a Social Learning Network on Students' Performances and Attitudes

    ERIC Educational Resources Information Center

    Durak, Gürhan; Cankaya, Serkan; Yunkul, Eyup; Ozturk, Gülcan

    2017-01-01

    Despite the widespread use of Social Learning Networks (SLNs), there is little research on the effectiveness of these sites in related literature. Therefore, there is a need for studies investigating but use of SLNs in educational environments and their effects on learners' academic achievements. In this study, the purpose was to investigate the…

  9. Impact of Online Social Network on American College Students' Reading Practices

    ERIC Educational Resources Information Center

    Huang, SuHua; Capps, Matthew

    2013-01-01

    The purpose of this study was to investigate social networking sites (SNS) and ways college students spend their time on both conventional academic and recreational reading. A total of 1,265 (466 male and 799 female) college students voluntarily participated in the study by completing a self-report survey. Descriptive analysis indicated that the…

  10. Conformity biased transmission in social networks.

    PubMed

    Whalen, Andrew; Laland, Kevin

    2015-09-07

    In this paper we explore how the structure of a population can differentially influence the spread of novel behaviors, depending on the learning strategy of each individual. We use a series of simulations to analyze how frequency dependent learning rules might affect how easily novel behaviors can spread through a population on four artificial social networks, and three real social networks. We measured the likelihood that a novel behavior could spread through the population, and the likelihood that there were multiple behavioral variants in the population, a measure of cultural diversity. Surprisingly, we find few differences between networks on either measure. However, we do find that where a behavior originated on a network can have a substantial impact on the likelihood that it spreads, and that this location effect depends on the learning strategy of an individual. These results suggest that for first-order analysis of how behaviors spread through a population, social network structure can be ignored, but that the social network structure may be useful for more fine-tuned analyses and predictions.

  11. Social contagions on interdependent lattice networks

    NASA Astrophysics Data System (ADS)

    Shu, Panpan; Gao, Lei; Zhao, Pengcheng; Wang, Wei; Stanley, H. Eugene

    2017-03-01

    Although an increasing amount of research is being done on the dynamical processes on interdependent spatial networks, knowledge of how interdependent spatial networks influence the dynamics of social contagion in them is sparse. Here we present a novel non-Markovian social contagion model on interdependent spatial networks composed of two identical two-dimensional lattices. We compare the dynamics of social contagion on networks with different fractions of dependency links and find that the density of final recovered nodes increases as the number of dependency links is increased. We use a finite-size analysis method to identify the type of phase transition in the giant connected components (GCC) of the final adopted nodes and find that as we increase the fraction of dependency links, the phase transition switches from second-order to first-order. In strong interdependent spatial networks with abundant dependency links, increasing the fraction of initial adopted nodes can induce the switch from a first-order to second-order phase transition associated with social contagion dynamics. In networks with a small number of dependency links, the phase transition remains second-order. In addition, both the second-order and first-order phase transition points can be decreased by increasing the fraction of dependency links or the number of initially-adopted nodes.

  12. Social contagions on interdependent lattice networks.

    PubMed

    Shu, Panpan; Gao, Lei; Zhao, Pengcheng; Wang, Wei; Stanley, H Eugene

    2017-03-16

    Although an increasing amount of research is being done on the dynamical processes on interdependent spatial networks, knowledge of how interdependent spatial networks influence the dynamics of social contagion in them is sparse. Here we present a novel non-Markovian social contagion model on interdependent spatial networks composed of two identical two-dimensional lattices. We compare the dynamics of social contagion on networks with different fractions of dependency links and find that the density of final recovered nodes increases as the number of dependency links is increased. We use a finite-size analysis method to identify the type of phase transition in the giant connected components (GCC) of the final adopted nodes and find that as we increase the fraction of dependency links, the phase transition switches from second-order to first-order. In strong interdependent spatial networks with abundant dependency links, increasing the fraction of initial adopted nodes can induce the switch from a first-order to second-order phase transition associated with social contagion dynamics. In networks with a small number of dependency links, the phase transition remains second-order. In addition, both the second-order and first-order phase transition points can be decreased by increasing the fraction of dependency links or the number of initially-adopted nodes.

  13. Persistent ISR: the social network analysis connection

    NASA Astrophysics Data System (ADS)

    Bowman, Elizabeth K.

    2012-06-01

    Persistent surveillance provides decision makers with unprecedented access to multisource data collected from humans and sensor assets around the globe, yet these data exist in the physical world and provide few overt clues to meaning behind actions. In this paper we explore the recent growth in online social networking and ask the questions: 1) can these sites provide value-added information to compliment physical sensing and 2) what are the mechanisms by which these data could inform situational awareness and decision making? In seeking these answers we consider the range of options provided by Social Network Analysis (SNA), and focus especially on the dynamic nature of these networks. In our discussion we focus on the wave of reform experienced by the North African nations in early 2011 known as the Arab Spring. Demonstrators made widespread use of social networking applications to coordinate, document, and publish material to aid their cause. Unlike members of covert social networks who hide their activity and associations, these demonstrators openly posted multimedia information to coordinate activity and stimulate global support. In this paper we provide a review of SNA approaches and consider how one might track network adaptations by capturing temporal and conceptual trends. We identify opportunities and challenges for merging SNA with physical sensor output, and conclude by addressing future challenges in the persistent ISR domain with respect to SNA.

  14. Social contagions on interdependent lattice networks

    PubMed Central

    Shu, Panpan; Gao, Lei; Zhao, Pengcheng; Wang, Wei; Stanley, H. Eugene

    2017-01-01

    Although an increasing amount of research is being done on the dynamical processes on interdependent spatial networks, knowledge of how interdependent spatial networks influence the dynamics of social contagion in them is sparse. Here we present a novel non-Markovian social contagion model on interdependent spatial networks composed of two identical two-dimensional lattices. We compare the dynamics of social contagion on networks with different fractions of dependency links and find that the density of final recovered nodes increases as the number of dependency links is increased. We use a finite-size analysis method to identify the type of phase transition in the giant connected components (GCC) of the final adopted nodes and find that as we increase the fraction of dependency links, the phase transition switches from second-order to first-order. In strong interdependent spatial networks with abundant dependency links, increasing the fraction of initial adopted nodes can induce the switch from a first-order to second-order phase transition associated with social contagion dynamics. In networks with a small number of dependency links, the phase transition remains second-order. In addition, both the second-order and first-order phase transition points can be decreased by increasing the fraction of dependency links or the number of initially-adopted nodes. PMID:28300198

  15. Social networking for adolescents with severe haemophilia.

    PubMed

    Khair, K; Holland, M; Carrington, S

    2012-05-01

    Access to modern treatments allows adolescents with haemophilia to manage their haemophilia at home, with improved treatment outcomes and quality of life, but has reduced peer support and the potential for experiential learning from older peers. Social networking, aided by modern communication technologies, may offer health benefits through peer support. We sought to assess whether or not disease-specific social networking could benefit adolescents with severe haemophilia. A total of 150 adolescents (aged 10-18) with severe haemophilia A or B from 11 UK treatment centres or those who had attended focus groups to explore the potential for a social network designed specifically for their use were surveyed. Teenage boys with severe haemophilia in the UK who responded to an online and paper questionnaire (n = 47; 31% response rate) rarely knew of or socialized with others with haemophilia outside their families. Two-thirds of respondents said they would like to meet others. For 70% of boys, parents were the major source of information about haemophilia, yet more than half said they often had trouble finding answers to their questions. These boys frequently used online social networks to chat with friends. Adolescents with severe haemophilia frequently have limited contact with others and many wish to have greater contact. They may benefit from peer support and experiential learning gained through online social networking. The SixVibe restricted access social network is to be launched in 2011. It includes features designed to promote and facilitate the development of peer-to peer disease management skills for adolescents with severe haemophilia.

  16. Social capital, friendship networks, and youth unemployment.

    PubMed

    Hällsten, Martin; Edling, Christofer; Rydgren, Jens

    2017-01-01

    Youth unemployment is a contemporary social problem in many societies. Youths often have limited access to information about jobs and limited social influence, yet little is known about the relationship between social capital and unemployment risk among youth. We study the effect of social capital on unemployment risk in a sample of 19 year olds of Swedish, Iranian, and Yugoslavian origin living in Sweden (N = 1590). We distinguish between two dimensions of social capital: occupational contact networks and friendship networks. First, ego's unemployment is found to be strongly associated with friends' unemployment among individuals of Yugoslavian origins and individuals of Swedish origin, but not Iranian origin. Second, occupational contact networks reduce unemployment risks for all groups, but especially so for Iranians. The effect sizes of the two dimensions are similar and substantial: going from low to high values on these measures is associated with a difference of some 60-70 percent relative difference in unemployment risk. The findings are robust to a number of different model specifications, including a rich set of social origin controls, personality traits, educational performance, friends' characteristics, and friendship network characteristics, as well as controls for geographical employment patterns. A sensitivity simulation shows that homogeneity bias need to be very strong to explain away the effect.

  17. Undermining and Strengthening Social Networks through Network Modification

    NASA Astrophysics Data System (ADS)

    Mellon, Jonathan; Yoder, Jordan; Evans, Daniel

    2016-10-01

    Social networks have well documented effects at the individual and aggregate level. Consequently it is often useful to understand how an attempt to influence a network will change its structure and consequently achieve other goals. We develop a framework for network modification that allows for arbitrary objective functions, types of modification (e.g. edge weight addition, edge weight removal, node removal, and covariate value change), and recovery mechanisms (i.e. how a network responds to interventions). The framework outlined in this paper helps both to situate the existing work on network interventions but also opens up many new possibilities for intervening in networks. In particular use two case studies to highlight the potential impact of empirically calibrating the objective function and network recovery mechanisms as well as showing how interventions beyond node removal can be optimised. First, we simulate an optimal removal of nodes from the Noordin terrorist network in order to reduce the expected number of attacks (based on empirically predicting the terrorist collaboration network from multiple types of network ties). Second, we simulate optimally strengthening ties within entrepreneurial ecosystems in six developing countries. In both cases we estimate ERGM models to simulate how a network will endogenously evolve after intervention.

  18. Undermining and Strengthening Social Networks through Network Modification

    PubMed Central

    Mellon, Jonathan; Yoder, Jordan; Evans, Daniel

    2016-01-01

    Social networks have well documented effects at the individual and aggregate level. Consequently it is often useful to understand how an attempt to influence a network will change its structure and consequently achieve other goals. We develop a framework for network modification that allows for arbitrary objective functions, types of modification (e.g. edge weight addition, edge weight removal, node removal, and covariate value change), and recovery mechanisms (i.e. how a network responds to interventions). The framework outlined in this paper helps both to situate the existing work on network interventions but also opens up many new possibilities for intervening in networks. In particular use two case studies to highlight the potential impact of empirically calibrating the objective function and network recovery mechanisms as well as showing how interventions beyond node removal can be optimised. First, we simulate an optimal removal of nodes from the Noordin terrorist network in order to reduce the expected number of attacks (based on empirically predicting the terrorist collaboration network from multiple types of network ties). Second, we simulate optimally strengthening ties within entrepreneurial ecosystems in six developing countries. In both cases we estimate ERGM models to simulate how a network will endogenously evolve after intervention. PMID:27703198

  19. Origin of Peer Influence in Social Networks

    NASA Astrophysics Data System (ADS)

    Pinheiro, Flávio L.; Santos, Marta D.; Santos, Francisco C.; Pacheco, Jorge M.

    2014-03-01

    Social networks pervade our everyday lives: we interact, influence, and are influenced by our friends and acquaintances. With the advent of the World Wide Web, large amounts of data on social networks have become available, allowing the quantitative analysis of the distribution of information on them, including behavioral traits and fads. Recent studies of correlations among members of a social network, who exhibit the same trait, have shown that individuals influence not only their direct contacts but also friends' friends, up to a network distance extending beyond their closest peers. Here, we show how such patterns of correlations between peers emerge in networked populations. We use standard models (yet reflecting intrinsically different mechanisms) of information spreading to argue that empirically observed patterns of correlation among peers emerge naturally from a wide range of dynamics, being essentially independent of the type of information, on how it spreads, and even on the class of underlying network that interconnects individuals. Finally, we show that the sparser and clustered the network, the more far reaching the influence of each individual will be.

  20. Children's social competence, academic competence, and aggressiveness as related to ability to make judgments of fairness.

    PubMed

    Vandiver, T

    2001-08-01

    The relationship of 102 fifth and sixth graders' judgments of fairness with their academic and social competence and aggressiveness was studied. Children were given self-report and peer-nomination inventories measuring academic competence, social competence, and aggressiveness at a single point in time at the public school they attended. These measures were related to children's prediction of fairness on a distributive justice measure. Children who saw themselves as academically and socially competent scored higher on the distributive justice measure. Children whose peers saw them as less academically competent and more aggressive scored lower on the distributive justice measure. Analyses showed an association between children's academic competence, social competence, and aggressiveness scores and their scores on judgments of fairness.

  1. Online and Offline Social Networks: Use of Social Networking Sites by Emerging Adults

    ERIC Educational Resources Information Center

    Subrahmanyam, Kaveri; Reich, Stephanie M.; Waechter, Natalia; Espinoza, Guadalupe

    2008-01-01

    Social networking sites (e.g., MySpace and Facebook) are popular online communication forms among adolescents and emerging adults. Yet little is known about young people's activities on these sites and how their networks of "friends" relate to their other online (e.g., instant messaging) and offline networks. In this study, college students…

  2. The Analysis of Duocentric Social Networks: A Primer.

    PubMed

    Kennedy, David P; Jackson, Grace L; Green, Harold D; Bradbury, Thomas N; Karney, Benjamin R

    2015-02-01

    Marriages and other intimate partnerships are facilitated or constrained by the social networks within which they are embedded. To date, methods used to assess the social networks of couples have been limited to global ratings of social network characteristics or network data collected from each partner separately. In the current article, the authors offer new tools for expanding on the existing literature by describing methods of collecting and analyzing duocentric social networks, that is, the combined social networks of couples. They provide an overview of the key considerations for measuring duocentric networks, such as how and why to combine separate network interviews with partners into one shared duocentric network, the number of network members to assess, and the implications of different network operationalizations. They illustrate these considerations with analyses of social network data collected from 57 low-income married couples, presenting visualizations and quantitative measures of network composition and structure.

  3. Transfer Students in STEM Majors: Gender Differences in the Socialization Factors that Influence Academic and Social Adjustment

    ERIC Educational Resources Information Center

    Jackson, Dimitra Lynette

    2010-01-01

    The purposes of this study were (a) to examine the socialization factors of community college transfer students in Science, Technology, Engineering and Mathematics (STEM); (b) to examine the socialization factors that impact the academic and social adjustment of community college transfer students in STEM majors; and (c) to understand how female…

  4. Online Social Networking and Mental Health

    PubMed Central

    2014-01-01

    Abstract During the past decade, online social networking has caused profound changes in the way people communicate and interact. It is unclear, however, whether some of these changes may affect certain normal aspects of human behavior and cause psychiatric disorders. Several studies have indicated that the prolonged use of social networking sites (SNS), such as Facebook, may be related to signs and symptoms of depression. In addition, some authors have indicated that certain SNS activities might be associated with low self-esteem, especially in children and adolescents. Other studies have presented opposite results in terms of positive impact of social networking on self-esteem. The relationship between SNS use and mental problems to this day remains controversial, and research on this issue is faced with numerous challenges. This concise review focuses on the recent findings regarding the suggested connection between SNS and mental health issues such as depressive symptoms, changes in self-esteem, and Internet addiction. PMID:25192305

  5. Online social networking and mental health.

    PubMed

    Pantic, Igor

    2014-10-01

    During the past decade, online social networking has caused profound changes in the way people communicate and interact. It is unclear, however, whether some of these changes may affect certain normal aspects of human behavior and cause psychiatric disorders. Several studies have indicated that the prolonged use of social networking sites (SNS), such as Facebook, may be related to signs and symptoms of depression. In addition, some authors have indicated that certain SNS activities might be associated with low self-esteem, especially in children and adolescents. Other studies have presented opposite results in terms of positive impact of social networking on self-esteem. The relationship between SNS use and mental problems to this day remains controversial, and research on this issue is faced with numerous challenges. This concise review focuses on the recent findings regarding the suggested connection between SNS and mental health issues such as depressive symptoms, changes in self-esteem, and Internet addiction.

  6. Build your own social network laboratory with Social Lab: a tool for research in social media.

    PubMed

    Garaizar, Pablo; Reips, Ulf-Dietrich

    2014-06-01

    Social networking has surpassed e-mail and instant messaging as the dominant form of online communication (Meeker, Devitt, & Wu, 2010). Currently, all large social networks are proprietary, making it difficult to impossible for researchers to make changes to such networks for the purpose of study design and access to user-generated data from the networks. To address this issue, the authors have developed and present Social Lab, an Internet-based free and open-source social network software system available from http://www.sociallab.es . Having full availability of navigation and communication data in Social Lab allows researchers to investigate behavior in social media on an individual and group level. Automated artificial users ("bots") are available to the researcher to simulate and stimulate social networking situations. These bots respond dynamically to situations as they unfold. The bots can easily be configured with scripts and can be used to experimentally manipulate social networking situations in Social Lab. Examples for setting up, configuring, and using Social Lab as a tool for research in social media are provided.

  7. Social networks and the development of social skills in cowbirds.

    PubMed

    White, David J; Gersick, Andrew S; Snyder-Mackler, Noah

    2012-07-05

    The complex interrelationships among individuals within social environments can exert selection pressures on social skills: those behaviours and cognitive processes that allow animals to manipulate and out-reproduce others. Social complexity can also have a developmental effect on social skills by providing individuals with opportunities to hone their skills by dealing with the challenges posed in within-group interactions. We examined how social skills develop in captive, adult male brown-headed cowbirds (Molothrus ater) that were exposed to differing levels of 'social complexity' across a 2-year experiment. After each year, subjects housed in groups with dynamic social structure (where many individuals entered and exited the groups during the year) outcompeted birds who had been housed in static groups. Exposure to dynamic structure subsequently led to substantial changes to the social networks of the home conditions during the breeding season. Static groups were characterized by a predictable relationship between singing and reproductive success that was stable across years. In dynamic conditions, however, males showed significant variability in their dominance status, their courting and even in their mating success. Reproductive success of males varied dramatically across years and was responsive to social learning in adulthood, and socially dynamic environments 'trained' individuals to be better competitors, even at an age when the development of many traits important for breeding (like song quality) had ended.

