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. 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,…

  3. 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,…

  4. 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…

  5. 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…

  6. 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…

  7. 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…

  8. Frameworks for Understanding the Nature of Interactions, Networking, and Community in a Social Networking Site for Academic Practice

    ERIC Educational Resources Information Center

    Conole, Grainne; Galley, Rebecca; Culver, Juliette

    2011-01-01

    This paper describes a new social networking site, Cloudworks, which has been developed to enable discussion and sharing of learning and teaching ideas/designs and to promote reflective academic practice. The site aims to foster new forms of social and participatory practices (peer critiquing, sharing, user-generated content, aggregation, and…

  9. Academic Social Networking Brings Web 2.0 Technologies to the Middle Grades

    ERIC Educational Resources Information Center

    Taranto, Gregory; Dalbon, Melissa; Gaetano, Julie

    2011-01-01

    The middle grades are an exciting time for adolescents to explore, learn, and collaborate with one another (National Middle School Association, 2010). By incorporating an academic social network as part of the classroom experience, collaboration and active learning take on new forms, and a transformation from passive learning to active learning…

  10. Exploring the Impacts of Social Networking Sites on Academic Relations in the University

    ERIC Educational Resources Information Center

    Rambe, Patient

    2011-01-01

    Social networking sites (SNS) affordances for persistent interaction, collective generation of knowledge, and formation of peer-based clusters for knowledge sharing render them useful for developing constructivist knowledge environments. However, notwithstanding their academic value, these environments are not necessarily insulated from the…

  11. 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,…

  12. Relational Networks, Social Trust, and Norms: A Social Capital Perspective on Students' Chances of Academic Success.

    ERIC Educational Resources Information Center

    Goddard, Roger D.

    2003-01-01

    Elaborated a theoretical rationale for relational networks, norms, and trust as structural and functional norms of social capital that facilitate student achievement. Results of hierarchical generalized linear modeling show that the odds of fourth graders passing state-mandated assessments are modestly increased in urban schools (n=49)…

  13. It's Not Just What You Know, It's Who You Know: Testing a Model of the Relative Importance of Social Networks to Academic Performance

    ERIC Educational Resources Information Center

    Rizzuto, Tracey E.; LeDoux, Jared; Hatala, John Paul

    2009-01-01

    Applying three mathematical modeling techniques, this study proposes and tests the fit of an academic performance model, and then estimates the relative importance of four performance predictors: academic ability, performance goal orientation, educational technology use, and social network density. Drawing on social network theory, findings from…

  14. "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…

  15. The Role of Social Networks in the Adjustment and Academic Success of International Students: A Case Study of a University in the Southwest

    ERIC Educational Resources Information Center

    Kisang, Benjamin

    2010-01-01

    This study is a qualitative investigation of the role that social networks play in the adjustment and academic success of international students. With large numbers of international students enrolled on US campuses, it is important for practitioners to prepare, understand and address their dynamic needs. Based on social network, social capital and…

  16. Social Network Sites and Student-Lecturer Communication: An Academic Voice

    ERIC Educational Resources Information Center

    Jones, Joanna; Gaffney-Rhys, Ruth; Jones, Edward

    2011-01-01

    This article presents a synthesis of existing ideas relating to the use of social network sites by faculty within higher education institutions (HEIs) to communicate with the student body. As previous research has been from a student-centric perspective, importantly this study explores the use of social networks for student-faculty communication…

  17. 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…

  18. Social network.

    PubMed

    Shaw, Andrea

    2015-10-01

    The Better Care Exchange is a social network for health and social care professionals that enables information and knowledge sharing on good practice and better integrated care, and the implementation of Better Care Fund plans. PMID:26419571

  19. 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.…

  20. 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…

  1. Gateways among Academic Computer Networks.

    ERIC Educational Resources Information Center

    McCredie, John W.