  8. Social networks and the development of social skills in cowbirds

    PubMed Central

    White, David J.; Gersick, Andrew S.; Snyder-Mackler, Noah

    2012-01-01

    The complex interrelationships among individuals within social environments can exert selection pressures on social skills: those behaviours and cognitive processes that allow animals to manipulate and out-reproduce others. Social complexity can also have a developmental effect on social skills by providing individuals with opportunities to hone their skills by dealing with the challenges posed in within-group interactions. We examined how social skills develop in captive, adult male brown-headed cowbirds (Molothrus ater) that were exposed to differing levels of ‘social complexity’ across a 2-year experiment. After each year, subjects housed in groups with dynamic social structure (where many individuals entered and exited the groups during the year) outcompeted birds who had been housed in static groups. Exposure to dynamic structure subsequently led to substantial changes to the social networks of the home conditions during the breeding season. Static groups were characterized by a predictable relationship between singing and reproductive success that was stable across years. In dynamic conditions, however, males showed significant variability in their dominance status, their courting and even in their mating success. Reproductive success of males varied dramatically across years and was responsive to social learning in adulthood, and socially dynamic environments ‘trained’ individuals to be better competitors, even at an age when the development of many traits important for breeding (like song quality) had ended. PMID:22641827

  9. Multiobjective blockmodeling for social network analysis.

    PubMed

    Brusco, Michael; Doreian, Patrick; Steinley, Douglas; Satornino, Cinthia B

    2013-07-01

    To date, most methods for direct blockmodeling of social network data have focused on the optimization of a single objective function. However, there are a variety of social network applications where it is advantageous to consider two or more objectives simultaneously. These applications can broadly be placed into two categories: (1) simultaneous optimization of multiple criteria for fitting a blockmodel based on a single network matrix and (2) simultaneous optimization of multiple criteria for fitting a blockmodel based on two or more network matrices, where the matrices being fit can take the form of multiple indicators for an underlying relationship, or multiple matrices for a set of objects measured at two or more different points in time. A multiobjective tabu search procedure is proposed for estimating the set of Pareto efficient blockmodels. This procedure is used in three examples that demonstrate possible applications of the multiobjective blockmodeling paradigm.

  10. The "Majority Illusion" in Social Networks

    PubMed Central

    Lerman, Kristina; Yan, Xiaoran; Wu, Xin-Zeng

    2016-01-01

    Individual’s decisions, from what product to buy to whether to engage in risky behavior, often depend on the choices, behaviors, or states of other people. People, however, rarely have global knowledge of the states of others, but must estimate them from the local observations of their social contacts. Network structure can significantly distort individual’s local observations. Under some conditions, a state that is globally rare in a network may be dramatically over-represented in the local neighborhoods of many individuals. This effect, which we call the “majority illusion,” leads individuals to systematically overestimate the prevalence of that state, which may accelerate the spread of social contagions. We develop a statistical model that quantifies this effect and validate it with measurements in synthetic and real-world networks. We show that the illusion is exacerbated in networks with a heterogeneous degree distribution and disassortative structure. PMID:26886112

  11. Gossip spread in social network Models

    NASA Astrophysics Data System (ADS)

    Johansson, Tobias

    2017-04-01

    Gossip almost inevitably arises in real social networks. In this article we investigate the relationship between the number of friends of a person and limits on how far gossip about that person can spread in the network. How far gossip travels in a network depends on two sets of factors: (a) factors determining gossip transmission from one person to the next and (b) factors determining network topology. For a simple model where gossip is spread among people who know the victim it is known that a standard scale-free network model produces a non-monotonic relationship between number of friends and expected relative spread of gossip, a pattern that is also observed in real networks (Lind et al., 2007). Here, we study gossip spread in two social network models (Toivonen et al., 2006; Vázquez, 2003) by exploring the parameter space of both models and fitting them to a real Facebook data set. Both models can produce the non-monotonic relationship of real networks more accurately than a standard scale-free model while also exhibiting more realistic variability in gossip spread. Of the two models, the one given in Vázquez (2003) best captures both the expected values and variability of gossip spread.

  12. Spreading paths in partially observed social networks

    PubMed Central

    Onnela, Jukka-Pekka; Christakis, Nicholas A.

    2012-01-01

    Understanding how and how far information, behaviors, or pathogens spread in social networks is an important problem, having implications for both predicting the size of epidemics, as well as for planning effective interventions. There are, however, two main challenges for inferring spreading paths in real-world networks. One is the practical difficulty of observing a dynamic process on a network, and the other is the typical constraint of only partially observing a network. Using a static, structurally realistic social network as a platform for simulations, we juxtapose three distinct paths: (1) the stochastic path taken by a simulated spreading process from source to target; (2) the topologically shortest path in the fully observed network, and hence the single most likely stochastic path, between the two nodes; and (3) the topologically shortest path in a partially observed network. In a sampled network, how closely does the partially observed shortest path (3) emulate the unobserved spreading path (1)? Although partial observation inflates the length of the shortest path, the stochastic nature of the spreading process also frequently derails the dynamic path from the shortest path. We find that the partially observed shortest path does not necessarily give an inflated estimate of the length of the process path; in fact, partial observation may, counterintuitively, make the path seem shorter than it actually is. PMID:22587148

  13. Social networks and health service utilization.

    PubMed

    Deri, Catherine

    2005-11-01

    While social networks have been examined in the context of many economic choices and outcomes, this study is the first to investigate the effects of social networks on health service utilization decisions. Networks can affect utilization decisions in many ways. They can provide information on institutional details of the health care system, and can reduce the search costs of locating an appropriate health care provider. Networks can even alter the demand for services by affecting the perceived efficacy or desirability of the available services. Using health service utilization decisions to study networks has two main advantages over work that studies other public programs. First, because health care in Canada is universal, there are no questions of eligibility. Second, by studying the different measures of utilization, it is possible to observe how the network effects vary across measures that reflect visits primarily instigated by the patient, to measures that reflect visits instigated by both patients and their physician. Using data from three cycles of the Canadian National Population Health Survey, this work exploits regional and language group variation to identify network effects. Strong and robust evidence of networks effects is found on the decision to utilize services reflecting initial contact with the health care system. As well, this work presents novel evidence that utilization of health services by immigrants increases with the number of doctors that speak their language in their neighborhood.

  14. Social Trust Prediction Using Heterogeneous Networks.

    PubMed

    Huang, Jin; Nie, Feiping; Huang, Heng; Tu, Yi-Cheng; Lei, Yu

    2013-11-01

    Along with increasing popularity of social websites, online users rely more on the trustworthiness information to make decisions, extract and filter information, and tag and build connections with other users. However, such social network data often suffer from severe data sparsity and are not able to provide users with enough information. Therefore, trust prediction has emerged as an important topic in social network research. Traditional approaches are primarily based on exploring trust graph topology itself. However, research in sociology and our life experience suggest that people who are in the same social circle often exhibit similar behaviors and tastes. To take advantage of the ancillary information for trust prediction, the challenge then becomes what to transfer and how to transfer. In this article, we address this problem by aggregating heterogeneous social networks and propose a novel joint social networks mining (JSNM) method. Our new joint learning model explores the user-group-level similarity between correlated graphs and simultaneously learns the individual graph structure; therefore, the shared structures and patterns from multiple social networks can be utilized to enhance the prediction tasks. As a result, we not only improve the trust prediction in the target graph but also facilitate other information retrieval tasks in the auxiliary graphs. To optimize the proposed objective function, we use the alternative technique to break down the objective function into several manageable subproblems. We further introduce the auxiliary function to solve the optimization problems with rigorously proved convergence. The extensive experiments have been conducted on both synthetic and real- world data. All empirical results demonstrate the effectiveness of our method.

  15. Sentiment analysis on smoking in social networks.

    PubMed

    Sofean, Mustafa; Smith, Matthew

    2013-01-01

    Online social networks play a vital role in daily life to share the opinions or behaviors on different topics. The data of social networks can be used to understand health-related behaviors. In this work, we used Twitter status updates to survey of smoking behaviors among the users. We introduce approach to classify the sentiment of smoke-related tweets into positive and negative tweets. The classifier is based on the Support Vector Machines (SVMs) and can achieve high accuracy up to 86%.

  16. Social Network Sites as Educational Factors

    PubMed Central

    Ebrahimpour, Alireza; Rajabali, Farnaz; Yazdanfar, Fatemeh; Azarbad, Reza; Nodeh, Majid Rezaei; Siamian, Hasan; Vahedi, Mohammad

    2016-01-01

    Background: in this present era, the technology development has established certain type of communication. Nowadays education as the fundamental principle in transferring cognition to the learners has found various methods. Recently the concept that social networks could be effective tool in easing the achievement to the educational goals has been under attention. Therefore, this investigation is trying to find out whether, the social networks could play role on the process of education among students? Materials and Methods: This cross sectional descriptive study was performed on 1000 students from 7 medical universities in 2015. The data collection tool was questionnaire that was approved Cronbach’s alpha: was 0.85. Meanwhile its validity was confirmed too. The obtained data were analyzed by the descriptive statistic, ANOVA, Turkey and used X2 SPSS-19. Results: In this investigation, 940 subjects were under study. 85% used daily the social network. The highest usage was attributed to the Telegram. 52% preferred image suitable for transferring of information. Even though, 73% believed that these networks have significant effects on coordinating of students with in university charges. Conclusion: Considering the findings of the present study, it is proposed that the universities integrate the social networks in the education programs and recognize it as the awareness factor, therefore benefit it in the educational affairs. PMID:27147807

  17. Pain tolerance predicts human social network size

    PubMed Central

    Johnson, Katerina V.-A.; Dunbar, Robin I. M.

    2016-01-01

    Personal social network size exhibits considerable variation in the human population and is associated with both physical and mental health status. Much of this inter-individual variation in human sociality remains unexplained from a biological perspective. According to the brain opioid theory of social attachment, binding of the neuropeptide β-endorphin to μ-opioid receptors in the central nervous system (CNS) is a key neurochemical mechanism involved in social bonding, particularly amongst primates. We hypothesise that a positive association exists between activity of the μ-opioid system and the number of social relationships that an individual maintains. Given the powerful analgesic properties of β-endorphin, we tested this hypothesis using pain tolerance as an assay for activation of the endogenous μ-opioid system. We show that a simple measure of pain tolerance correlates with social network size in humans. Our results are in line with previous studies suggesting that μ-opioid receptor signalling has been elaborated beyond its basic function of pain modulation to play an important role in managing our social encounters. The neuroplasticity of the μ-opioid system is of future research interest, especially with respect to psychiatric disorders associated with symptoms of social withdrawal and anhedonia, both of which are strongly modulated by endogenous opioids. PMID:27121297

  18. The Application of Social Network Analysis to Team Sports

    ERIC Educational Resources Information Center

    Lusher, Dean; Robins, Garry; Kremer, Peter

    2010-01-01

    This article reviews how current social network analysis might be used to investigate individual and group behavior in sporting teams. Social network analysis methods permit researchers to explore social relations between team members and their individual-level qualities simultaneously. As such, social network analysis can be seen as augmenting…

  19. Social Network Methods for the Educational and Psychological Sciences

    ERIC Educational Resources Information Center

    Sweet, Tracy M.

    2016-01-01

    Social networks are especially applicable in educational and psychological studies involving social interactions. A social network is defined as a specific relationship among a group of individuals. Social networks arise in a variety of situations such as friendships among children, collaboration and advice seeking among teachers, and coauthorship…

  20. Health and the Structure of Adolescent Social Networks

    ERIC Educational Resources Information Center

    Haas, Steven A.; Schaefer, David R.; Kornienko, Olga

    2010-01-01

    Much research has explored the role of social networks in promoting health through the provision of social support. However, little work has examined how social networks themselves may be structured by health. This article investigates the link between individuals' health and the characteristics of their social network positions.We first develop…

  1. A Model of Academic Self-Concept: Perceived Difficulty and Social Comparison among Academically Accelerated Secondary School Students

    ERIC Educational Resources Information Center

    Wilson, Hope E.; Siegle, Del; McCoach, D. Betsy; Little, Catherine A.; Reis, Sally M.

    2014-01-01

    Academic self-concept predicts students' future goals and is affected by a student's relative success compared with his or her peer group. This exploratory study used structural equation modeling to examine the contributions of the perceived level of difficulty of the curriculum, in addition to the contributions of social comparison and…

  2. Text documents as social networks

    NASA Astrophysics Data System (ADS)

    Balinsky, Helen; Balinsky, Alexander; Simske, Steven J.

    2012-03-01

    The extraction of keywords and features is a fundamental problem in text data mining. Document processing applications directly depend on the quality and speed of the identification of salient terms and phrases. Applications as disparate as automatic document classification, information visualization, filtering and security policy enforcement all rely on the quality of automatically extracted keywords. Recently, a novel approach to rapid change detection in data streams and documents has been developed. It is based on ideas from image processing and in particular on the Helmholtz Principle from the Gestalt Theory of human perception. By modeling a document as a one-parameter family of graphs with its sentences or paragraphs defining the vertex set and with edges defined by Helmholtz's principle, we demonstrated that for some range of the parameters, the resulting graph becomes a small-world network. In this article we investigate the natural orientation of edges in such small world networks. For two connected sentences, we can say which one is the first and which one is the second, according to their position in a document. This will make such a graph look like a small WWW-type network and PageRank type algorithms will produce interesting ranking of nodes in such a document.

  3. Massive Social Network Analysis: Mining Twitter for Social Good

    SciTech Connect

    Ediger, David; Jiang, Karl; Riedy, Edward J.; Bader, David A.; Corley, Courtney D.; Farber, Robert M.; Reynolds, William

    2010-10-11

    Social networks produce an enormous quantity of data. Facebook consists of over 400 million active users sharing over 5 billion pieces of information each month. Analyzing this vast quantity of unstructured data presents challenges for software and hardware. We present GraphCT, a Graph Characterization Tooklit for massive graphs representing social network data. On a 128-processor Cray XMT, GraphCT estimates the betweenness centrality of an artificially generated (R-MAT) 537 million vertex, 8.6 billion edge graph in 55 minutes. We use GraphCT to analyze public data from Twitter, a microblogging network. Twitter's message connections appear primarily tree-structured as a news dissemination system. Within the public data, however, are clusters of conversations. Using GraphCT, we can rank actors within these conversations and help analysts focus attention on a much smaller data subset.

  4. Social Networks of Educated Nematodes

    PubMed Central

    Willett, Denis S.; Alborn, Hans T.; Duncan, Larry W.; Stelinski, Lukasz L.

    2015-01-01

    Entomopathogenic nematodes are obligate lethal parasitoids of insect larvae that navigate a chemically complex belowground environment while interacting with their insect hosts, plants, and each other. In this environment, prior exposure to volatile compounds appears to prime nematodes in a compound specific manner, increasing preference for volatiles they previously were exposed to and decreasing attraction to other volatiles. In addition, persistence of volatile exposure influences this response. Longer exposure not only increases preference, but also results in longer retention of that preference. These entomopathogenic nematodes display interspecific social behavioral plasticity; experienced nematodes influence the behavior of different species. This interspecific social behavioral plasticity suggests a mechanism for rapid adaptation of belowground communities to dynamic environments. PMID:26404058

  5. Hierarchical social networks and information flow

    NASA Astrophysics Data System (ADS)

    López, Luis; F. F. Mendes, Jose; Sanjuán, Miguel A. F.

    2002-12-01

    Using a simple model for the information flow on social networks, we show that the traditional hierarchical topologies frequently used by companies and organizations, are poorly designed in terms of efficiency. Moreover, we prove that this type of structures are the result of the individual aim of monopolizing as much information as possible within the network. As the information is an appropriate measurement of centrality, we conclude that this kind of topology is so attractive for leaders, because the global influence each actor has within the network is completely determined by the hierarchical level occupied.

  6. Privacy-Preserving Relationship Path Discovery in Social Networks

    NASA Astrophysics Data System (ADS)

    Mezzour, Ghita; Perrig, Adrian; Gligor, Virgil; Papadimitratos, Panos

    As social networks sites continue to proliferate and are being used for an increasing variety of purposes, the privacy risks raised by the full access of social networking sites over user data become uncomfortable. A decentralized social network would help alleviate this problem, but offering the functionalities of social networking sites is a distributed manner is a challenging problem. In this paper, we provide techniques to instantiate one of the core functionalities of social networks: discovery of paths between individuals. Our algorithm preserves the privacy of relationship information, and can operate offline during the path discovery phase. We simulate our algorithm on real social network topologies.

  7. Betweenness centrality correlation in social networks

    NASA Astrophysics Data System (ADS)

    Goh, K.-I.; Oh, E.; Kahng, B.; Kim, D.

    2003-01-01

    Scale-free (SF) networks exhibiting a power-law degree distribution can be grouped into the assortative, dissortative, and neutral networks according to the behavior of the degree-degree correlation coefficient. Here we investigate the betweenness centrality (BC) correlation for each type of SF networks. While the BC-BC correlation coefficients behave similarly to the degree-degree correlation coefficients for the dissortative and neutral networks, the BC correlation is nontrivial for the assortative ones found mainly in social networks. The mean BC of neighbors of a vertex with BC gi is almost independent of gi, implying that each person is surrounded by almost the same influential environments of people no matter how influential the person may be.

  8. Computational Statistical Methods for Social Network Models

    PubMed Central

    Hunter, David R.; Krivitsky, Pavel N.; Schweinberger, Michael

    2013-01-01

    We review the broad range of recent statistical work in social network models, with emphasis on computational aspects of these methods. Particular focus is applied to exponential-family random graph models (ERGM) and latent variable models for data on complete networks observed at a single time point, though we also briefly review many methods for incompletely observed networks and networks observed at multiple time points. Although we mention far more modeling techniques than we can possibly cover in depth, we provide numerous citations to current literature. We illustrate several of the methods on a small, well-known network dataset, Sampson’s monks, providing code where possible so that these analyses may be duplicated. PMID:23828720

  9. Network Analysis of Social Interactions in Laboratories

    NASA Astrophysics Data System (ADS)

    Warren, Aaron R.

    2008-10-01

    An ongoing study of the structure, function, and evolution of individual activity within lab groups is introduced. This study makes extensive use of techniques from social network analysis. These techniques allow rigorous quantification and hypothesis-testing of the interactions inherent in social groups and the impact of intrinsic characteristics of individuals on their social interactions. As these techniques are novel within the physics education research community, an overview of their meaning and application is given. We then present preliminary results from videotaped laboratory groups involving mixed populations of traditional and non-traditional students in an introductory algebra-based physics course.

  10. Research Trends in Social Network Sites' Educational Use: A Review of Publications in All SSCI Journals to 2015

    ERIC Educational Resources Information Center

    Akçayir, Gökçe; Akçayir, Murat

    2016-01-01

    In the current study, 247 articles dealing with the use of SNSs (social network sites) in education and published in Social Sciences Citation Index (SSCI) journals up to 2015 were analysed. The articles' demographic (year, learner type, used SNS, major contributing countries, and academic discipline) and topic trends were determined. As a result…

  11. Chinese Visiting Scholars' Academic Socialization in US Institutions of Higher Education: A Qualitative Study

    ERIC Educational Resources Information Center

    Xue, Mo; Chao, Xia; Kuntz, Aaron M.

    2015-01-01

    Socialization as a theoretical concept has been increasingly applied to higher education over the past several decades. However, little research examines international visiting scholars' overseas academic socialization experiences. Rooted in socialization theory, this one-year qualitative study explores 15 Chinese visiting scholars' lived…

  12. Longitudinal Investigation into the Role of Perceived Social Support in Adolescents' Academic Motivation and Achievement

    ERIC Educational Resources Information Center

    Song, Juyeon; Bong, Mimi; Lee, Kyehyoung; Kim, Sung-il

    2015-01-01

    We examined (a) the relative importance of perceived social support from parents, peers, and teachers; (b) the consequences associated with different types of perceived social support; and (c) the mediation by achievement goals in the relationship between perceived social support and academic outcomes. We analyzed the first 3 waves of the Korean…

  13. Students' Ratings of Teacher Support and Academic and Social-Emotional Well-Being

    ERIC Educational Resources Information Center

    Tennant, Jaclyn E.; Demaray, Michelle K.; Malecki, Christine K.; Terry, Melissa N.; Clary, Michael; Elzinga, Nathan

    2015-01-01

    Data on students' perceptions of teacher social support, academic functioning, and social-emotional functioning were collected from a sample of 796 7th and 8th grade middle school students using the Child and Adolescent Social Support Scale (CASSS; Malecki, Demaray, & Elliott, 2000), Iowa Tests of Basic Skills (ITBS) and school records, and…

  14. How Does School Climate Impact Academic Achievement? An Examination of Social Identity Processes

    ERIC Educational Resources Information Center

    Reynolds, Katherine J.; Lee, Eunro; Turner, Isobel; Bromhead, David; Subasic, Emina

    2017-01-01

    In explaining academic achievement, school climate and social belonging (connectedness, identification) emerge as important variables. However, both constructs are rarely explored in one model. In the current study, a social psychological framework based on the social identity perspective (Turner, Hogg, Oakes, Reicher, & Wetherell, 1987) is…

  15. Can Socially Adept Friends Protect Peer-Victimized Early Adolescents against Lower Academic Competence?

    ERIC Educational Resources Information Center

    Tu, Kelly M.; Erath, Stephen A.; Flanagan, Kelly S.