    National intercampus computer networks are discussed, along with six illustrative networks. Attention is focused on computer networks with significant academic usage through which special software is available to manage resources in the network. It is noted that computer networks have widespread use among academics for communication in the form of…

  2. Social network and addiction.

    PubMed

    La Barbera, Daniele; La Paglia, Filippo; Valsavoia, Rosaria

    2009-01-01

    In recent decades, the rapid development of innovative Internet-based communication technologies created a new field of academic study among scholars. Particularly, the attention of researchers is focusing on new ways to form relationship-thought social web. Social Network sites constitute a new form of web communities, where people meet and share interests and activities. Due to exponential growth of these sites, an increasing number of scholars are beginning to study the emergent phenomena in order to identify any psychopathological risk related to use of social web, such as addiction. This article examines the recent literature about this issue. PMID:19592725

  3. 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…

  4. 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…

  5. "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)…

  6. Connectibles : tangible social networking

    E-print Network

    Kalanithi, Jeevan James

    2007-01-01

    This thesis presents "Connectibles," an instantiation of a tangible social network, a new type of social network application rooted in physical objects and real world social behavior. This research is inspired by social ...

  7. 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…

  8. Recommendation in Social Networks

    E-print Network

    Ester, Martin

    : Recommendation in Social Networks, Tutorial at RecSys 2013 4 Introduction Departed Star Wars Matrix Hurt Locker] · The formation and evolution of social networks is affected by many effects, including ­Self-interest, ­Social

  9. Gateways among Academic Computer Networks.

    ERIC Educational Resources Information Center

    McCredie, John W.

    1984-01-01

    Local area networks for intracampus facilities and national inter-campus networks are discussed. Descriptions of some of these networks (ARPAnet, BITNET, CSNET, EDUNET, MAILNET, RLIN, AND USENET) are provided that illustrate the wide range of academic applications currently available. (Author/MLW)

  10. 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.

  11. Visualization of Social Networks

    NASA Astrophysics Data System (ADS)

    Chen, Ing-Xiang; Yang, Cheng-Zen

    With the ubiquitous characteristic of the Internet, today many online social environments are provided to connect people. Various social relationships are thus created, connected, and migrated from our real lives to the Internet environment from different social groups. Many social communities and relationships are also quickly constructed and connected via instant personal messengers, blogs, Twitter, Facebook, and a great variety of online social services. Since social network visualizations can structure the complex relationships between different groups of individuals or organizations, they are helpful to analyze the social activities and relationships of actors, particularly over a large number of nodes. Therefore, many studies and visualization tools have been investigated to present social networks with graph representations. In this chapter, we will first review the background of social network analysis and visualization methods, and then introduce various novel visualization applications for social networks. Finally, the challenges and the future development of visualizing online social networks are discussed.

  12. DIVISION OF SOCIAL SCIENCES ACADEMIC PERSONNEL

    E-print Network

    California at Santa Cruz, University of

    DIVISION OF SOCIAL SCIENCES ACADEMIC PERSONNEL 2013-14 (July 1, 2013 to June 30, 2014) DEADLINES NON-INSTRUCTIONAL ACADEMIC APPOINTMENT/ REAPPOINTMENTS (Examples of non-instructional titles are Professional Researcher, Specialist, Academic Coordinators, Research Professors, etc.) Files must be submitted

  13. 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…

  14. 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. PMID:25308391

  15. Workshop on Social Media and Academic Freedom

    E-print Network

    Indiana University

    Workshop on Social Media and Academic Freedom Friday, February 20, 2015 3:00--4:30 p.m. Ballantine and economic issues, and environmental concerns. For a growing number of academics, social media offers books, includingGod and War: American Civil Religion Since 1945 and a forthcoming volume on media

  16. Interests Diffusion in Social Networks

    E-print Network

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

    2015-01-01

    Understanding cultural phenomena on Social Networks (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 p...

  17. 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.

  18. Trust Maximization in Social Networks

    NASA Astrophysics Data System (ADS)

    Zhan, Justin; Fang, Xing

    Trust is a human-related phenomenon in social networks. Trust research on social networks has gained much attention on its usefulness, and on modeling propagations. There is little focus on finding maximum trust in social networks which is particularly important when a social network is oriented by certain tasks. In this paper, we propose a trust maximization algorithm based on the task-oriented social networks.