    2012-01-01

    The present study examined indices of friends' social adjustment (prosocial skills and social anxiety) that may protect against or exacerbate vulnerability to lower academic competence in the context of peer victimization during middle school (N=320). Peer victimization was assessed with peer nominations, social anxiety was measured with self…

  16. 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…

  17. Unravelling the Social Network: Theory and Research

    ERIC Educational Resources Information Center

    Merchant, Guy

    2012-01-01

    Despite the widespread popularity of social networking sites (SNSs) amongst children and young people in compulsory education, relatively little scholarly work has explored the fundamental issues at stake. This paper makes an original contribution to the field by locating the study of this online activity within the broader terrain of social…

  18. Ethical Considerations of Social Networking for Counsellors

    ERIC Educational Resources Information Center

    Bratt, William Edgar Vernon

    2010-01-01

    The use of online social networking websites has increased among Canadians in recent years. There are many professional and ethical implications for counsellors who use these sites (Boyd, 2007). Although they offer advantages to counsellors, their use can also raise issues around ethical conduct. Because the counselling literature has not yet…

  19. Libraries' Place in Virtual Social Networks

    ERIC Educational Resources Information Center

    Mathews, Brian S.

    2007-01-01

    Do libraries belong in the virtual world of social networking? With more than 100 million users, this environment is impossible to ignore. A rising philosophy for libraries, particularly in blog-land, involves the concept of being where the users are. Simply using new media to deliver an old message is not progress. Instead, librarians should…

  20. Social Networks, Teacher Beliefs, and Educational Change.

    ERIC Educational Resources Information Center

    Aston, Michelle; Hyle, Adrienne E.

    This study examined the social networks of teachers' strong and weak ties and the impact of those associations upon their beliefs about the realities of elementary education in terms of the knowledge and skills that influenced those realities: school context, general pedagogy, specific subject matter pedagogy, nature of the learner, and self as…

  1. Social Networking: A Collaborative Open Educational Resource

    ERIC Educational Resources Information Center

    Toetenel, Lisette

    2014-01-01

    Studies undertaken since the introduction of Web 2.0 have focussed mainly on open educational resources (OERs) such as email, blogging and virtual learning environments. No consistent efforts have been undertaken to study the use of social networking sites as a tool for learning in the second language classroom. This study examined the use of…

  2. The Benefits and Limitations of Social Networking

    ERIC Educational Resources Information Center

    Strom, Paris; Strom, Robert

    2012-01-01

    The Center for the Digital Future at the University of Southern California surveys 2,000 households each year to find out how online technology affects Internet users. Findings in the latest report show social networks are increasing and a majority of users report feeling as strongly about their communities online as their real-world communities.…

  3. Social Networking Postings: Views from School Principals

    ERIC Educational Resources Information Center

    Griffin, Marlynn M.; Lake, Robert L.

    2012-01-01

    Numerous recent media accounts indicate that teachers are being fired, put on probation, or otherwise censured because of information found on their social networking sites (SNS). While the literature in business, psychology, and pharmacy shows initial investigations of the impact of SNS information on hiring decisions, this area has not been…

  4. Social Networking Sites as a Learning Tool

    ERIC Educational Resources Information Center

    Sanchez-Casado, Noelia; Cegarra Navarro, Juan Gabriel; Wensley, Anthony; Tomaseti-Solano, Eva

    2016-01-01

    Purpose: Over the past few years, social networking sites (SNSs) have become very useful for firms, allowing companies to manage the customer-brand relationships. In this context, SNSs can be considered as a learning tool because of the brand knowledge that customers develop from these relationships. Because of the fact that knowledge in…

  5. Social Networking Services in E-Learning

    ERIC Educational Resources Information Center

    Weber, Peter; Rothe, Hannes

    2016-01-01

    This paper is a report on the findings of a study conducted on the use of the social networking service NING in a cross-location e-learning setting named "Net Economy." We describe how we implemented NING as a fundamental part of the setting through a special phase concept and team building approach. With the help of user statistics, we…

  6. Social Network Predictors of Bullying and Victimization

    ERIC Educational Resources Information Center

    Mouttapa, Michele; Valente, Tom; Gallaher, Peggy; Rohrbach, Louise Ann; Unger, Jennifer B.

    2004-01-01

    This study examined whether bullies, victims, and aggressive victims (those who are both bullies and victims) differed on classroom social network variables, gender, and ethnicity. Survey data were collected from a primarily Latino and Asian sample of 1,368 Southern California 6th graders (mean age = 11.3 years). Logistic regression analyses were…

  7. Parental Social Networks and Child Development.

    ERIC Educational Resources Information Center

    Homel, R.; Burns, A.

    This paper looks at the relationship between parents' social networks and aspects of child development. It has often been suggested that parents' links with kin, neighbors, friends, and local and non-local organizations are likely to have many effects on their children's development. These effects, however, have never been systematically…

  8. How to Analyze Company Using Social Network?

    NASA Astrophysics Data System (ADS)

    Palus, Sebastian; Bródka, Piotr; Kazienko, Przemysław

    Every single company or institution wants to utilize its resources in the most efficient way. In order to do so they have to be have good structure. The new way to analyze company structure by utilizing existing within company natural social network and example of its usage on Enron company are presented in this paper.

  9. Tractable Analysis for Large Social Networks

    ERIC Educational Resources Information Center

    Zhang, Bin

    2012-01-01

    Social scientists usually are more interested in consumers' dichotomous choice, such as purchase a product or not, adopt a technology or not, etc. However, up to date, there is nearly no model can help us solve the problem of multi-network effects comparison with a dichotomous dependent variable. Furthermore, the study of multi-network…

  10. Protecting Personal Information on Social Networking Sites

    ERIC Educational Resources Information Center

    Gallant, David T.

    2011-01-01

    Almost everyone uses social networking sites like Facebook, MySpace, and LinkedIn. Since Facebook is the most popular site in the history of the Internet, this article will focus on how one can protect his/her personal information and how that extends to protecting the private information of others.

  11. Social Network Structures among Groundnut Farmers

    ERIC Educational Resources Information Center

    Thuo, Mary; Bell, Alexandra A.; Bravo-Ureta, Boris E.; Okello, David K.; Okoko, Evelyn Nasambu; Kidula, Nelson L.; Deom, C. Michael; Puppala, Naveen

    2013-01-01

    Purpose: Groundnut farmers in East Africa have experienced declines in production despite research and extension efforts to increase productivity. This study examined how social network structures related to acquisition of information about new seed varieties and productivity among groundnut farmers in Uganda and Kenya.…

  12. Social Networking Services in E-Learning

    ERIC Educational Resources Information Center

    Weber, Peter; Rothe, Hannes

    2012-01-01

    This paper is a report on the findings of a study conducted on the use of the social networking service NING in a cross-location e-learning setting named "Net Economy." We describe how we implemented NING as a fundamental part of the setting through a special phase concept and team building approach. With the help of user statistics, we examine…

  13. Social Networks and Youngspeak in Study Abroad

    ERIC Educational Resources Information Center

    Fernandez, Julieta

    2013-01-01

    Interactions with experienced L2 speakers can have a positive effect on study abroad (SA) students' language acquisition (e.g., development in informal vocabulary use, Schauer, 2009). Many SA students, however, experience difficulties in establishing social networks in Latin America (e.g., Isabelli-Garcia, 2006). SA experience, therefore, cannot…

  14. Electronic Social Networks, Teaching, and Learning

    ERIC Educational Resources Information Center

    Pidduck, Anne Banks

    2010-01-01

    This paper explores the relationship between electronic social networks, teaching, and learning. Previous studies have shown a strong positive correlation between student engagement and learning. By extending this work to engage instructors and add an electronic component, our study shows possible teaching improvement as well. In particular,…

  15. Work and Technology in Higher Education: The Social Construction of Academic Computing. Technology and Education Series.

    ERIC Educational Resources Information Center

    Shields, Mark A., Ed.

    This volume contributes to the understanding of higher education's catalytic role in shaping the microcomputer revolution. Academic computing is viewed here as a social and cultural phenomenon. An in-depth collection of mainly ethnographic studies of the academic computing revolution--its consequences, meanings, and significance--is presented. The…

  16. Adolescent Self-Concept, Ability Grouping, and Social Comparison: Reexamining Academic Track Differences.

    ERIC Educational Resources Information Center

    Byrne, Barbara M.

    Covariance structural analyses (LISREL) were used to examine latent mean differences in general self-concept (SC), academic SC, English SC, and mathematics SC between low-track and high-track high school students. The study report is preceded by a theoretical model of adolescent self-concept and discussions of academic track as a social referent…

  17. Legal Employment at Midcareer: The Influence of Social and Academic Origins.

    ERIC Educational Resources Information Center

    Lena, Hugh F.; And Others

    This study analyzed the relative influence of individual social origins and academic achievement in organizational recruitment and practice outcomes for legal careers. It investigated the effects of background characteristics and academic performance measures for a national sample of college seniors on types of legal practices 25 years after…

  18. Japanese Students' Academic and Social Experiences at a Predominantly White University in the United States

    ERIC Educational Resources Information Center

    Sato, Takahiro; Hodge, Samuel R.

    2013-01-01

    The purpose of this study was to explore Japanese students' views about their academic and social experiences at majority White university in the United States (US). The six participants were Japanese undergraduate students (4 males, 2 females) with various academic majors. This descriptive qualitative study was situated in the concept of an…

  19. A Social Constructionist Approach to Teaching and Learning Vocabulary for Italian for Academic Purposes

    ERIC Educational Resources Information Center

    Xerou, Eftychia; Papadima-Sophocleous, Salomi; Parmaxi, Antigoni

    2016-01-01

    This study presents the way Parmaxi and Zaphiris's (2015) social constructionist framework was used in order to teach and learn vocabulary in an Italian for Specific Academic Purposes (ISAP) tertiary course. The participants (beginner students) were guided to build in groups an artifact, i.e a specific academic vocabulary collection. To do so,…

  20. Are Approaches to Learning in Kindergarten Associated with Academic and Social Competence Similarly?

    ERIC Educational Resources Information Center

    Razza, Rachel A.; Martin, Anne; Brooks-Gunn, Jeanne

    2015-01-01

    Background: Approaches to learning (ATL) is a key domain of school readiness with important implications for children's academic trajectories. Interestingly, however, the impact of early ATL on children's social competence has not been examined. Objective: This study examines associations between children's ATL at age 5 and academic achievement…

  1. The Mechanics of Social Capital and Academic Performance in an Indian College

    ERIC Educational Resources Information Center

    Hasan, Sharique; Bagde, Surendrakumar

    2013-01-01

    In this article we examine how social capital affects the creation of human capital. Specifically, we study how college students' peers affect academic performance. Building on existing research, we consider the different types of peers in the academic context and the various mechanisms through which peers affect performance. We test our model…

  2. Physical Fitness and Academic Performance in Primary School Children with and without a Social Disadvantage

    ERIC Educational Resources Information Center

    de Greeff, J. W.; Hartman, E.; Mullender-Wijnsma, M. J.; Bosker, R. J.; Doolaard, S.; Visscher, C.

    2014-01-01

    This study examined the differences between children with a low socioeconomic status [socially disadvantaged children (SDC)] and children without this disadvantage (non-SDC) on physical fitness and academic performance. In addition, this study determined the association between physical fitness and academic performance, and investigated the…

  3. Assessing Academic Advising Outcomes Using Social Cognitive Theory: A Validity and Reliability Study

    ERIC Educational Resources Information Center

    Erlich, Richard J.; Russ-Eft, Darlene F.

    2012-01-01

    The validity and reliability of three instruments, the "Counselor Rubric for Gauging Student Understanding of Academic Planning," micro-analytic questions, and the "Student Survey for Understanding Academic Planning," all based on social cognitive theory, were tested as means to assess self-efficacy and self-regulated learning in college academic…

  4. The Role of Parents in College Students' Sociopolitical Awareness, Academic, and Social Development

    ERIC Educational Resources Information Center

    Harper, Casandra E.; Sax, Linda J.; Wolf, De'Sha S.

    2012-01-01

    This study examined the relationship between parental contact (frequency of student-parent communication) and involvement (parents' interest and/or involvement in students' academic progress and decision-making) with college students' personal, social, and academic development. Parental involvement accounted for over two-thirds of the significant…

  5. Taming the River: Negotiating the Academic, Financial, and Social Currents in Selective Colleges and Universities

    ERIC Educational Resources Information Center

    Charles, Camille Z.; Fischer, Mary J.; Mooney, Margarita A.; Massey, Douglas S.

    2009-01-01

    Building on their important findings in "The Source of the River," the authors now probe even more deeply into minority underachievement at the college level. "Taming the River" examines the academic and social dynamics of different ethnic groups during the first two years of college. Focusing on racial differences in academic performance, the…

  6. Perceived Social Support and Academic Achievement: Cross-Lagged Panel and Bivariate Growth Curve Analyses

    ERIC Educational Resources Information Center

    Mackinnon, Sean P.

    2012-01-01

    As students transition to post-secondary education, they experience considerable stress and declines in academic performance. Perceived social support is thought to improve academic achievement by reducing stress. Longitudinal designs with three or more waves are needed in this area because they permit stronger causal inferences and help…

  7. Third-Year College Retention and Transfer: Effects of Academic Performance, Motivation, and Social Connectedness

    ERIC Educational Resources Information Center

    Allen, Jeff; Robbins, Steven B.; Casillas, Alex; Oh, In-Sue

    2008-01-01

    We studied the effects of academic performance, motivation, and social connectedness on third-year retention, transfer, and dropout behavior. To accommodate the three outcome categories and nesting of data within institutions, we fit a hierarchical multinomial logistic regression path model with first-year academic performance as a mediating…

  8. Effects of deception in social networks.

    PubMed

    Iñiguez, Gerardo; Govezensky, Tzipe; Dunbar, Robin; Kaski, Kimmo; Barrio, Rafael A

    2014-09-07

    Honesty plays a crucial role in any situation where organisms exchange information or resources. Dishonesty can thus be expected to have damaging effects on social coherence if agents cannot trust the information or goods they receive. However, a distinction is often drawn between prosocial lies ('white' lies) and antisocial lying (i.e. deception for personal gain), with the former being considered much less destructive than the latter. We use an agent-based model to show that antisocial lying causes social networks to become increasingly fragmented. Antisocial dishonesty thus places strong constraints on the size and cohesion of social communities, providing a major hurdle that organisms have to overcome (e.g. by evolving counter-deception strategies) in order to evolve large, socially cohesive communities. In contrast, white lies can prove to be beneficial in smoothing the flow of interactions and facilitating a larger, more integrated network. Our results demonstrate that these group-level effects can arise as emergent properties of interactions at the dyadic level. The balance between prosocial and antisocial lies may set constraints on the structure of social networks, and hence the shape of society as a whole.

  9. Effects of deception in social networks

    PubMed Central

    Iñiguez, Gerardo; Govezensky, Tzipe; Dunbar, Robin; Kaski, Kimmo; Barrio, Rafael A.

    2014-01-01

    Honesty plays a crucial role in any situation where organisms exchange information or resources. Dishonesty can thus be expected to have damaging effects on social coherence if agents cannot trust the information or goods they receive. However, a distinction is often drawn between prosocial lies (‘white’ lies) and antisocial lying (i.e. deception for personal gain), with the former being considered much less destructive than the latter. We use an agent-based model to show that antisocial lying causes social networks to become increasingly fragmented. Antisocial dishonesty thus places strong constraints on the size and cohesion of social communities, providing a major hurdle that organisms have to overcome (e.g. by evolving counter-deception strategies) in order to evolve large, socially cohesive communities. In contrast, white lies can prove to be beneficial in smoothing the flow of interactions and facilitating a larger, more integrated network. Our results demonstrate that these group-level effects can arise as emergent properties of interactions at the dyadic level. The balance between prosocial and antisocial lies may set constraints on the structure of social networks, and hence the shape of society as a whole. PMID:25056625

  10. Influence of Reciprocal Links in Social Networks

    PubMed Central

    Zhu, Yu-Xiao; Zhang, Xiao-Guang; Sun, Gui-Quan; Tang, Ming; Zhou, Tao; Zhang, Zi-Ke

    2014-01-01

    How does reciprocal links affect the function of real social network? Does reciprocal link and non-reciprocal link play the same role? Previous researches haven't displayed a clear picture to us until now according to the best of our knowledge. Motivated by this, in this paper, we empirically study the influence of reciprocal links in two representative real datasets, Sina Weibo and Douban. Our results demonstrate that the reciprocal links play a more important role than non-reciprocal ones in information diffusion process. In particular, not only coverage but also the speed of the information diffusion can be significantly enhanced by considering the reciprocal effect. We give some possible explanations from the perspectives of network connectivity and efficiency. This work may shed some light on the in-depth understanding and application of the reciprocal effect in directed online social networks. PMID:25072242

  11. Social networks among Indigenous peoples in Mexico.

    PubMed

    Skoufias, Emmanuel; Lunde, Trine; Patrinos, Harry Anthony

    2010-01-01

    We examine the extent to which social networks among indigenous peoples in Mexico have a significant effect on a variety of human capital investment and economic activities, such as school attendance and work among teenage boys and girls, and migration, welfare participation, employment status, occupation, and sector of employment among adult males and females. Using data from the 10 percent population sample of the 2000 Population and Housing Census of Mexico and the empirical strategy that Bertrand, Luttmer, and Mullainathan (2000) propose, which allows us to take into account the role of municipality and language group fixed effects, we confirm empirically that social network effects play an important role in the economic decisions of indigenous people, especially in rural areas. Our analysis also provides evidence that better access to basic services such as water and electricity increases the size and strength of network effects in rural areas.

  12. Influence of reciprocal links in social networks.

    PubMed

    Zhu, Yu-Xiao; Zhang, Xiao-Guang; Sun, Gui-Quan; Tang, Ming; Zhou, Tao; Zhang, Zi-Ke

    2014-01-01

    How does reciprocal links affect the function of real social network? Does reciprocal link and non-reciprocal link play the same role? Previous researches haven't displayed a clear picture to us until now according to the best of our knowledge. Motivated by this, in this paper, we empirically study the influence of reciprocal links in two representative real datasets, Sina Weibo and Douban. Our results demonstrate that the reciprocal links play a more important role than non-reciprocal ones in information diffusion process. In particular, not only coverage but also the speed of the information diffusion can be significantly enhanced by considering the reciprocal effect. We give some possible explanations from the perspectives of network connectivity and efficiency. This work may shed some light on the in-depth understanding and application of the reciprocal effect in directed online social networks.