  19. 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…

  20. Academic Youth and Social Revolution.

    ERIC Educational Resources Information Center

    de Jouvenel, Bertrand

    A general wave of student eruptions is taking place in many countries not only because of dissatisfaction with specific institutional practices, but because of a profound and deepening estrangement between academic youth and modern society. Among elements contributing to the growth of a new political movement are much larger student bodies and…

  1. Social Networks and Health.

    PubMed

    Perdiaris, Christos; Chardalias, Konstantinos; Magita, Andrianna; Mechili, Aggelos E; Diomidous, Marianna

    2015-01-01

    Nowadays the social networks have been developed into an advanced communications tool, which is important for all people to contact each other. These specific networks do offer lots of options as well as plenty of advantages and disadvantages. The social websites are many in number and titles, such as the facebook, the twitter, the bandoo etc. One of the most important function-mechanisms for the social network websites, are the marketing tools. The future goal is suggested to be the evolution of these programs. The development of these applications, which is going to lead into a new era for the social digital communication between the internet users, all around the globe. PMID:26153011

  2. 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.

  3. 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. PMID:25800079

  4. Autism, Social Competence, and Academic Performance

    ERIC Educational Resources Information Center

    Schriber Orloff, Susan N.

    2009-01-01

    In this article, a reader is asking for advice regarding her 10-year-old daughter who is having difficulty with her reading and focusing skills and social skills. The author recommends that her daughter should have a full evaluation of her academic skills and potentials inclusive of psychology, speech, and occupational therapy. The author also…

  5. Indiana Academic Standards for Social Studies.

    ERIC Educational Resources Information Center

    Indiana State Dept. of Education, Indianapolis.

    This publication presents Indiana's Academic Standards for K-8 social studies grade-by-grade and organized into five content areas: (1) history; (2) civics and government; (3) geography; (4) economics; and (5) individuals, society, and culture (psychology, sociology, and anthropology). For instructional purposes, the content knowledge should be…

  6. 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.

  7. 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…

  8. 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

  9. Critical social networks

    NASA Astrophysics Data System (ADS)

    Turalska, M.; West, B. J.

    2014-02-01

    Critical social ensembles are generated using a decision making model (DMM) consisting of a master equation, with two-state elements at the nodes of a two-dimensional lattice. The dynamics of the DMM undergo phase transitions to either a consensus state or another state composed of apparently statistically independent individuals as shown in an ensemble of calculations. The critical social ensemble is entailed by the network elements nonlinearly interacting through imperfect social imitation on the backbone of a correlation network. An information entropy measure of the difference between coherent and incoherent configurations in the critical social ensemble is constructed. The entropy indicates a greater probability for the formation of either opposing groups or universal consensus above that of random disagreement.

  10. 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. PMID:19492691

  11. 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.

  12. 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…

  13. 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…

  14. Mining Social Networks for Recommendation

    E-print Network

    Ester, Martin

    Mining Social Networks for Recommendation Mohsen Jamali & Martin Ester Simon Fraser University based Model based Link prediction Distrust Summary Introduction Jamali & Ester: Mining Social Networks based Link prediction Distrust Summary Flood of information · Conventional (industrial / mass) media

  15. 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,…

  16. 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…

  17. Call for Papers Social Network and Social Media Analysis

    E-print Network

    Pratt, Vaughan

    Call for Papers Social Network and Social Media Analysis: Methods, Models an inflection point in the maturation of social network and social media analysis, USA http://snap.stanford.edu/social2012/ Deadline for submissions: Monday

  18. Collaboration in social networks.

    PubMed

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

    2012-03-20

    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

  19. 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.

  20. Characteristics of Small Social Networks

    E-print Network

    Richards, Whitman

    2010-07-27

    Two dozen networks are analyzed using three parameters that attempt to capture important properties of social networks: leadership L, member bonding B, and diversity of expertise D. The first two of these parameters have ...

  1. Detecting Communities in Social Networks

    NASA Astrophysics Data System (ADS)

    Murata, Tsuyoshi

    There are many practical examples of social networks such as friendship networks or co-authorship networks. Detecting dense subnetworks from such networks are important for finding similar people and understanding the structure of factions. This chapter explains the definitions of communities, criteria for evaluating detected communities, methods for community detection, and actual tools for community detection.