  13. Social Networks among Residents in Recovery Homes.

    PubMed

    Jason, Leonard; Stevens, Ed; Ferrari, Joseph R; Thompson, Erin; Legler, Ray

    2012-05-26

    Although evidence exists that substance abuse abstinence is enhanced when individuals in recovery are embedded in social networks that are cohesive, few studies examined the network structures underlying recovery home support systems. In two studies, we investigated the mechanisms through which social environments affect health outcomes among two samples of adult residents of recovery homes. Findings from Study 1 (n = 150) indicated that network size and the presence of relationships with other Oxford House (OH) residents both predicted future abstinence. Study 2 (n = 490) included individuals who lived in an OH residence for up to 6 months, and their personal relationship with other house residents predicted future abstinence. Implications of these findings are discussed.

  14. Social networks as embedded complex adaptive systems.

    PubMed

    Benham-Hutchins, Marge; Clancy, Thomas R

    2010-09-01

    As systems evolve over time, their natural tendency is to become increasingly more complex. Studies in the field of complex systems have generated new perspectives on management in social organizations such as hospitals. Much of this research appears as a natural extension of the cross-disciplinary field of systems theory. This is the 15th in a series of articles applying complex systems science to the traditional management concepts of planning, organizing, directing, coordinating, and controlling. In this article, the authors discuss healthcare social networks as a hierarchy of embedded complex adaptive systems. The authors further examine the use of social network analysis tools as a means to understand complex communication patterns and reduce medical errors.

  15. Social contagion theory: examining dynamic social networks and human behavior

    PubMed Central

    Christakis, Nicholas A.; Fowler, James H.

    2013-01-01

    Here, we review the research we have conducted on social contagion. We describe the methods we have employed (and the assumptions they have entailed) to examine several datasets with complementary strengths and weaknesses, including the Framingham Heart Study, the National Longitudinal Study of Adolescent Health, and other observational and experimental datasets that we and others have collected. We describe the regularities that led us to propose that human social networks may exhibit a ‘three degrees of influence’ property, and we review statistical approaches we have used to characterize interpersonal influence with respect to phenomena as diverse as obesity, smoking, cooperation, and happiness. We do not claim that this work is the final word, but we do believe that it provides some novel, informative, and stimulating evidence regarding social contagion in longitudinally followed networks. Along with other scholars, we are working to develop new methods for identifying causal effects using social network data, and we believe that this area is ripe for statistical development as current methods have known and often unavoidable limitations. PMID:22711416

  16. Social contagion theory: examining dynamic social networks and human behavior.

    PubMed

    Christakis, Nicholas A; Fowler, James H

    2013-02-20

    Here, we review the research we have conducted on social contagion. We describe the methods we have employed (and the assumptions they have entailed) to examine several datasets with complementary strengths and weaknesses, including the Framingham Heart Study, the National Longitudinal Study of Adolescent Health, and other observational and experimental datasets that we and others have collected. We describe the regularities that led us to propose that human social networks may exhibit a 'three degrees of influence' property, and we review statistical approaches we have used to characterize interpersonal influence with respect to phenomena as diverse as obesity, smoking, cooperation, and happiness. We do not claim that this work is the final word, but we do believe that it provides some novel, informative, and stimulating evidence regarding social contagion in longitudinally followed networks. Along with other scholars, we are working to develop new methods for identifying causal effects using social network data, and we believe that this area is ripe for statistical development as current methods have known and often unavoidable limitations.

  17. Academic performance and social competence of adolescents: predictions based on effortful control and empathy.

    PubMed

    Zorza, Juan P; Marino, Julián; de Lemus, Soledad; Acosta Mesas, Alberto

    2013-01-01

    This study explored the predictive power of effortful control (EC) on empathy, academic performance, and social competence in adolescents. We obtained self-report measures of EC and dispositional empathy in 359 students (197 girls and 162 boys) aged between 12 and 14 years. Each student provided information about the prosocial behavior of the rest of his/her classmates and completed a sociogram. At the end of the school year, we calculated the mean grade of each student and the teacher responsible for each class completed a questionnaire on the academic skills of his/her students. The study confirmed the existence of a structural equation model (SEM) in which EC directly predicted academic performance and social competence. Additionally, empathic concern partially mediated the effect of EC on social competence. Finally, social competence significantly predicted academic performance. The article discusses the practical applications of the model proposed.

  18. The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies.

    PubMed

    Baker, David A; Algorta, Guillermo Perez

    2016-11-01

    Online social networking sites (SNSs) such as Facebook, Twitter, and MySpace are used by billions of people every day to communicate and interact with others. There has been increasing interest in the potential impact of online social networking on wellbeing, with a broadening body of new research into factors associated with both positive and negative mental health outcomes such as depression. This systematic review of empirical studies (n = 30) adds to existing research in this field by examining current quantitative studies focused on the relationship between online social networking and symptoms of depression. The academic databases PsycINFO, Web of Science, CINAHL, MEDLINE, and EMBASE were searched systematically using terms related to online social networking and depression. Reporting quality was critically appraised and the findings discussed with reference to their wider implications. The findings suggest that the relationship between online social networking and symptoms of depression may be complex and associated with multiple psychological, social, behavioral, and individual factors. Furthermore, the impact of online social networking on wellbeing may be both positive and negative, highlighting the need for future research to determine the impact of candidate mediators and moderators underlying these heterogeneous outcomes across evolving networks.

  19. Disease Surveillance on Complex Social Networks

    PubMed Central

    Herrera, Jose L.; Srinivasan, Ravi; Brownstein, John S.; Galvani, Alison P.; Meyers, Lauren Ancel

    2016-01-01

    As infectious disease surveillance systems expand to include digital, crowd-sourced, and social network data, public health agencies are gaining unprecedented access to high-resolution data and have an opportunity to selectively monitor informative individuals. Contact networks, which are the webs of interaction through which diseases spread, determine whether and when individuals become infected, and thus who might serve as early and accurate surveillance sensors. Here, we evaluate three strategies for selecting sensors—sampling the most connected, random, and friends of random individuals—in three complex social networks—a simple scale-free network, an empirical Venezuelan college student network, and an empirical Montreal wireless hotspot usage network. Across five different surveillance goals—early and accurate detection of epidemic emergence and peak, and general situational awareness—we find that the optimal choice of sensors depends on the public health goal, the underlying network and the reproduction number of the disease (R0). For diseases with a low R0, the most connected individuals provide the earliest and most accurate information about both the onset and peak of an outbreak. However, identifying network hubs is often impractical, and they can be misleading if monitored for general situational awareness, if the underlying network has significant community structure, or if R0 is high or unknown. Taking a theoretical approach, we also derive the optimal surveillance system for early outbreak detection but find that real-world identification of such sensors would be nearly impossible. By contrast, the friends-of-random strategy offers a more practical and robust alternative. It can be readily implemented without prior knowledge of the network, and by identifying sensors with higher than average, but not the highest, epidemiological risk, it provides reasonably early and accurate information. PMID:27415615

  20. Social encounter networks: characterizing Great Britain.

    PubMed

    Danon, Leon; Read, Jonathan M; House, Thomas A; Vernon, Matthew C; Keeling, Matt J

    2013-08-22

    A major goal of infectious disease epidemiology is to understand and predict the spread of infections within human populations, with the intention of better informing decisions regarding control and intervention. However, the development of fully mechanistic models of transmission requires a quantitative understanding of social interactions and collective properties of social networks. We performed a cross-sectional study of the social contacts on given days for more than 5000 respondents in England, Scotland and Wales, through postal and online survey methods. The survey was designed to elicit detailed and previously unreported measures of the immediate social network of participants relevant to infection spread. Here, we describe individual-level contact patterns, focusing on the range of heterogeneity observed and discuss the correlations between contact patterns and other socio-demographic factors. We find that the distribution of the number of contacts approximates a power-law distribution, but postulate that total contact time (which has a shorter-tailed distribution) is more epidemiologically relevant. We observe that children, public-sector and healthcare workers have the highest number of total contact hours and are therefore most likely to catch and transmit infectious disease. Our study also quantifies the transitive connections made between an individual's contacts (or clustering); this is a key structural characteristic of social networks with important implications for disease transmission and control efficacy. Respondents' networks exhibit high levels of clustering, which varies across social settings and increases with duration, frequency of contact and distance from home. Finally, we discuss the implications of these findings for the transmission and control of pathogens spread through close contact.

  1. Differential patterns of premorbid social and academic deterioration in deficit and nondeficit schizophrenia.

    PubMed

    Strauss, Gregory P; Allen, Daniel N; Miski, Pinar; Buchanan, Robert W; Kirkpatrick, Brian; Carpenter, William T

    2012-03-01

    Numerous studies indicate that social dysfunction is associated with negative symptoms of schizophrenia during the chronic phase of illness. However, it is unclear whether social abnormalities exist during the premorbid phase in people who later develop schizophrenia with prominent negative symptoms, or whether social functioning becomes progressively worse in these individuals from childhood to late adolescence. The current study examined differences in academic and social premorbid functioning in people with schizophrenia meeting criteria for deficit (i.e., primary and enduring negative symptoms) (DS: n = 74) and non-deficit forms of schizophrenia (ND: n = 271). Premorbid social and academic functioning was assessed for childhood, early adolescence, and late adolescence developmental periods on the Premorbid Adjustment Scale (PAS). Results indicated that both DS and ND participants showed deterioration in social and academic functioning from childhood to late adolescence. However, while ND schizophrenia demonstrated greater deterioration of academic compared to social premorbid functioning from childhood to late adolescence, the DS group exhibited comparable deterioration across both premorbid domains, with more severe social deterioration than the ND group. Findings suggest that people with DS show poorer social premorbid adjustment than those with ND as early as childhood, and are particularly susceptible to accelerated deterioration as the onset of schizophrenia becomes imminent. Thus, poor premorbid social adjustment and significant social deterioration from childhood to adolescence may be a hallmark feature of people who later go on to develop prominent negative symptoms and a unique marker for the DS subtype of schizophrenia.

  2. Behavioral and emotional adjustment, family functioning, academic performance, and social relationships in children with selective mutism.

    PubMed

    Cunningham, Charles E; McHolm, Angela; Boyle, Michael H; Patel, Sejal

    2004-11-01

    This study addressed four questions which parents of children with selective mutism (SM) frequently ask: (1) Is SM associated with anxiety or oppositional behavior? (2) Is SM associated with parenting and family dysfunction? (3) Will my child fail at school? and (4) Will my child make friends or be teased and bullied? In comparison to a sample of 52 community controls, 52 children with SM were more anxious, obsessive, and prone to somatic complaints. In contrast, children with SM were less oppositional and evidenced fewer attentional difficulties at school. We found no group differences in family structure, economic resources, family functioning, maternal mood difficulties, recreational activities, or social networks. While parents reported no differences in parenting strategies, children with SM were described as less cooperative in disciplinary situations. The academic (e.g., reading and math) and classroom cooperative skills of children with SM did not differ from controls. Parents and teachers reported that children with SM had significant deficits in social skills. Though teachers and parents rated children with SM as less socially assertive, neither teachers nor parents reported that children with SM were victimized more frequently by peers.

  3. Googling social interactions: web search engine based social network construction.

    PubMed

    Lee, Sang Hoon; Kim, Pan-Jun; Ahn, Yong-Yeol; Jeong, Hawoong

    2010-07-21

    Social network analysis has long been an untiring topic of sociology. However, until the era of information technology, the availability of data, mainly collected by the traditional method of personal survey, was highly limited and prevented large-scale analysis. Recently, the exploding amount of automatically generated data has completely changed the pattern of research. For instance, the enormous amount of data from so-called high-throughput biological experiments has introduced a systematic or network viewpoint to traditional biology. Then, is "high-throughput" sociological data generation possible? Google, which has become one of the most influential symbols of the new Internet paradigm within the last ten years, might provide torrents of data sources for such study in this (now and forthcoming) digital era. We investigate social networks between people by extracting information on the Web and introduce new tools of analysis of such networks in the context of statistical physics of complex systems or socio-physics. As a concrete and illustrative example, the members of the 109th United States Senate are analyzed and it is demonstrated that the methods of construction and analysis are applicable to various other weighted networks.

  4. Library Applications of a Wide Area Network: Promoting JANET to UK Academic Libraries.

    ERIC Educational Resources Information Center

    MacColl, John A.

    1990-01-01

    Describes Project Jupiter, which was developed to promote the United Kingdom's Joint Academic Network (JANET) to its member libraries. Library uses of JANET are described, including online catalogs, commercial services, and electronic mail; the convergence of local area networks (LANs) and wide area networks (WANs) is discussed; and future…

  5. Dynamic social network analysis using conversational dynamics in social networking and microblogging environments

    NASA Astrophysics Data System (ADS)

    Stocco, Gabriel; Savell, Robert; Cybenko, George

    2010-04-01

    In many security environments, the textual content of communications may be unavailable. In these instances, it is often desirable to infer the status of the network and its component entities from patterns of communication flow. Conversational dynamics among entities in the network may provide insight into important aspects of the underlying social network such as the formational dynamics of group structures, the active state of these groups, individuals' roles within groups, and the likelihood of individual participation in conversations. To gain insight into the use of conversational dynamics to facilitate Dynamic Social Network Analysis, we explore the use of interevent timings to associate entities in the Twitter social networking and micro-blogging environment. Specifically, we use message timings to establish inter-nodal relationships among participants. In addition, we demonstrate a new visualization technique for tracking levels of coordination or synchronization within the community via measures of socio-temporal coherence of the participants.

  6. Social networking profile correlates of schizotypy.

    PubMed

    Martin, Elizabeth A; Bailey, Drew H; Cicero, David C; Kerns, John G

    2012-12-30

    Social networking sites, such as Facebook, are extremely popular and have become a primary method for socialization and communication. Despite a report of increased use among those on the schizophrenia-spectrum, few details are known about their actual practices. In the current research, undergraduate participants completed measures of schizotypy and personality, and provided access to their Facebook profiles. Information from the profiles were then systematically coded and compared to the questionnaire data. As predicted, social anhedonia (SocAnh) was associated with a decrease in social participation variables, including a decrease in number of friends and number of photos, and an increase in length of time since communication with a friend, but SocAnh was also associated with an increase in profile length. Also, SocAnh was highly correlated with extraversion. Relatedly, extraversion uniquely predicted the number of friends and photos and length of time since communication with a friend. In addition, perceptual aberration/magical ideation (PerMag) was associated with an increased number of "black outs" on Facebook profile print-outs, a measure of paranoia. Overall, results from this naturalistic-like study show that SocAnh and extraversion are associated with decreased social participation and PerMag with increased paranoia related to information on social networking sites.

  7. Social networking profile correlates of schizotypy

    PubMed Central

    Martin, Elizabeth A.; Bailey, Drew H.; Cicero, David C.; Kerns, John G.

    2015-01-01

    Social networking sites, such as Facebook, are extremely popular and have become a primary method for socialization and communication. Despite a report of increased use among those on the schizophrenia-spectrum, few details are known about their actual practices. In the current research, undergraduate participants completed measures of schizotypy and personality, and provided access to their Facebook profiles. Information from the profiles were then systematically coded and compared to the questionnaire data. As predicted, social anhedonia (SocAnh) was associated with a decrease in social participation variables, including a decrease in number of friends and number of photos, and an increase in length of time since communication with a friend, but SocAnh was also associated with an increase in profile length. Also, SocAnh was highly correlated with extraversion. Relatedly, extraversion uniquely predicted the number of friends and photos and length of time since communication with a friend. In addition, perceptual aberration/magical ideation (PerMag) was associated with an increased number of “black outs” on Facebook profile print-outs, a measure of paranoia. Overall, results from this naturalistic-like study show that SocAnh and extraversion are associated with decreased social participation and PerMag with increased paranoia related to information on social networking sites. PMID:22796101

  8. Social cognitive predictors of first- and non-first-generation college students' academic and life satisfaction.

    PubMed

    Garriott, Patton O; Hudyma, Aaron; Keene, Chesleigh; Santiago, Dana

    2015-04-01

    The present study tested Lent's (2004) social-cognitive model of normative well-being in a sample (N = 414) of first- and non-first-generation college students. A model depicting relationships between: positive affect, environmental supports, college self-efficacy, college outcome expectations, academic progress, academic satisfaction, and life satisfaction was examined using structural equation modeling. The moderating roles of perceived importance of attending college and intrinsic goal motivation were also explored. Results suggested the hypothesized model provided an adequate fit to the data while hypothesized relationships in the model were partially supported. Environmental supports predicted college self-efficacy, college outcome expectations, and academic satisfaction. Furthermore, college self-efficacy predicted academic progress while college outcome expectations predicted academic satisfaction. Academic satisfaction, but not academic progress predicted life satisfaction. The structural model explained 44% of the variance in academic progress, 56% of the variance in academic satisfaction, and 28% of the variance in life satisfaction. Mediation analyses indicated several significant indirect effects between variables in the model while moderation analyses revealed a 3-way interaction between academic satisfaction, intrinsic motivation for attending college, and first-generation college student status on life satisfaction. Results are discussed in terms of applying the normative model of well-being to promote first- and non-first-generation college students' academic and life satisfaction.

  9. Degree correlations in signed social networks

    NASA Astrophysics Data System (ADS)

    Ciotti, Valerio; Bianconi, Ginestra; Capocci, Andrea; Colaiori, Francesca; Panzarasa, Pietro

    2015-03-01

    We investigate degree correlations in two online social networks where users are connected through different types of links. We find that, while subnetworks in which links have a positive connotation, such as endorsement and trust, are characterized by assortative mixing by degree, networks in which links have a negative connotation, such as disapproval and distrust, are characterized by disassortative patterns. We introduce a class of simple theoretical models to analyze the interplay between network topology and the superimposed structure based on the sign of links. Results uncover the conditions that underpin the emergence of the patterns observed in the data, namely the assortativity of positive subnetworks and the disassortativity of negative ones. We discuss the implications of our study for the analysis of signed complex networks.

  10. Mixed-method Exploration of Social Network Links to Participation

    PubMed Central

    Kreider, Consuelo M.; Bendixen, Roxanna M.; Mann, William C.; Young, Mary Ellen; McCarty, Christopher

    2015-01-01

    The people who regularly interact with an adolescent form that youth's social network, which may impact participation. We investigated the relationship of social networks to participation using personal network analysis and individual interviews. The sample included 36 youth, age 11 – 16 years. Nineteen had diagnoses of learning disability, attention disorder, or high-functioning autism and 17 were typically developing. Network analysis yielded 10 network variables, of which 8 measured network composition and 2 measured network structure, with significant links to at least one measure of participation using the Children's Assessment of Participation and Enjoyment (CAPE). Interviews from youth in the clinical group yielded description of strategies used to negotiate social interactions, as well as processes and reasoning used to remain engaged within social networks. Findings contribute to understanding the ways social networks are linked to youth participation and suggest the potential of social network factors for predicting rehabilitation outcomes. PMID:26594737

  11. Academic--practice partnerships in practice research: A cultural shift for health social workers.

    PubMed

    Joubert, Lynette

    2006-01-01

    Academic practice partnerships in practice research support health social workers in engaging in research that is embedded within their practice. This shift in culture enables social workers to join in a health service discourse that is increasingly data -driven and focused on effective practice and demonstrated quality of care for patients. The mentoring model is described as enabling practitioners to superimpose research skills onto existing practice skills. An academic practice research collaboration can reduce the distance between research and practice, contribute to a body of knowledge for health social work and promote health social workers as 'research focused practitioners'.

  12. Discovery of Information Diffusion Process in Social Networks

    NASA Astrophysics Data System (ADS)

    Kim, Kwanho; Jung, Jae-Yoon; Park, Jonghun

    Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers.

  13. A Summary of Sociological Concepts Related to Social Network and Its Techniques for Quantifying Social Cohesion, Social Position, Social Distance

    DTIC Science & Technology

    2013-01-16

    the context of social networking sites , email communications, and virtual worlds, etc. They also, however, form indirect communities via the development...science. In the spring of 2011, access to social networking sites was largely hailed as a prime facilitator of individuals across North Africa and...at an astounding rate, particularly the use of social networking sites . The number of adult internet users in the United States doubled be- tween 2008

  14. A practical guide to social networks.

    PubMed

    Cross, Rob; Liedtka, Jeanne; Weiss, Leigh

    2005-03-01

    Saying that networks are important is stating the obvious. But harnessing the power of these seemingly invisible groups to achieve organizational goals is an elusive undertaking. Most efforts to promote collaboration are haphazard and built on the implicit philosophy that more connectivity is better. In truth, networks create relational demands that sap people's time and energy and can bog down entire organizations. It's crucial for executives to learn how to promote connectivity only where it benefits an organization or individual and to decrease unnecessary connections. In this article, the authors introduce three types of social networks, each of which delivers unique value. The customized response network excels at framing the ambiguous problems involved in innovation. Strategy consulting firms and new-product development groups rely on this format. By contrast, surgical teams and law firms rely mostly on the modular response network, which works best when components of the problem are known but the sequence of those components in the solution is unknown. And the routine response network is best suited for organizations like call centers, where the problems and solutions are fairly predictable but collaboration is still needed. Executives shouldn't simply hope that collaboration will spontaneously occur in the right places atthe right times in their organization. They need to develop a strategic, nuanced view of collaboration, and they must take steps to ensure that their companies support the types of social networks that best fit their goals. Drawing on examples from Novartis, the FAA, and Sallie Mae, the authors offer managers the tools they need to determine which network will deliver the best results for their organizations and which strategic investments will nurture the right degree of connectivity.

  15. Cooperative behavior cascades in human social networks

    PubMed Central

    Fowler, James H.; Christakis, Nicholas A.

    2010-01-01

    Theoretical models suggest that social networks influence the evolution of cooperation, but to date there have been few experimental studies. Observational data suggest that a wide variety of behaviors may spread in human social networks, but subjects in such studies can choose to befriend people with similar behaviors, posing difficulty for causal inference. Here, we exploit a seminal set of laboratory experiments that originally showed that voluntary costly punishment can help sustain cooperation. In these experiments, subjects were randomly assigned to a sequence of different groups to play a series of single-shot public goods games with strangers; this feature allowed us to draw networks of interactions to explore how cooperative and uncooperative behaviors spread from person to person to person. We show that, in both an ordinary public goods game and in a public goods game with punishment, focal individuals are influenced by fellow group members’ contribution behavior in future interactions with other individuals who were not a party to the initial interaction. Furthermore, this influence persists for multiple periods and spreads up to three degrees of separation (from person to person to person to person). The results suggest that each additional contribution a subject makes to the public good in the first period is tripled over the course of the experiment by other subjects who are directly or indirectly influenced to contribute more as a consequence. These results show experimentally that cooperative behavior cascades in human social networks. PMID:20212120

  16. Unfavorable Individuals in Social Gaming Networks.

    PubMed

    Zhang, Yichao; Chen, Guanrong; Guan, Jihong; Zhang, Zhongzhi; Zhou, Shuigeng

    2015-12-09

    In social gaming networks, the current research focus has been on the origin of widespread reciprocal behaviors when individuals play non-cooperative games. In this paper, we investigate the topological properties of unfavorable individuals in evolutionary games. The unfavorable individuals are defined as the individuals gaining the lowest average payoff in a round of game. Since the average payoff is normally considered as a measure of fitness, the unfavorable individuals are very likely to be eliminated or change their strategy updating rules from a Darwinian perspective. Considering that humans can hardly adopt a unified strategy to play with their neighbors, we propose a divide-and-conquer game model, where individuals can interact with their neighbors in the network with appropriate strategies. We test and compare a series of highly rational strategy updating rules. In the tested scenarios, our analytical and simulation results surprisingly reveal that the less-connected individuals in degree-heterogeneous networks are more likely to become the unfavorable individuals. Our finding suggests that the connectivity of individuals as a social capital fundamentally changes the gaming environment. Our model, therefore, provides a theoretical framework for further understanding the social gaming networks.

  17. Unfavorable Individuals in Social Gaming Networks

    NASA Astrophysics Data System (ADS)

    Zhang, Yichao; Chen, Guanrong; Guan, Jihong; Zhang, Zhongzhi; Zhou, Shuigeng

    2015-12-01

    In social gaming networks, the current research focus has been on the origin of widespread reciprocal behaviors when individuals play non-cooperative games. In this paper, we investigate the topological properties of unfavorable individuals in evolutionary games. The unfavorable individuals are defined as the individuals gaining the lowest average payoff in a round of game. Since the average payoff is normally considered as a measure of fitness, the unfavorable individuals are very likely to be eliminated or change their strategy updating rules from a Darwinian perspective. Considering that humans can hardly adopt a unified strategy to play with their neighbors, we propose a divide-and-conquer game model, where individuals can interact with their neighbors in the network with appropriate strategies. We test and compare a series of highly rational strategy updating rules. In the tested scenarios, our analytical and simulation results surprisingly reveal that the less-connected individuals in degree-heterogeneous networks are more likely to become the unfavorable individuals. Our finding suggests that the connectivity of individuals as a social capital fundamentally changes the gaming environment. Our model, therefore, provides a theoretical framework for further understanding the social gaming networks.

  18. An Early Career Academic Network: What Worked and What Didn't

    ERIC Educational Resources Information Center

    Price, Emma; Coffey, Brian; Nethery, Amy

    2015-01-01

    This article documents the experiences of three early career academics trying to establish a network of early career academics (ECAs) in a middle-ranked university in Australia. The changing context of academia means that ECAs face considerable challenges in understanding and negotiating effective career paths. Some of the issues encountered…

  19. Dynamic Social Networks in Recovery Homes

    PubMed Central

    Jason, Leonard A.; Light, John M.; Stevens, Edward B.; Beers, Kimberly

    2013-01-01

    Acute treatment aftercare in the form of sober living environments—i.e., recovery houses—provide an inexpensive and effective medium-term treatment alternative for many with substance use disorders. Limited evidence suggests that house-situated social relationships and associated social support are critical determinants of how successful these residential experiences are for their members, but little is known about the mechanisms underlying these relationships. This study explored the feasibility of using dynamic social network modeling to understand house-situated longitudinal associations among individual Alcoholics Anonymous (AA) related recovery behaviors, length of residence, dyadic interpersonal trust, and dyadic confidant relationship formation processes. Trust and confidant relationships were measured 3 months apart in U.S. urban-area recovery houses, all of which were part of a network of substance use recovery homes. A stochastic actor-based model was successfully estimated from this data set. Results suggest that confidant relationships are predicted by trust, while trust is affected by recovery behaviors and length of residence. Conceptualizing recovery houses as a set of independent, evolving social networks that can be modeled jointly appears to be a promising direction for research. PMID:24217855

  20. Modeling Temporal Variation in Social Network: An Evolutionary Web Graph Approach

    NASA Astrophysics Data System (ADS)

    Mitra, Susanta; Bagchi, Aditya

    A social network is a social structure between actors (individuals, organization or other social entities) and indicates the ways in which they are connected through various social relationships like friendships, kinships, professional, academic etc. Usually, a social network represents a social community, like a club and its members or a city and its citizens etc. or a research group communicating over Internet. In seventies Leinhardt [1] first proposed the idea of representing a social community by a digraph. Later, this idea became popular among other research workers like, network designers, web-service application developers and e-learning modelers. It gave rise to a rapid proliferation of research work in the area of social network analysis. Some of the notable structural properties of a social network are connectedness between actors, reachability between a source and a target actor, reciprocity or pair-wise connection between actors with bi-directional links, centrality of actors or the important actors having high degree or more connections and finally the division of actors into sub-structures or cliques or strongly-connected components. The cycles present in a social network may even be nested [2, 3]. The formal definition of these structural properties will be provided in Sect. 8.2.1. The division of actors into cliques or sub-groups can be a very important factor for understanding a social structure, particularly the degree of cohesiveness in a community. The number, size, and connections among the sub-groups in a network are useful in understanding how the network, as a whole, is likely to behave.

  1. Problematic use of social networking sites among urban school going teenagers

    PubMed Central

    Meena, Parth Singh; Mittal, Pankaj Kumar; Solanki, Ram Kumar

    2012-01-01

    Background: Social networking sites like Facebook, Orkut and Twitter are virtual communities where users can create individual public profiles, interact with real-life friends and meet other people based on shared interests. An exponential rise in usage of Social Networking Sites have been seen within the last few years. Their ease of use and immediate gratification effect on users has changed the way people in general and students in particular spend their time. Young adults, particularly teenagers tended to be unaware of just how much time they really spent on social networking sites. Negative correlates of Social Networking Sites usage include the decrease in real life social community participation and academic achievement, as well as relationship problems, each of which may be indicative of potential addiction. Aims: the aim of the study was to find out whether teenagers, specially those living in cities spend too much time on social networking websites. Materials and Methods: 200 subjects, both boys and girls were included in the cross sectional study who were given a 20 item Young's internet addiction test modified for social networking sites. The responses were analyzed using chi square test and Fisher's exact test. Results: 24.74% of the students were having occasional or ‘frequency’ problems while 2.02% of them were experiencing severe problems due to excessive time spent using social networking sites. Conclusion: With the ever increasing popularity of social media, teenagers are devoting significant time to social networking on websites and are prone to get ‘addicted’ to such form of online social interaction. PMID:24250039

  2. Exploratory community sensing in social networks

    NASA Astrophysics Data System (ADS)

    Khrabrov, Alexy; Stocco, Gabriel; Cybenko, George

    2010-04-01

    Social networks generally provide an implementation of some kind of groups or communities which users can voluntarily join. Twitter does not have this functionality, and there is no notion of a formal group or community. We propose a method for identification of communities and assignment of semantic meaning to the discussion topics of the resulting communities. Using this analysis method and a sample of roughly a month's worth of Tweets from Twitter's "gardenhose" feed, we demonstrate the discovery of meaningful user communities on Twitter. We examine Twitter data streaming in real time and treat it as a sensor. Twitter is a social network which pioneered microblogging with the messages fitting an SMS, and a variety of clients, browsers, smart phones and PDAs are used for status updates by individuals, businesses, media outlets and even devices all over the world. Often an aggregate trend of such statuses may represent an important development in the world, which has been demonstrated with the Iran and Moldova elections and the anniversary of the Tiananmen in China. We propose using Twitter as a sensor, tracking individuals and communities of interest, and characterizing individual roles and dynamics of their communications. We developed a novel algorithm of community identification in social networks based on direct communication, as opposed to linking. We show ways to find communities of interest and then browse their neighborhoods by either similarity or diversity of individuals and groups adjacent to the one of interest. We use frequent collocations and statistically improbable phrases to summarize the focus of the community, giving a quick overview of its main topics. Our methods provide insight into the largest social sensor network in the world and constitute a platform for social sensing.

  3. Informal Learning in Social Networks: A Study of the Orkut Social Network

    ERIC Educational Resources Information Center

    Lisboa, Eliana Santana; Coutinho, Clara Pereira

    2011-01-01

    This paper describes an analytical study which characterises the virtual communities of the Orkut social network, focusing in particular on education, training and technology, in order to understand whether this and other social websites allow the development of informal learning. This empirical study, which is descriptive and exploratory, began…

  4. Understanding Classrooms through Social Network Analysis: A Primer for Social Network Analysis in Education Research

    ERIC Educational Resources Information Center

    Grunspan, Daniel Z.; Wiggins, Benjamin L.; Goodreau, Steven M.

    2014-01-01

    Social interactions between students are a major and underexplored part of undergraduate education. Understanding how learning relationships form in undergraduate classrooms, as well as the impacts these relationships have on learning outcomes, can inform educators in unique ways and improve educational reform. Social network analysis (SNA)…

  5. Rapid innovation diffusion in social networks

    PubMed Central

    Kreindler, Gabriel E.; Young, H. Peyton

    2014-01-01

    Social and technological innovations often spread through social networks as people respond to what their neighbors are doing. Previous research has identified specific network structures, such as local clustering, that promote rapid diffusion. Here we derive bounds that are independent of network structure and size, such that diffusion is fast whenever the payoff gain from the innovation is sufficiently high and the agents’ responses are sufficiently noisy. We also provide a simple method for computing an upper bound on the expected time it takes for the innovation to become established in any finite network. For example, if agents choose log-linear responses to what their neighbors are doing, it takes on average less than 80 revision periods for the innovation to diffuse widely in any network, provided that the error rate is at least 5% and the payoff gain (relative to the status quo) is at least 150%. Qualitatively similar results hold for other smoothed best-response functions and populations that experience heterogeneous payoff shocks. PMID:25024191

  6. Using Social Networks to Create Powerful Learning Communities

    ERIC Educational Resources Information Center

    Lenox, Marianne; Coleman, Maurice

    2010-01-01

    Regular readers of "Computers in Libraries" are aware that social networks are forming increasingly important linkages to professional and personal development in all libraries. Live and virtual social networks have become the new learning playground for librarians and library staff. Social networks have the ability to connect those who are…

  7. Exploring Educational and Cultural Adaptation through Social Networking Sites

    ERIC Educational Resources Information Center

    Ryan, Sherry D.; Magro, Michael J.; Sharp, Jason H.

    2011-01-01

    Social networking sites have seen tremendous growth and are widely used around the world. Nevertheless, the use of social networking sites in educational contexts is an under explored area. This paper uses a qualitative methodology, autoethnography, to investigate how social networking sites, specifically Facebook[TM], can help first semester…

  8. Social Networking: Boundaries and Limits Part 1: Ethics

    ERIC Educational Resources Information Center

    Aragon, Antonette; AlDoubi, Suzan; Kaminski, Karen; Anderson, Sharon K.; Isaacs, Nelda

    2014-01-01

    The number of educators, administrators, and institutions that utilize social networking has increased dramatically. Many have adopted social networking in order to be up-to-date and connected with their students' learning beyond the boundaries of the classroom. However, this increase in the use of social networking in academia presents many…

  9. Predictors of Social Network Composition among Homeless and Runaway Adolescents

    ERIC Educational Resources Information Center

    Johnson, K.D.; Whitbeck, L.B.; Hoyt, D.R.

    2005-01-01

    Recent research on the social support networks of homeless and runaway youth suggest the social networks of runaway youth are made up largely of transient deviant peer relationships. This paper examined social network characteristics of 428 homeless and runaway adolescents from small-to moderate-sized cities in four Midwestern states. We…

  10. Social Network Analysis in Frontier Capital Markets

    DTIC Science & Technology

    2012-06-01

    generate results efficiently. References [Bor03] Stephen Borgatti . The key player problem. In Dynamic Social Network Modeling and Analysis: workshop...form of the equation for determining the centralization of a network is given by CX = ∑N i=1[CX( p ∗)− CX(pi)] max ∑N i=1[CX( p ∗)− CX(pi)] , (6) the...following equation: CD = ∑N i=1[CD( p ∗)− CD(pi)] (N − 1)(N − 2) . Here the maximum possible sum of differences in the denominator in (6) is given by

  11. Social support, stress, health, and academic success in Ghanaian adolescents: a path analysis.

    PubMed

    Glozah, Franklin N; Pevalin, David J

    2014-06-01

    The aim of this study is to gain a better understanding of the role psychosocial factors play in promoting the health and academic success of adolescents. A total of 770 adolescent boys and girls in Senior High Schools were randomly selected to complete a self-report questionnaire. School reported latest terminal examination grades were used as the measure of academic success. Structural equation modelling indicated a relatively good fit to the posteriori model with four of the hypothesised paths fully supported and two partially supported. Perceived social support was negatively related to stress and predictive of health and wellbeing but not academic success. Stress was predictive of health but not academic success. Finally, health and wellbeing was able to predict academic success. These findings have policy implications regarding efforts aimed at promoting the health and wellbeing as well as the academic success of adolescents in Ghana.

  12. The Influence of iPad Technology on the Academic and Social Experiences of Veteran and Military Students: Academic Preparation, Collaboration Socialization, and Information Access

    ERIC Educational Resources Information Center

    Compomizzi, Joseph

    2013-01-01

    With the recent changes to the Post 9/11 GI Bill, it is anticipated that the number of military personnel and U.S. veteran students enrolled in college will double to nearly two million by 2015. As non-traditional students, military and veteran college students also have unique social and academic experiences and needs which have been identified…

  13. Evaluating the Predictive Validity of Academic and Social-Emotional Screening Assessments for Measuring Academic and Social-Emotional Success at the End of First Grade

    ERIC Educational Resources Information Center

    Erhart, Amber C.

    2013-01-01

    By the end of the kindergarten, students are expected to possess early academic skills as well as the social maturity to be successful in first grade. Students leaving kindergarten without these readiness skills are sometimes held back in first grade or referred for a special education evaluation in later grades if they fail to make adequate…

  14. Classroom social experiences as predictors of academic performance.

    PubMed

    Flook, Lisa; Repetti, Rena L; Ullman, Jodie B

    2005-03-01

    A model linking children's peer acceptance in the classroom to academic performance via academic self-concept and internalizing symptoms was tested in a longitudinal study. A sample of 248 children was followed from 4th to 6th grade, with data collected from different informants in each year of the study to reduce respondent bias. A path analysis supported the model; a lack of peer acceptance in the classroom in 4th grade predicted lower academic self-concept and more internalizing symptoms the following year, which in turn, predicted lower academic performance in 6th grade. An alternative path with internalizing symptoms predicting declines in peer acceptance was tested and received some support as well. Implications of the findings for schools are discussed.

  15. Social selection and peer influence in an online social network.

    PubMed

    Lewis, Kevin; Gonzalez, Marco; Kaufman, Jason

    2012-01-03

    Disentangling the effects of selection and influence is one of social science's greatest unsolved puzzles: Do people befriend others who are similar to them, or do they become more similar to their friends over time? Recent advances in stochastic actor-based modeling, combined with self-reported data on a popular online social network site, allow us to address this question with a greater degree of precision than has heretofore been possible. Using data on the Facebook activity of a cohort of college students over 4 years, we find that students who share certain tastes in music and in movies, but not in books, are significantly likely to befriend one another. Meanwhile, we find little evidence for the diffusion of tastes among Facebook friends-except for tastes in classical/jazz music. These findings shed light on the mechanisms responsible for observed network homogeneity; provide a statistically rigorous assessment of the coevolution of cultural tastes and social relationships; and suggest important qualifications to our understanding of both homophily and contagion as generic social processes.