  2. 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…

  3. Microbial "social networks"

    PubMed Central

    2015-01-01

    Background It is well understood that distinct communities of bacteria are present at different sites of the body, and that changes in the structure of these communities have strong implications for human health. Yet, challenges remain in understanding the complex interconnections between the bacterial taxa within these microbial communities and how they change during the progression of diseases. Many recent studies attempt to analyze the human microbiome using traditional ecological measures and cataloging differences in bacterial community membership. In this paper, we show how to push metagenomic analyses beyond mundane questions related to the bacterial taxonomic profiles that differentiate one sample from another. Methods We develop tools and techniques that help us to investigate the nature of social interactions in microbial communities, and demonstrate ways of compactly capturing extensive information about these networks and visually conveying them in an effective manner. We define the concept of bacterial "social clubs", which are groups of taxa that tend to appear together in many samples. More importantly, we define the concept of "rival clubs", entire groups that tend to avoid occurring together in many samples. We show how to efficiently compute social clubs and rival clubs and demonstrate their utility with the help of examples including a smokers' dataset and a dataset from the Human Microbiome Project (HMP). Results The tools developed provide a framework for analyzing relationships between bacterial taxa modeled as bacterial co-occurrence networks. The computational techniques also provide a framework for identifying clubs and rival clubs and for studying differences in the microbiomes (and their interactions) of two or more collections of samples. Conclusions Microbial relationships are similar to those found in social networks. In this work, we assume that strong (positive or negative) tendencies to co-occur or co-infect is likely to have biological, physiological, or ecological significance, possibly as a result of cooperation or competition. As a consequence of the analysis, a variety of biological interpretations are conjectured. In the human microbiome context, the pattern of strength of interactions between bacterial taxa is unique to body site. PMID:26576770

  4. Entropy of dynamical social networks

    E-print Network

    Zhao, Kun; Bianconi, Ginestra; 10.1371/journal.pone.0028116

    2012-01-01

    Human dynamical social networks encode information and are highly adaptive. To characterize the information encoded in the fast dynamics of social interactions, here we introduce the entropy of dynamical social networks. By analysing a large dataset of phone-call interactions we show evidence that the dynamical social network has an entropy that depends on the time of the day in a typical week-day. Moreover we show evidence for adaptability of human social behavior showing data on duration of phone-call interactions that significantly deviates from the statistics of duration of face-to-face interactions. This adaptability of behavior corresponds to a different information content of the dynamics of social human interactions. We quantify this information by the use of the entropy of dynamical networks on realistic models of social interactions.

  5. Sensor networks for social networks

    E-print Network

    Farry, Michael P. (Michael Patrick)

    2006-01-01

    This thesis outlines the development of software that makes use of Bayesian belief networks and signal processing techniques to make meaningful inferences about real-world phenomena using data obtained from sensor networks. ...

  6. Academic Identification as a Mediator of the Relationship between Parental Socialization and Academic Achievement

    ERIC Educational Resources Information Center

    Strambler, Michael J.; Linke, Lance H.; Ward, Nadia L.

    2013-01-01

    This study examines whether academic identification, or one's psychological and emotional investment in academics, mediates the association between child-reported parental educational socialization and standardized achievement test scores among a predominantly ethnic minority sample of 367 urban middle school students. We predicted that academic

  7. Social Network Effects on Employment.

    ERIC Educational Resources Information Center

    Wolfe, Alvin W.; Dean, Linda Whiteford

    This is a report of a study investigating the effects and characteristics of a social network on employment by exploring all kinds of relationships centering on one person, including kinship, friendship, association, and clientship. The study focuses on comparisons of social networks associated with 100 jobs of 31 people who graduated from a…

  8. 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…

  9. Quantum social networks

    E-print Network

    Adan Cabello; Lars Eirik Danielsen; Antonio J. Lopez-Tarrida; Jose R. Portillo

    2012-07-15

    We introduce a physical approach to social networks (SNs) in which each actor is characterized by a yes-no test on a physical system. This allows us to consider SNs beyond those originated by interactions based on pre-existing properties, as in a classical SN (CSN). As an example of SNs beyond CSNs, we introduce quantum SNs (QSNs) in which actor is characterized by a test of whether or not the system is in a quantum state. We show that QSNs outperform CSNs for a certain task and some graphs. We identify the simplest of these graphs and show that graphs in which QSNs outperform CSNs are increasingly frequent as the number of vertices increases. We also discuss more general SNs and identify the simplest graphs in which QSNs cannot be outperformed.