  16. Social selection and peer influence in an online social network

    PubMed Central

    Lewis, Kevin; Gonzalez, Marco; Kaufman, Jason

    2012-01-01

    Disentangling the effects of selection and influence is one of social science's greatest unsolved puzzles: Do people befriend others who are similar to them, or do they become more similar to their friends over time? Recent advances in stochastic actor-based modeling, combined with self-reported data on a popular online social network site, allow us to address this question with a greater degree of precision than has heretofore been possible. Using data on the Facebook activity of a cohort of college students over 4 years, we find that students who share certain tastes in music and in movies, but not in books, are significantly likely to befriend one another. Meanwhile, we find little evidence for the diffusion of tastes among Facebook friends—except for tastes in classical/jazz music. These findings shed light on the mechanisms responsible for observed network homogeneity; provide a statistically rigorous assessment of the coevolution of cultural tastes and social relationships; and suggest important qualifications to our understanding of both homophily and contagion as generic social processes. PMID:22184242

  17. Access, engagement, networks, and norms: Dimensions of social capital at work in a first grade classroom

    NASA Astrophysics Data System (ADS)

    Wexler-Robock, Stephanie

    Social capital refers to access and use of resources available through one's networks to solve problems, and the norms that reflect inclusive or exclusive access to those networks and resources. Research has found positive relationships between social capital, academic achievement, and attainment. Studies, however, have generally examined social capital through factors that occur outside the classroom; students who have social capital, acquired through their family and community relationships, seem to be more successful academically. Limited research has explored what if any factors within the classroom might impact the production, and nature of social capital, or its workings in a classroom. The purpose of this study was to explore the workings and nature of classroom social capital, including its possible relationships to engagement and cognition among 5 student participants. Using methods of qualitative data collection, mixed methods were used to analyze information resources, participants' networking, student work, and classroom discourse. Eight interdependent networking factors and 3 overarching patterns of norms were discovered. The networking factors reflected the structure, content, processes, purposes, and acceptability of participants' networking. The norms, also working interdependently, appeared to promote or inhibit among other things, engagement in networking, help seeking, access, sharing, and intertextual use of diverse, often complex sources of information. Through interaction of the 8 factors and 3 overarching norms, ongoing outcomes of networking appeared to include the creation of bridging (inclusive) and bonding (exclusive) forms of social capital, and depth of scientific conceptual understanding, in this case, about birds. Bridging social capital appeared related to willingness to engage in strong and weak tie networking, help seeking, intertextuality, and possibly to mastery goal orientation for all participants, regardless of reading level

  18. New Practices in Doing Academic Development: Twitter as an Informal Learning Space

    ERIC Educational Resources Information Center

    McPherson, Megan; Budge, Kylie; Lemon, Narelle

    2015-01-01

    Using social media platforms to build informal learning processes and social networks is significant in academic development practices within higher education. We present three vignettes illustrating academic practices occurring on Twitter to show that using social media is beneficial for building networks of academics, locally and globally,…

  19. From biological and social network metaphors to coupled bio-social wireless networks

    PubMed Central

    Barrett, Christopher L.; Eubank, Stephen; Anil Kumar, V.S.; Marathe, Madhav V.

    2010-01-01

    Biological and social analogies have been long applied to complex systems. Inspiration has been drawn from biological solutions to solve problems in engineering products and systems, ranging from Velcro to camouflage to robotics to adaptive and learning computing methods. In this paper, we present an overview of recent advances in understanding biological systems as networks and use this understanding to design and analyse wireless communication networks. We expand on two applications, namely cognitive sensing and control and wireless epidemiology. We discuss how our work in these two applications is motivated by biological metaphors. We believe that recent advances in computing and communications coupled with advances in health and social sciences raise the possibility of studying coupled bio-social communication networks. We argue that we can better utilise the advances in our understanding of one class of networks to better our understanding of the other. PMID:21643462

  20. Online social networking and addiction--a review of the psychological literature.

    PubMed

    Kuss, Daria J; Griffiths, Mark D

    2011-09-01

    Social Networking Sites (SNSs) are virtual communities where users can create individual public profiles, interact with real-life friends, and meet other people based on shared interests. They are seen as a 'global consumer phenomenon' with an exponential rise in usage within the last few years. Anecdotal case study evidence suggests that 'addiction' to social networks on the Internet may be a potential mental health problem for some users. However, the contemporary scientific literature addressing the addictive qualities of social networks on the Internet is scarce. Therefore, this literature review is intended to provide empirical and conceptual insight into the emerging phenomenon of addiction to SNSs by: (1) outlining SNS usage patterns, (2) examining motivations for SNS usage, (3) examining personalities of SNS users, (4) examining negative consequences of SNS usage, (5) exploring potential SNS addiction, and (6) exploring SNS addiction specificity and comorbidity. The findings indicate that SNSs are predominantly used for social purposes, mostly related to the maintenance of established offline networks. Moreover, extraverts appear to use social networking sites for social enhancement, whereas introverts use it for social compensation, each of which appears to be related to greater usage, as does low conscientiousness and high narcissism. Negative correlates of SNS usage include the decrease in real life social community participation and academic achievement, as well as relationship problems, each of which may be indicative of potential addiction.

  1. Online Social Networking and Addiction—A Review of the Psychological Literature

    PubMed Central

    Kuss, Daria J.; Griffiths, Mark D.

    2011-01-01

    Social Networking Sites (SNSs) are virtual communities where users can create individual public profiles, interact with real-life friends, and meet other people based on shared interests. They are seen as a ‘global consumer phenomenon’ with an exponential rise in usage within the last few years. Anecdotal case study evidence suggests that ‘addiction’ to social networks on the Internet may be a potential mental health problem for some users. However, the contemporary scientific literature addressing the addictive qualities of social networks on the Internet is scarce. Therefore, this literature review is intended to provide empirical and conceptual insight into the emerging phenomenon of addiction to SNSs by: (1) outlining SNS usage patterns, (2) examining motivations for SNS usage, (3) examining personalities of SNS users, (4) examining negative consequences of SNS usage, (5) exploring potential SNS addiction, and (6) exploring SNS addiction specificity and comorbidity. The findings indicate that SNSs are predominantly used for social purposes, mostly related to the maintenance of established offline networks. Moreover, extraverts appear to use social networking sites for social enhancement, whereas introverts use it for social compensation, each of which appears to be related to greater usage, as does low conscientiousness and high narcissism. Negative correlates of SNS usage include the decrease in real life social community participation and academic achievement, as well as relationship problems, each of which may be indicative of potential addiction. PMID:22016701

  2. Resolving social dilemmas on evolving random networks

    NASA Astrophysics Data System (ADS)

    Szolnoki, Attila; Perc, Matjaž

    2009-05-01

    We show that strategy-independent adaptations of random interaction networks can induce powerful mechanisms, ranging from the Red Queen to group selection, which promote cooperation in evolutionary social dilemmas. These two mechanisms emerge spontaneously as dynamical processes due to deletions and additions of links, which are performed whenever players adopt new strategies and after a certain number of game iterations, respectively. The potency of cooperation promotion, as well as the mechanism responsible for it, can thereby be tuned via a single parameter determining the frequency of link additions. We thus demonstrate that coevolving random networks may evoke an appropriate mechanism for each social dilemma, such that cooperation prevails even in highly unfavorable conditions.

  3. Privacy policies for health social networking sites.

    PubMed

    Li, Jingquan

    2013-01-01

    Health social networking sites (HSNS), virtual communities where users connect with each other around common problems and share relevant health data, have been increasingly adopted by medical professionals and patients. The growing use of HSNS like Sermo and PatientsLikeMe has prompted public concerns about the risks that such online data-sharing platforms pose to the privacy and security of personal health data. This paper articulates a set of privacy risks introduced by social networking in health care and presents a practical example that demonstrates how the risks might be intrinsic to some HSNS. The aim of this study is to identify and sketch the policy implications of using HSNS and how policy makers and stakeholders should elaborate upon them to protect the privacy of online health data.

  4. Privacy policies for health social networking sites

    PubMed Central

    Li, Jingquan

    2013-01-01

    Health social networking sites (HSNS), virtual communities where users connect with each other around common problems and share relevant health data, have been increasingly adopted by medical professionals and patients. The growing use of HSNS like Sermo and PatientsLikeMe has prompted public concerns about the risks that such online data-sharing platforms pose to the privacy and security of personal health data. This paper articulates a set of privacy risks introduced by social networking in health care and presents a practical example that demonstrates how the risks might be intrinsic to some HSNS. The aim of this study is to identify and sketch the policy implications of using HSNS and how policy makers and stakeholders should elaborate upon them to protect the privacy of online health data. PMID:23599228

  5. Integrating social networks and human social motives to achieve social influence at scale.

    PubMed

    Contractor, Noshir S; DeChurch, Leslie A

    2014-09-16

    The innovations of science often point to ideas and behaviors that must spread and take root in communities to have impact. Ideas, practices, and behaviors need to go from accepted truths on the part of a few scientists to commonplace beliefs and norms in the minds of the many. Moving from scientific discoveries to public good requires social influence. We introduce a structured influence process (SIP) framework to explain how social networks (i.e., the structure of social influence) and human social motives (i.e., the process of social influence wherein one person's attitudes and behaviors affect another's) are used collectively to enact social influence within a community. The SIP framework advances the science of scientific communication by positing social influence events that consider both the "who" and the "how" of social influence. This framework synthesizes core ideas from two bodies of research on social influence. The first is network research on social influence structures, which identifies who are the opinion leaders and who among their network of peers shapes their attitudes and behaviors. The second is research on social influence processes in psychology, which explores how human social motives such as the need for accuracy or the need for affiliation stimulate behavior change. We illustrate the practical implications of the SIP framework by applying it to the case of reducing neonatal mortality in India.

  6. Integrating social networks and human social motives to achieve social influence at scale

    PubMed Central

    Contractor, Noshir S.; DeChurch, Leslie A.

    2014-01-01

    The innovations of science often point to ideas and behaviors that must spread and take root in communities to have impact. Ideas, practices, and behaviors need to go from accepted truths on the part of a few scientists to commonplace beliefs and norms in the minds of the many. Moving from scientific discoveries to public good requires social influence. We introduce a structured influence process (SIP) framework to explain how social networks (i.e., the structure of social influence) and human social motives (i.e., the process of social influence wherein one person’s attitudes and behaviors affect another’s) are used collectively to enact social influence within a community. The SIP framework advances the science of scientific communication by positing social influence events that consider both the “who” and the “how” of social influence. This framework synthesizes core ideas from two bodies of research on social influence. The first is network research on social influence structures, which identifies who are the opinion leaders and who among their network of peers shapes their attitudes and behaviors. The second is research on social influence processes in psychology, which explores how human social motives such as the need for accuracy or the need for affiliation stimulate behavior change. We illustrate the practical implications of the SIP framework by applying it to the case of reducing neonatal mortality in India. PMID:25225373

  7. Social Networks and Welfare in Future Animal Management.

    PubMed

    Koene, Paul; Ipema, Bert

    2014-03-17

    It may become advantageous to keep human-managed animals in the social network groups to which they have adapted. Data concerning the social networks of farm animal species and their ancestors are scarce but essential to establishing the importance of a natural social network for farmed animal species. Social Network Analysis (SNA) facilitates the characterization of social networking at group, subgroup and individual levels. SNA is currently used for modeling the social behavior and management of wild animals and social welfare of zoo animals. It has been recognized for use with farm animals but has yet to be applied for management purposes. Currently, the main focus is on cattle, because in large groups (poultry), recording of individuals is expensive and the existence of social networks is uncertain due to on-farm restrictions. However, in many cases, a stable social network might be important to individual animal fitness, survival and welfare. For instance, when laying hens are not too densely housed, simple networks may be established. We describe here small social networks in horses, brown bears, laying hens and veal calves to illustrate the importance of measuring social networks among animals managed by humans. Emphasis is placed on the automatic measurement of identity, location, nearest neighbors and nearest neighbor distance for management purposes. It is concluded that social networks are important to the welfare of human-managed animal species and that welfare management based on automatic recordings will become available in the near future.

  8. Analysing the Correlation between Social Network Analysis Measures and Performance of Students in Social Network-Based Engineering Education

    ERIC Educational Resources Information Center

    Putnik, Goran; Costa, Eric; Alves, Cátia; Castro, Hélio; Varela, Leonilde; Shah, Vaibhav

    2016-01-01

    Social network-based engineering education (SNEE) is designed and implemented as a model of Education 3.0 paradigm. SNEE represents a new learning methodology, which is based on the concept of social networks and represents an extended model of project-led education. The concept of social networks was applied in the real-life experiment,…

  9. USING SOCIAL NETWORK ANALYSIS TO EVALUATE COMMUNITY CAPACITY BUILDING OF A REGIONAL COMMUNITY CANCER NETWORK

    PubMed Central

    Luque, John; Tyson, Dinorah Martinez; Lee, Ji-Hyun; Gwede, Clement; Vadaparampil, Susan; Noel-Thomas, Shalewa; Meade, Cathy

    2013-01-01

    The Tampa Bay Community Cancer Network (TBCCN) is one of 25 Community Network Programs funded by the National Cancer Institute’s (NCI’s) Center to Reduce Cancer Health Disparities with the objectives to create a collaborative infrastructure of academic and community based organizations and to develop effective and sustainable interventions to reduce cancer health disparities. In order to describe the network characteristics of the TBCCN as part of our ongoing evaluation efforts, we conducted social network analysis surveys with our community partners in 2007 and 2008. One key finding showed that the mean trust value for the 20 community partners in the study increased from 1.8 to 2.1 (p<0.01), suggesting a trend toward increased trust in the network. These preliminary results suggest that TBCCN has led to greater collaboration among the community partners that were formed through its capacity-building and evidence-based dissemination activities for impacting cancer health disparities at the community level. PMID:24049217

  10. Disaster response preparedness coordination through social networks.

    PubMed

    Hossain, Liaquat; Kuti, Matthew

    2010-07-01

    Studies of coordination in human networks have typically presented models that require stable working relationships. These models cannot be applied to emergency response management, which demands distributed coordination in volatile situations. This paper argues that changes to interconnectedness of nodes in a network may have implications for the potential to coordinate. A social network-based coordination model is proposed to explore an organizational actor's state of readiness in extreme conditions. To test this hypothesis, the study investigates survey data from state law enforcement, state emergency services and local law enforcement, presenting agency-based (macro) and cross-agency (micro) analysis on 224 completed questionnaires. The main findings are: (i) there is a positive correlation between network connectedness and the potential to coordinate; (ii) the concept of tiers within an emergency response network may exist and be characterized by the sub-network with which an organization associates; (iii) a range or threshold characterizes how interconnected an organization at a given tier should be.

  11. Message framing in social networking sites.

    PubMed

    Kao, Danny Tengti; Chuang, Shih-Chieh; Wang, Sui-Min; Zhang, Lei

    2013-10-01

    Online social networking sites represent significant new opportunities for Internet advertisers. However, results based on the real world cannot be generalized to all virtual worlds. In this research, the moderating effects of need for cognition (NFC) and knowledge were applied to examine the impact of message framing on attitudes toward social networking sites. A total of 216 undergraduates participated in the study. Results reveal that for social networking sites, while high-NFC individuals form more favorable attitudes toward negatively framed messages than positively framed messages, low-NFC individuals form more favorable attitudes toward positively framed messages than negatively framed messages. In addition, low-knowledge individuals demonstrate more favorable attitudes toward negatively framed messages than positively framed messages; however, the framing effect does not differentially affect the attitudes of high-knowledge individuals. Furthermore, the framing effect does not differentially affect the attitudes of high-NFC individuals with high knowledge. In contrast, low-NFC individuals with low knowledge hold more favorable attitudes toward positively framed messages than negatively framed messages.

  12. Qualitative Analysis of Commercial Social Network Profiles

    NASA Astrophysics Data System (ADS)

    Melendez, Lester; Wolfson, Ouri; Adjouadi, Malek; Rishe, Naphtali

    Social-networking sites have become an integral part of many users' daily internet routine. Commercial enterprises have been quick to recognize this and are subsequently creating profiles for many of their products and services. Commercial enterprises use social network profiles to target and interact with potential customers as well as to provide a gateway for users of the product or service to interact with each other. Many commercial enterprises use the statistics from their product or service's social network profile to tout the popularity and success of the product or service being showcased. They will use statistics such as number of friends, number of daily visits, number of interactions, and other similar measurements to quantify their claims. These statistics are often not a clear indication of the true popularity and success of the product. In this chapter the term product is used to refer to any tangible or intangible product, service, celebrity, personality, film, book, or other entity produced by a commercial enterprise.

  13. Subjective well-being associated with size of social network and social support of elderly.

    PubMed

    Wang, Xingmin

    2016-06-01

    The current study examined the impact of size of social network on subjective well-being of elderly, mainly focused on confirmation of the mediator role of perceived social support. The results revealed that both size of social network and perceived social support were significantly correlated with subjective well-being. Structural equation modeling indicated that perceived social support partially mediated size of social network to subjective well-being. The final model also revealed significant both paths from size of social network to subjective well-being through perceived social support. The findings extended prior researches and provided valuable evidence on how to promote mental health of the elderly.

  14. Use of social network sites and instant messaging does not lead to increased offline social network size, or to emotionally closer relationships with offline network members.

    PubMed

    Pollet, Thomas V; Roberts, Sam G B; Dunbar, Robin I M

    2011-04-01

    The effect of Internet use on social relationships is still a matter of intense debate. This study examined the relationships between use of social media (instant messaging and social network sites), network size, and emotional closeness in a sample of 117 individuals aged 18 to 63 years old. Time spent using social media was associated with a larger number of online social network "friends." However, time spent using social media was not associated with larger offline networks, or feeling emotionally closer to offline network members. Further, those that used social media, as compared to non-users of social media, did not have larger offline networks, and were not emotionally closer to offline network members. These results highlight the importance of considering potential time and cognitive constraints on offline social networks when examining the impact of social media use on social relationships.

  15. Social Media for Professional Development and Networking Opportunities in Academia

    ERIC Educational Resources Information Center

    Donelan, Helen

    2016-01-01

    The research reported on in this article explores the use of social media for work-related or professional purposes. In particular, it focuses on the perceptions and use of social media by academics in the UK. The purpose of the research was to explore the potential social media has to facilitate the changing landscape of higher education and…

  16. 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.

  17. Recruitment dynamics in adaptive social networks

    NASA Astrophysics Data System (ADS)

    Shkarayev, Maxim S.; Schwartz, Ira B.; Shaw, Leah B.

    2013-06-01

    We model recruitment in adaptive social networks in the presence of birth and death processes. Recruitment is characterized by nodes changing their status to that of the recruiting class as a result of contact with recruiting nodes. Only a susceptible subset of nodes can be recruited. The recruiting individuals may adapt their connections in order to improve recruitment capabilities, thus changing the network structure adaptively. We derive a mean-field theory to predict the dependence of the growth threshold of the recruiting class on the adaptation parameter. Furthermore, we investigate the effect of adaptation on the recruitment level, as well as on network topology. The theoretical predictions are compared with direct simulations of the full system. We identify two parameter regimes with qualitatively different bifurcation diagrams depending on whether nodes become susceptible frequently (multiple times in their lifetime) or rarely (much less than once per lifetime).

  18. On-light: optical social network

    NASA Astrophysics Data System (ADS)

    Dionísio, Rogério P.

    2014-07-01

    Social networks are a recent phenomenon of communication, with a high prevalence of young users. This concept serves as a motto for a multidisciplinary project, which aims to create a simple communication network, using light as the transmission medium. Mixed team, composed by students from secondary and higher education schools, are partners on the development of an optical transceiver. A LED lamp array and a small photodiode are the optical transmitter and receiver, respectively. Using several transceivers aligned with each other, this configuration creates a ring communication network, enabling the exchange of messages between users. Through this project, some concepts addressed in physics classes from secondary schools (e.g. photoelectric phenomena and the properties of light) are experimentally verified and used to communicate, in a classroom or a laboratory.

  19. Influencing Busy People in a Social Network

    PubMed Central

    Sarkar, Kaushik; Sundaram, Hari

    2016-01-01

    We identify influential early adopters in a social network, where individuals are resource constrained, to maximize the spread of multiple, costly behaviors. A solution to this problem is especially important for viral marketing. The problem of maximizing influence in a social network is challenging since it is computationally intractable. We make three contributions. First, we propose a new model of collective behavior that incorporates individual intent, knowledge of neighbors actions and resource constraints. Second, we show that the multiple behavior influence maximization is NP-hard. Furthermore, we show that the problem is submodular, implying the existence of a greedy solution that approximates the optimal solution to within a constant. However, since the greedy algorithm is expensive for large networks, we propose efficient heuristics to identify the influential individuals, including heuristics to assign behaviors to the different early adopters. We test our approach on synthetic and real-world topologies with excellent results. We evaluate the effectiveness under three metrics: unique number of participants, total number of active behaviors and network resource utilization. Our heuristics produce 15-51% increase in expected resource utilization over the naïve approach. PMID:27711127

  20. Influencing Busy People in a Social Network.

    PubMed

    Sarkar, Kaushik; Sundaram, Hari

    2016-01-01

    We identify influential early adopters in a social network, where individuals are resource constrained, to maximize the spread of multiple, costly behaviors. A solution to this problem is especially important for viral marketing. The problem of maximizing influence in a social network is challenging since it is computationally intractable. We make three contributions. First, we propose a new model of collective behavior that incorporates individual intent, knowledge of neighbors actions and resource constraints. Second, we show that the multiple behavior influence maximization is NP-hard. Furthermore, we show that the problem is submodular, implying the existence of a greedy solution that approximates the optimal solution to within a constant. However, since the greedy algorithm is expensive for large networks, we propose efficient heuristics to identify the influential individuals, including heuristics to assign behaviors to the different early adopters. We test our approach on synthetic and real-world topologies with excellent results. We evaluate the effectiveness under three metrics: unique number of participants, total number of active behaviors and network resource utilization. Our heuristics produce 15-51% increase in expected resource utilization over the naïve approach.

  1. Social Network Influence and Personal Financial Status

    NASA Astrophysics Data System (ADS)

    Luo, Shaojun; Morone, Flaviano; Sarraute, Carlos; Makse, Hernan

    Networks of social ties emerging from individual economic needs display a highly structured architecture. In response to socio-economic demands, people reshape their circle of contacts for maximizing their social status, and ipso facto, the pattern of their interconnections is strongly correlates with their personal financial situation. In this work we transform this qualitative and verbal statement into an operative definition, which allows us to quantify the economic wellness of individuals trough a measure of their collective influence. We consider the network of mobile phone calls made by the Mexican population during three months, in order to study the correlation of person's economic situation with her network location. Notably, we find that rich people tend to be also the most influential nodes, i.e., they self-organize to optimally position themselves in the network. This finding may be also raised at the level of a principle, a fact that would explain the emergence of the phenomenon of collective influence itself as the result of the local optimization of socio-economic interactions. Our method represents a powerful and efficient indicator of socio-economic robustness, which may be applied to maximize the effect of large scale economic intervention and stimulus policies

  2. Popularity, Social Acceptance, and Aggression in Adolescent Peer Groups: Links with Academic Performance and School Attendance

    ERIC Educational Resources Information Center

    Schwartz, David; Gorman, Andrea Hopmeyer; Nakamoto, Jonathan; McKay, Tara

    2006-01-01

    This article reports a short-term longitudinal study focusing on popularity and social acceptance as predictors of academic engagement for a sample of 342 adolescents (approximate average age of 14). These youths were followed for 4 consecutive semesters. Popularity, social acceptance, and aggression were assessed with a peer nomination …

  3. Social and Academic Effects of Varying Types of Early Schooling Experiences.

    ERIC Educational Resources Information Center

    Jones, Ithel; Gullo, Dominic F.; Burton-Maxwell, Christine; Stoiber, Karen

    1998-01-01

    Examined the effects of early educational experiences on the academic achievement and social skills of 91 inner-city first graders. Found that, after controlling for first-grade teachers' instructional practices and beliefs, children with prekindergarten experience had higher scores in mathematics and language and higher social skills than…

  4. Interrupted Trajectories: The Impact of Academic Failure on the Social Mobility of Working-Class Students

    ERIC Educational Resources Information Center

    Byrom, Tina; Lightfoot, Nic

    2013-01-01

    Higher education (HE) is often viewed as a conduit for social mobility through which working-class students can secure improved life-chances. However, the link between HE and social mobility is largely viewed as unproblematic. Little research has explored the possible impact of academic failure (in HE) on the trajectories of working-class students…

  5. Developmental Antecedents and Social and Academic Consequences of Stereotype-Consciousness in Middle Childhood

    ERIC Educational Resources Information Center

    McKown, Clark; Strambler, Michael J.

    2009-01-01

    The present study, which included 124 children ages 5-11, examined developmental antecedents and social and academic consequences of stereotype-consciousness, defined as awareness of others' stereotypes. Greater age and more frequent parent-reported racial socialization practices were associated with greater likelihood of stereotype-consciousness.…

  6. Personality and Problem Behaviours as Predictors of Adolescents' Social Status: Academic Track and Gender as Moderators

    ERIC Educational Resources Information Center

    Hubers, Mireille D.; Burk, William J.; Segers, Eliane; Kleinjan, Marloes; Scholte, Ron H. J.; Cillessen, Antonius H. N.

    2016-01-01

    This study examined adolescent personality and problem behaviours as predictors of two types of social status: social preference and popularity. Academic track (college preparatory and vocational) and gender were expected to moderate these associations. The sample included 693 students (49.0% female; M = 15.46 years) attending classrooms in two…

  7. Part I: Advancing the Conversation. Just Scholarship! Publishing Academic Research with a Social Justice Focus

    ERIC Educational Resources Information Center

    Salazar, Maria del Carmen; Rios, Francisco

    2016-01-01

    This article provides support to academics who are committed to engaging in scholarly activities in ways that promote an explicit social justice focus. Moreover, this article provides a broad overview of how to pursue social justice purposes in the field of education throughout the process of scholarly production and dissemination.

  8. Longitudinal Associations between Depressive Problems, Academic Performance, and Social Functioning in Adolescent Boys and Girls

    ERIC Educational Resources Information Center

    Verboom, Charlotte E.; Sijtsema, Jelle J.; Verhulst, Frank C.; Penninx, Brenda W. J. H.; Ormel, Johan

    2014-01-01

    Depressive problems and academic performance, social well-being, and social problems in adolescents are strongly associated. However, longitudinal and bidirectional relations between the two remain unclear, as well as the role of gender. Consequently, this study focuses on the relation between depressive problems and three types of functioning in…

  9. The Impact of Racial Socialization on the Academic Performance and Prosocial Involvement of Black Emerging Adults

    ERIC Educational Resources Information Center

    White-Johnson, Rhonda L.

    2015-01-01

    Despite evidence linking racial socialization processes to the functioning of Black youth, the effect of these parenting practices among Black college students is less clear. This study examined the relationship among racial socialization messages, academic performance, and prosocial involvement for 295 Black college students. Results revealed…

  10. A Social Support Intervention and Academic Achievement in College: Does Perceived Loneliness Mediate the Relationship?

    ERIC Educational Resources Information Center

    Mattanah, Jonathan F.; Brooks, Leonie J.; Brand, Bethany L.; Quimby, Julie L.; Ayers, Jean F.

    2012-01-01

    The authors examined whether a social support intervention reduced loneliness and increased academic achievement among college freshmen. Eighty-eight 1st-year students randomly assigned to a social support group program reported less loneliness in the spring of their freshman year and obtained higher grade point averages in the fall of their…

  11. A Longitudinal Study of the Social and Academic Competence of Economically Disadvantaged Bilingual Preschool Children

    ERIC Educational Resources Information Center

    Oades-Sese, Geraldine V.; Esquivel, Giselle B.; Kaliski, Pamela K.; Maniatis, Lisette

    2011-01-01

    This longitudinal study was conducted to gain understanding of the social-emotional and academic development of economically disadvantaged bilingual preschool children. In Study 1, the authors combined cognitive, psychosocial, and cultural-linguistic factors to determine profiles of social competence as measured by peer play. A person-centered…

  12. Academic Achievement of High School Students in Relation to Their Anxiety, Emotional Maturity and Social Maturity

    ERIC Educational Resources Information Center

    Puar, Surjit Singh

    2013-01-01

    The present study has been designed to investigate the non-cognitive variables like anxiety, emotional maturity and social maturity and their relationship with academic achievement and also to see the locale-wise differences on the basis of their anxiety, emotional maturity and social maturity. The study was conducted over a sample of 400 (200…

  13. Investigating whether and when Family Ethnic/Race Socialization Improves Academic Performance

    ERIC Educational Resources Information Center

    Brown, Tony N.; Tanner-Smith, Emily E.; Lesane-Brown, Chase L.

    2009-01-01

    This study examined the link between family ethnic/race socialization and Black kindergarteners' and first graders' academic performance as measured by their general knowledge, math, and reading assessment scores. Drawing on identity theory, the authors predicted that repeated instances of family ethnic/race socialization would increase academic…

  14. Social and Academic Support and Adaptation to College: Exploring the Relationships between Indicators' College Students

    ERIC Educational Resources Information Center

    Turkpour, Azita; Mehdinezhad, Vali

    2016-01-01

    The aim of this study was to demonstrate the relation between social and academic support on student ability to adapt to college. Results demonstrated a weak and reverse relation between expression of support and personal ability to adapt and total adaptation. A direct relation was determined between emotional support and social adaptation and…

  15. Social Experiences in Kindergarten and Academic Achievement in Grade 1: A Monozygotic Twin Difference Study

    ERIC Educational Resources Information Center

    Vitaro, Frank; Boivin, Michel; Brendgen, Mara; Girard, Alain; Dionne, Ginette

    2012-01-01

    The goal of this study was to examine how different types of social experiences in kindergarten relate to Grade 1 academic achievement, while controlling for possible genetic and shared environmental influences through the use of the monozygotic (MZ) twin difference method. Social experiences in kindergarten included relationship quality with the…

  16. Pathways to School Readiness: Executive Functioning Predicts Academic and Social-Emotional Aspects of School Readiness

    ERIC Educational Resources Information Center

    Mann, Trisha D.; Hund, Alycia M.; Hesson-McInnis, Matthew S.; Roman, Zachary J.

    2017-01-01

    The current study specified the extent to which hot and cool aspects of executive functioning predicted academic and social-emotional indicators of school readiness. It was unique in focusing on positive aspects of social-emotional readiness, rather than problem behaviors. One hundred four 3-5-year-old children completed tasks measuring executive…

  17. Socially Oriented Motivational Goals and Academic Achievement: Similarities between Native and Anglo Americans

    ERIC Educational Resources Information Center

    Ali, Jinnat; McInerney, Dennis M.; Craven, Rhonda G.; Yeung, Alexander Seeshing; King, Ronnel B.

    2014-01-01

    The authors examined the relations between two socially oriented dimensions of student motivation and academic achievement of Native (Navajo) American and Anglo American students. Using confirmatory factor analysis, a multidimensional and hierarchical model was found to explain the relations between performance and social goals. Four first-order…

  18. "Social Skills": Following a Travelling Concept from American Academic Discourse to Contemporary Danish Welfare Institutions

    ERIC Educational Resources Information Center

    Prieur, Annick; Jensen, Sune Qvotrup; Laursen, Julie; Pedersen, Oline

    2016-01-01

    The article traces the origin and development of the concept of social skills in first and foremost American academic discourse. As soon as the concept of social skills was coined, the concern for people lacking such skills started and has been on the increase ever since (now sharing public attention with related concepts such as self-control,…

  19. Social-Demographic, School, Neighborhood, and Parenting Influences on the Academic Achievement of Latino Young Adolescents.

    ERIC Educational Resources Information Center

    Eamon, Mary Keegan

    2005-01-01

    Using data from a national sample of 388 Latino young adolescents, this study identified the social-demographic characteristics, influences in the broader social environment, and parenting practices that predict youth academic achievement. Youths who were Mexican American, older, and had an English language problem had lower levels of reading and…

  20. Social Media Use, Loneliness, and Academic Achievement: A Correlational Study with Urban High School Students

    ERIC Educational Resources Information Center

    Neto, Roque; Golz, Nancy; Polega, Meaghan

    2015-01-01

    This study explored the association between social media use, loneliness, and academic achievement in high school students and identified the demographic characteristics associated with these three elements. This study also aimed to identify the percentage of variance in loneliness accounted for by social media use and GPA. Participants were 345…

  1. Fear of the Blank Page: Teaching Academic and Professional Writing in Social Work

    ERIC Educational Resources Information Center

    Schuldberg, Jean; Cavanaugh, Lorie; Aguilar, Gabriel; Cammack, Jessica; Diaz, Timmie; Flournoy, Noble, Jr.; Taylor, Kimberly; Olson, Sarah Nicole; Sampson, Christine

    2007-01-01

    A qualitative study of a pilot writing course for baccalaureate social work (BSW) students evaluated the process and development of students' academic and professional writing. The course provided students the opportunity to build writing skills, develop a professional paper, and present at a national social work conference. Students and…

  2. Academic Affiliations of Social Work Journal Article Authors, 2004-2008

    ERIC Educational Resources Information Center

    Ligon, Jan; Cobb, Alicia; Thyer, Bruce

    2012-01-01

    The researchers tabulated the academic affiliations of the authors of all articles published between 2004 and 2008 in 6 major social work journals to produce a ranking of the colleges and universities whose faculty made the most substantive contributions to the social work literature. The results of this analysis are compared with findings of 5…

  3. Self-concept in adolescence: a longitudinal study on reciprocal effects of self-perceptions in academic and social domains.

    PubMed

    Preckel, Franzis; Niepel, Christoph; Schneider, Marian; Brunner, Martin

    2013-12-01

    Fostering social and academic self-concepts are central educational goals. During mid-adolescence academic engagement and success seem to be devalued by peers and to be negatively associated with students' social standing. For this age group, is the development of a positive academic self-concept compatible with the development of a positive social self-concept? We investigated relations among academic self-concept, social self-concept, and academic achievement. 1282 students (47.60% female) participated in three-waves of measurement in Grade 5, 6, and 8. Earlier social self-concept of acceptance negatively predicted changes in academic self-concept over time while earlier social self-concept of assertion positively predicted changes in academic self-concept. There were no significant relations between social self-concepts and achievement but positive reciprocal relations between academic self-concept and achievement. Results indicate that fostering adolescents self-concept in social and academic domains are compatible goals. However, some students need support in managing the challenge to coordinate social and academic goals.

  4. The Embeddedness of Adolescent Friendship Nominations: The Formation of Social Capital in Emergent Network Structures

    PubMed Central

    Frank, Kenneth A.; Muller, Chandra; Mueller, Anna S.

    2014-01-01

    Although research on social embeddedness and social capital con-firms the value of friendship networks, little has been written about how social relations form and are structured by social institutions. Using data from the Adolescent Health and Academic Achievement study and the National Longitudinal Study of Adolescent Health, the authors show that the odds of a new friendship nomination were 1.77 times greater within clusters of high school students taking courses together than between them. The estimated effect cannot be attributed to exposure to peers in similar grade levels, indirect friendship links, or pair-level course overlap, and the finding is robust to alternative model specifications. The authors also show how tendencies associated with status hierarchy inhering in triadic friendship nominations are neutralized within the clusters. These results have implications for the production and distribution of social capital within social systems such as schools, giving the clusters social salience as “local positions.” PMID:25364011

  5. Health and the structure of adolescent social networks.

    PubMed

    Haas, Steven A; Schaefer, David R; Kornienko, Olga

    2010-12-01

    Much research has explored the role of social networks in promoting health through the provision of social support. However, little work has examined how social networks themselves may be structured by health. This article investigates the link between individuals' health and the characteristics of their social network positions. We first develop theoretical predictions for how health may influence the structure of adolescent networks. We then test these predictions using longitudinal analysis of the National Longitudinal Study of Adolescent Health (Add Health). We find important relationships between the health status of adolescents and the characteristics of the social network positions within which they are embedded. Overall we find that adolescents in poor health form smaller local networks and occupy less central global positions than their healthy peers. These results also have implications for social network research, expanding the scope of factors responsible for the network positions individuals occupy.

  6. Social networking technology, social network composition, and reductions in substance use among homeless adolescents.

    PubMed

    Rice, Eric; Milburn, Norweeta G; Monro, William

    2011-03-01

    Peer-based prevention programs for homeless youth are complicated by the potential for reinforcing high-risk behaviors among participants. The goal of this study is to understand how homeless youth could be linked to positive peers in prevention programming by understanding where in social and physical space positive peers for homeless youth are located, how these ties are associated with substance use, and the role of social networking technologies (e.g., internet and cell phones) in this process. Personal social network data were collected from 136 homeless adolescents in Los Angeles, CA. Respondents reported on composition of their social networks with respect to: home-based peers and parents (accessed via social networking technology; e.g., the internet, cell phone, texting), homeless peers and agency staff (accessed face-to-face) and whether or not network members were substance-using or non-substance-using. Associations between respondent's lifetime cocaine, heroin, and methamphetamine use and recent (previous 30 days) alcohol and marijuana use were assessed by the number of non-substance-using versus substance-using ties in multivariate linear regression models. 43% of adolescents reported a non-substance-using home-based tie. More of these ties were associated with less recent alcohol use. 62% of adolescents reported a substance-using homeless tie. More of these ties were associated with more recent marijuana use as well as more lifetime heroin and methamphetamine use. For homeless youth, who are physically disconnected from positive peers, social networking technologies can be used to facilitate the sorts of positive social ties that effective peer-based prevention programs require.

  7. Rumor diffusion in an interests-based dynamic social network.

    PubMed

    Tang, Mingsheng; Mao, Xinjun; Guessoum, Zahia; Zhou, Huiping

    2013-01-01

    To research rumor diffusion in social friend network, based on interests, a dynamic friend network is proposed, which has the characteristics of clustering and community, and a diffusion model is also proposed. With this friend network and rumor diffusion model, based on the zombie-city model, some simulation experiments to analyze the characteristics of rumor diffusion in social friend networks have been conducted. The results show some interesting observations: (1) positive information may evolve to become a rumor through the diffusion process that people may modify the information by word of mouth; (2) with the same average degree, a random social network has a smaller clustering coefficient and is more beneficial for rumor diffusion than the dynamic friend network; (3) a rumor is spread more widely in a social network with a smaller global clustering coefficient than in a social network with a larger global clustering coefficient; and (4) a network with a smaller clustering coefficient has a larger efficiency.

  8. The spread of behavior in an online social network experiment.

    PubMed

    Centola, Damon

    2010-09-03

    How do social networks affect the spread of behavior? A popular hypothesis states that networks with many clustered ties and a high degree of separation will be less effective for behavioral diffusion than networks in which locally redundant ties are rewired to provide shortcuts across the social space. A competing hypothesis argues that when behaviors require social reinforcement, a network with more clustering may be more advantageous, even if the network as a whole has a larger diameter. I investigated the effects of network structure on diffusion by studying the spread of health behavior through artificially structured online communities. Individual adoption was much more likely when participants received social reinforcement from multiple neighbors in the social network. The behavior spread farther and faster across clustered-lattice networks than across corresponding random networks.

  9. A Comparative Analysis of Social Media Usage and Academic Performance in Public and Private Senior High Schools

    ERIC Educational Resources Information Center

    Mingle, Jeffrey; Adams, Musah; Adjei, E. A.

    2016-01-01

    The study comparatively analyzed social media usage and academic performance in public and private senior high schools. The issue of social media and academic performance has been a very debatable topic with regard to its effect. This study further explores the relation between private and public schools in relation to social media use and…

  10. “Hidden” Social Networks in Behavior Change Interventions

    PubMed Central

    McAneney, Helen; Davis, Michael; Tully, Mark A.; Valente, Thomas W.; Kee, Frank

    2015-01-01

    We investigated whether “hidden” (or unobserved) social networks were evident in a 2011 physical activity behavior change intervention in Belfast, Northern Ireland. Results showed evidence of unobserved social networks in the intervention and illustrated how the network evolved over short periods and affected behavior. Behavior change interventions should account for the interaction among participants (i.e., social networks) and how such interactions affect intervention outcome. PMID:25602895

  11. Social Networks in the Virtual Science Laboratory

    SciTech Connect

    Chin, George; Myers, James D.; Hoyt, David W.

    2002-08-01

    Located at the Pacific Northwest National Laboratory (PNNL), the High Field Magnetic Resonance Facility (HFMRF) houses 11 nuclear magnetic resonance (NMR) spectrometers. Additionally, the Virtual Nuclear Magnetic Resonance Facility (VNMRF) provides on-line Internet access to these HFMRF spectrometers. Through the VNMRF and its suite of computer-supported cooperative work (CSCW) tools, researchers may collaboratively set the controls of an NMR spectrometer, execute an NMR experiment, acquire data, analyze results, and communicate with other researchers all from the comforts of their home institutions and their own offices. Virtual science laboratories like the VNMRF promote a compelling vision. Consistent with Wulf's notion of a "collaboratory," a virtual science laboratory is a "'center without walls', in which the nation's researchers can perform their research without regard to geographical location." Such a laboratory strives to provide an open research environment in which scientists from different disciplines may collaborate on advanced research using leading-edge instruments and tools, while reducing the physical, organizational, and political boundaries that confront researchers as they amass their collective skills, capabilities, and brainpower to solve the world's most challenging scientific problems. In this article, we describe the social networks that have emerged from the VNMRF and the impacts and influences that CSCW technologies have had upon those networks. The development of social networks depends on various factors including personal and professional objectives, work functions, organizational roles, and afforded collaborative capabilities. As such, our results serve as a useful point of comparison and contrast in the analysis of social networks and CSCW impacts that evolve from scientific contexts as well as from other collaborative settings such as in business and education.

  12. Associations Between Social Support, Social Networks, and Financial Exploitation in Older Adults.

    PubMed

    Beach, Scott R; Schulz, Richard; Sneed, Rodlescia

    2016-04-01

    Social support and social networks are important correlates of elder mistreatment. This study tests hypothesized associations between perceived social support, social network size, and financial exploitation (FE). A population-based survey of 903 older adults (60+) in Allegheny County (Pittsburgh, Pennsylvania) found that lower perceived social support and larger social networks were simultaneously associated with higher risk for FE since age 60, controlling for known risk factors. The same associations were found for FE in the last 6 months. Older adults with larger social networks combined with lower perceived social support were most likely to report FE. When it comes to the role of social relationships and risk for FE, "more may not always be better." Encouragement to widen the social network by "making new friends" should be stressed less than making sure these new network members will truly be supportive of the older adult.

  13. Association between co-authorship network and scientific productivity and impact indicators in academic medical research centers: A case study in Iran

    PubMed Central

    Yousefi-Nooraie, Reza; Akbari-Kamrani, Marjan; Hanneman, Robert A; Etemadi, Arash

    2008-01-01

    Background We aimed to examine the co-authorship networks in three successful Iranian academic research centers, in order to find the association between the scientific productivity and impact indicators with network features in a case study. Methods We searched for English articles of the three research centers. We drew co-authorship maps of each center and calculated social network measures. Results The collaboration networks in centers shared many structural features, including a "star-like" pattern of relations. Centers with more successful scientific profile showed denser and more cooperative networks. Key figures in each center were interviewed for their understandings of the reasons for the emergence of these patterns. Conclusion Star shape network structure and dependency on a single big member is a common feature observed in our case study. Scientific output measures correlate with the network structure of research centers. Network analysis seems a useful method to explore the subtle scientific contexts in research organizations. PMID:18796149

  14. Social Media and the New Academic Environment: Pedagogical Challenges

    ERIC Educational Resources Information Center

    Patrut, Bogdan; Patrut, Monica; Cmeciu, Camelia

    2013-01-01

    As web applications play a vital role in our society, social media has emerged as an important tool in the creation and exchange of user-generated content and social interaction. The benefits of these services have entered in the educational areas to become new means by which scholars communicate, collaborate and teach. Social Media and the New…

  15. Potential Applications of Social Norms Theory to Academic Advising

    ERIC Educational Resources Information Center

    Demetriou, Cynthia

    2005-01-01

    Since the mid-1990s, social norms theory has become prevalent in student development literature and research. Subsequently, social norms interventions to change student behavior have spread across campuses nationwide through marketing campaigns. Theorists and practitioners have applied the social norms approach to primarily health-related student…

  16. Creating Entrepreneurial Networks: Academic Entrepreneurship, Mobility and Collaboration during PhD Education

    ERIC Educational Resources Information Center

    Bienkowska, Dzamila; Klofsten, Magnus

    2012-01-01

    Network-building activities of PhD students are an important area of study in furthering our understanding of academic entrepreneurship. This paper focuses on PhD students' participation in network-building activities defined as mobility and collaboration, as well as own interest in and perceived grade of support for commercialisation from various…

  17. Relationship of Academic, Physical and Social Self-Concepts of Students with Their Academic Achievement

    ERIC Educational Resources Information Center

    Zahra, Asma-Tuz; Arif, Manzoor H.; Yousuf, Muhammad Imran

    2010-01-01

    This study investigated relationship between self-concept and academic achievement of bachelor degree students. Female students at bachelor were considered the target population. A sample of 1500 students was selected by using two stage cluster sampling technique. An amended form of Self-Descriptive Questionnaire developed by Marsh (1985) was used…

  18. Social and Academic Benefits of Looping Primary Grade Students

    ERIC Educational Resources Information Center

    Kenney, Mary Kate

    2007-01-01

    There is an increasing interest in the practice of teachers staying with a group of students for more than one year. This is referred to as looping in educational practice. The problem of constant uncertainty or change of a new teacher year to year, creates less academic time and student anxiety. The purpose of this study is to examine the effects…

  19. Improving Age Appropriate Social Skills To Enhance Academic Performance.

    ERIC Educational Resources Information Center

    Cheek, Lisa; Logan, Karen; Sprecher, Sharon; Streitmatter, Barbara

    This action research project examined the impact of a program for improving age-inappropriate behaviors that interfere with personal and academic progress. A total of 69 students from 3 elementary classrooms and 2 speech therapy groups were involved in the research. The targeted population consisted of fourth and sixth graders; students with…

  20. Academic Learning + Social-Emotional Learning = National Priority

    ERIC Educational Resources Information Center

    Weissberg, Roger P.; Cascarino, Jason

    2013-01-01

    In addition to graduating academically proficient students who are culturally literate, intellectually reflective, and committed to lifelong learning, schools must also enhance students' intrapersonal and interpersonal competencies so they're optimally prepared for work and life. Successful students develop personal strengths including grit,…

  1. Second Language Students' Discourse Socialization in Academic Online Communities

    ERIC Educational Resources Information Center

    Yim, Yoon-kyung Kecia

    2011-01-01

    This article reports an investigation of second language (L2) students' class participation in English-language university courses in two different modes: face-to-face off-line and asynchronous online. The study addressed (1) what characteristics of academic online discourse were created in graduate courses; (2) how students reported their…

  2. Social Capital Theory: Implications for Women's Networking and Learning

    ERIC Educational Resources Information Center

    Alfred, Mary V.

    2009-01-01

    This chapter describes social capital theory as a framework for exploring women's networking and social capital resources. It presents the foundational assumptions of the theory, the benefits and risks of social capital engagement, a feminist critique of social capital, and the role of social capital in adult learning.

  3. Countervailing Social Network Influences on Problem Behaviors among Homeless Youth

    ERIC Educational Resources Information Center

    Rice, Eric; Stein, Judith A.; Milburn, Norweeta

    2008-01-01

    The impact of countervailing social network influences (i.e., pro-social, anti-social or HIV risk peers) on problem behaviors (i.e., HIV drug risk, HIV sex risk or anti-social behaviors) among 696 homeless youth was assessed using structural equation modeling. Results revealed that older youth were less likely to report having pro-social peers and…

  4. Social diffusion and global drift on networks

    NASA Astrophysics Data System (ADS)

    Sayama, Hiroki; Sinatra, Roberta

    2015-03-01

    We study a mathematical model of social diffusion on a symmetric weighted network where individual nodes' states gradually assimilate to local social norms made by their neighbors' average states. Unlike physical diffusion, this process is not state conservational and thus the global state of the network (i.e., sum of node states) will drift. The asymptotic average node state will be the average of initial node states weighted by their strengths. Here we show that, while the global state is not conserved in this process, the inner product of strength and state vectors is conserved instead, and perfect positive correlation between node states and local averages of their self-neighbor strength ratios always results in upward (or at least neutral) global drift. We also show that the strength assortativity negatively affects the speed of homogenization. Based on these findings, we propose an adaptive link weight adjustment method to achieve the highest upward global drift by increasing the strength-state correlation. The effectiveness of the method was confirmed through numerical simulations and implications for real-world social applications are discussed.

  5. 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.

  6. Social Network Theory in Engineering Education

    NASA Astrophysics Data System (ADS)

    Simon, Peter A.

    Collaborative groups are important both in the learning environment of engineering education and, in the real world, the business of engineering design. Selecting appropriate individuals to form an effective group and monitoring a group's progress are important aspects of successful task performance. This exploratory study looked at using the concepts of cognitive social structures, structural balance, and centrality from social network analysis as well as the measures of emotional intelligence. The concepts were used to analyze potential team members to examine if an individual's ability to perceive emotion in others and the self and to use, understand, and manage those emotions are a factor in a group's performance. The students from a capstone design course in computer engineering were used as volunteer subjects. They were formed into groups and assigned a design exercise to determine whether and which of the above-mentioned tools would be effective in both selecting teams and predicting the quality of the resultant design. The results were inconclusive with the exception of an individual's ability to accurately perceive emotions. The instruments that were successful were the Self-Monitoring scale and the accuracy scores derived from cognitive social structures and Level IV of network levels of analysis.

  7. The social adjustment, academic performance, and creativity of Taiwanese children with Tourette's syndrome.

    PubMed

    Wei, Mei-Hue

    2011-06-01

    The purpose was to describe the social adjustment, academic achievement, and creativity of 127 Taiwanese children with Tourette's Syndrome and a control group of 138 Taiwanese children with typical development and reports of the parents of both groups. The Tourette's Syndrome group had significantly more disruptive behaviors than the controls; most parents reported their children with Tourette's Syndrome had high academic achievement although the children scored significantly lower than controls on the Elaboration subtest of Creative Thinking.

  8. Social Networks and Social Support: Implications for Natural Helper and Community Level Interventions.

    ERIC Educational Resources Information Center

    Israel, Barbara A.

    1985-01-01

    Focuses on the linkage between social support and social networks and health educational programs that involve interventions at the network and community level. Addresses programs enhancing entire networks through natural helpers; and programs strengthening overlapping networks/communities through key opinion and informal leaders who are engaged…

  9. Constructing, conducting and interpreting animal social network analysis.

    PubMed

    Farine, Damien R; Whitehead, Hal

    2015-09-01

    1. Animal social networks are descriptions of social structure which, aside from their intrinsic interest for understanding sociality, can have significant bearing across many fields of biology. 2. Network analysis provides a flexible toolbox for testing a broad range of hypotheses, and for describing the social system of species or populations in a quantitative and comparable manner. However, it requires careful consideration of underlying assumptions, in particular differentiating real from observed networks and controlling for inherent biases that are common in social data. 3. We provide a practical guide for using this framework to analyse animal social systems and test hypotheses. First, we discuss key considerations when defining nodes and edges, and when designing methods for collecting data. We discuss different approaches for inferring social networks from these data and displaying them. We then provide an overview of methods for quantifying properties of nodes and networks, as well as for testing hypotheses concerning network structure and network processes. Finally, we provide information about assessing the power and accuracy of an observed network. 4. Alongside this manuscript, we provide appendices containing background information on common programming routines and worked examples of how to perform network analysis using the r programming language. 5. We conclude by discussing some of the major current challenges in social network analysis and interesting future directions. In particular, we highlight the under-exploited potential of experimental manipulations on social networks to address research questions.

  10. Social Networking and the Social and Emotional Wellbeing of Adolescents in Australia

    ERIC Educational Resources Information Center

    Bourgeois, Amanda; Bower, Julie; Carroll, Annemaree

    2014-01-01

    Technology and social networking tools and sites are changing the way young people build and maintain their social connections with others (Boyd & Ellison, 2008). This study utilised a new measure, The Self in a Social Context, Virtual Connectedness subscale (SSC-VC subscale), to examine the effects of social networking tools and sites on…

  11. Help from My "Friends": Social Capital in the Social Network Sites of Low-Income Students

    ERIC Educational Resources Information Center

    Greenhow, Christine; Burton, Lisa

    2011-01-01

    The development of social capital in young people is positively associated with educational attainment, achievement, and psychosocial factors. Prior research has explored factors that contribute to social capital, such as offline social networks. To a lesser extent, studies have analyzed the relationship between online social networks and…

  12. The Changing Nature of Suicide Attacks: A Social Network Perspective

    ERIC Educational Resources Information Center

    Pedahzur, Ami; Perliger, Arie

    2006-01-01

    To comprehend the developments underlying the suicide attacks of recent years, we suggest that the organizational approach, which until recently was used to explain this phenomenon, should be complemented with a social network perspective. By employing a social network analysis of Palestinian suicide networks, the authors found that, in contrast…

  13. Social Networking Adapted for Distributed Scientific Collaboration

    NASA Technical Reports Server (NTRS)

    Karimabadi, Homa

    2012-01-01

    Share is a social networking site with novel, specially designed feature sets to enable simultaneous remote collaboration and sharing of large data sets among scientists. The site will include not only the standard features found on popular consumer-oriented social networking sites such as Facebook and Myspace, but also a number of powerful tools to extend its functionality to a science collaboration site. A Virtual Observatory is a promising technology for making data accessible from various missions and instruments through a Web browser. Sci-Share augments services provided by Virtual Observatories by enabling distributed collaboration and sharing of downloaded and/or processed data among scientists. This will, in turn, increase science returns from NASA missions. Sci-Share also enables better utilization of NASA s high-performance computing resources by providing an easy and central mechanism to access and share large files on users space or those saved on mass storage. The most common means of remote scientific collaboration today remains the trio of e-mail for electronic communication, FTP for file sharing, and personalized Web sites for dissemination of papers and research results. Each of these tools has well-known limitations. Sci-Share transforms the social networking paradigm into a scientific collaboration environment by offering powerful tools for cooperative discourse and digital content sharing. Sci-Share differentiates itself by serving as an online repository for users digital content with the following unique features: a) Sharing of any file type, any size, from anywhere; b) Creation of projects and groups for controlled sharing; c) Module for sharing files on HPC (High Performance Computing) sites; d) Universal accessibility of staged files as embedded links on other sites (e.g. Facebook) and tools (e.g. e-mail); e) Drag-and-drop transfer of large files, replacing awkward e-mail attachments (and file size limitations); f) Enterprise-level data and

  14. Procedural variations in group contingencies: effects on children's academic and social behaviors.

    PubMed

    Speltz, M L; Shimamura, J W; McReynolds, W T

    1982-01-01

    There has been little research on the effects of the many procedural variables in applied group contingencies. In the present study, an individualized contingency and three group contingencies with different "responder" criteria (e.g., reward based on the group average, reward based on the work of a designated, low-achieving student, or reward based on the work of a randomly selected student) were applied to the academic work of primary grade children in a learning disabilities classroom. Group social interaction during each contingency was measured systematically. Although there were large individual differences in students' academic and social responses to the different contingencies, some consistent effects were observed. Two of the four low-achieving target students did their best academic work during the group contingency which focused on their performance as a designated responder. This type of contingency also produced high levels of positive social interaction in three of four groups of children observed.

  15. Transfer of Training: Adding Insight through Social Network Analysis

    ERIC Educational Resources Information Center

    Van den Bossche, Piet; Segers, Mien

    2013-01-01

    This article reviews studies which apply a social network perspective to examine transfer of training. The theory behind social networks focuses on the interpersonal mechanisms and social structures that exist among interacting units such as people within an organization. A premise of this perspective is that individual's behaviors and outcomes…

  16. The Need for a Social Network 2.0

    ERIC Educational Resources Information Center

    Becker, Bernd W.

    2011-01-01

    At the 2011 ALA conference, social media was still a topic of many discussions. For the past few years, librarians have shared their efforts to incorporate social networking applications like Facebook and Twitter as part of library services. Some librarians have taken on the challenge of establishing a social network for their library, while…

  17. Legal Risks for Students Using Social Networking Sites

    ERIC Educational Resources Information Center

    Henderson, Michael; de Zwart, Melissa; Lindsay, David; Phillips, Michael

    2010-01-01

    There are significant privacy, intellectual property, copyright and disclosure risks associated with the ill-considered use of social networking sites, however, the implementation of regulatory actions may also undermine the social and emerging educational utility of social networking sites for young people. Inevitably the burden of dealing with…

  18. Do Social Network Characteristics Predict Mammography Screening Practices?

    ERIC Educational Resources Information Center

    Allen, Jennifer D.; Stoddard, Anne M.; Sorensen, Glorian

    2008-01-01

    Background: Many breast cancer outreach programs assume that dissemination of information through social networks and provision of social support will promote screening. The authors prospectively examined the relationship between social network characteristics and adherence to screening guidelines. Method: Employed women age 40 years and older…

  19. Addressing therapeutic boundaries in social networking.

    PubMed

    Ginory, Almari; Sabatier, Laura Mayol; Eth, Spencer

    2012-01-01

    Facebook is the leading social networking website, with over 500 million users. Prior studies have shown an increasing number of housestaff accessing the site. While Facebook can be used to foster camaraderie, it can also create difficulties in the doctor-patient relationship, especially when boundaries are crossed. This study explored the prevalence of such boundary crossings and offers recommendations for training. An anonymous voluntary survey regarding Facebook use was distributed to current psychiatry residents through the American Psychiatric Association (APA) listserv. Of the 182 respondents, 95.7% had current Facebook profiles, and 9.7% had received friend requests from patients. In addition, 18.7% admitted to viewing patient profiles on Facebook. There is a substantial utilization of Facebook among psychiatric residents as compared with prior studies. Specific guidance regarding social media websites and the potential for ethical difficulties should be offered to trainees.

  20. A model of social network formation under the impact of structural balance

    NASA Astrophysics Data System (ADS)

    Li, Pei; Cheng, Jiajun; Chen, Yingwen; Wang, Hui

    2016-03-01

    Social networks have attracted remarkable attention from both academic and industrial societies and it is of great importance to understand the formation of social networks. However, most existing research cannot be applied directly to investigate social networks, where relationships are heterogeneous and structural balance is a common phenomenon. In this paper, we take both positive and negative relationships into consideration and propose a model to characterize the process of social network formation under the impact of structural balance. In this model, a new node first establishes a link with an existing node and then tries to connect to each of the newly connected node’s neighbors. If a new link is established, the type of this link is determined by structural balance. Then we analyze the degree distribution of the generated network theoretically, and estimate the fractions of positive and negative links. All analysis results are verified by simulations. These results are of importance to understand the formation of social networks, and the model can be easily extended to consider more realistic situations.