  10. 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

  11. Entropy of dynamical social networks

    NASA Astrophysics Data System (ADS)

    Zhao, Kun; Karsai, Marton; Bianconi, Ginestra

    2012-02-01

    Dynamical social networks are evolving rapidly and are highly adaptive. Characterizing the information encoded in social networks is essential to gain insight into the structure, evolution, adaptability and dynamics. Recently entropy measures have been used to quantify the information in email correspondence, static networks and mobility patterns. Nevertheless, we still lack methods to quantify the information encoded in time-varying dynamical social networks. In this talk we present a model to quantify the entropy of dynamical social networks and use this model to analyze the data of phone-call communication. We show evidence that the entropy of the phone-call interaction network changes according to circadian rhythms. Moreover we show that social networks are extremely adaptive and are modified by the use of technologies such as mobile phone communication. Indeed the statistics of duration of phone-call is described by a Weibull distribution and is significantly different from the distribution of duration of face-to-face interactions in a conference. Finally we investigate how much the entropy of dynamical social networks changes in realistic models of phone-call or face-to face interactions characterizing in this way different type human social behavior.

  12. INTERACTING WITH SOCIAL NETWORKS TO IMPROVE HEALTHCARE BODY SENSOR NETWORKS

    E-print Network

    ElAarag, Hala

    INTERACTING WITH SOCIAL NETWORKS TO IMPROVE HEALTHCARE BODY SENSOR NETWORKS by DAVID BAUSCHLICHER ................................................. 19 Figure 4: Methods of Social Interaction interaction. In this paper, we propose to integrate social networks and BSNs to establish a community

  13. 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.

  14. 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.

  15. Centrality measures in social networks

    NASA Astrophysics Data System (ADS)

    Moreau, Michele

    Complex networks represent an extensive variety of systems in nature and human interactions. Networks are graphs that describe the structures of interacting systems and give substantial information about the patterns of connections between the nodes in a particular system. In turn, knowing about the structure of networks and their arrangements enables one to make certain types of predictions about their behavior. With that larger motivation, this thesis research emphasizes different measurement metrics such as degree distribution, assortativity and clustering coefficients, transitivity, modularity, network diameter, and the average path length to associate the configurations of the different networks to determine certain types of behavior. The main focus of this thesis is on social networks, where the assortative patterns of social networks were identified. The various parameters used in the study of the networks were calculated and defined using the software packages Networkx and Gephi. The different types of networks are from the Stanford Network Analysis Project (SNAP) website. In particular, the focus is on using the numerical values of the coefficients to infer differences in the forms of contact in different social networks. The ability to do so has implications for detecting preferences when it comes to the relations between groups of people in social networks. As a result of social networks displaying assortative behaviors, the data indicates that these networks could also project some traits of 'narrow-mindedness' due to the formation of different clusters. Another significant repercussion of this research is the ability of a community to thrive successfully based on the interactions of the people with one another.

  16. 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…

  17. 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.…

  18. 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.

  19. Social networking in vehicles

    E-print Network

    Liang, Philip Angus

    2006-01-01

    In-vehicle, location-aware, socially aware telematic systems, known as Flossers, stand to revolutionize vehicles, and how their drivers interact with their physical and social worlds. With Flossers, users can broadcast and ...

  20. Severity of Academic Achievement and Social Skills Deficits

    ERIC Educational Resources Information Center

    Bloom, Elana L.; Karagiannakis, Anastasia; Toste, Jessica R.; Heath, Nancy L.; Konstantinopoulos, Effie

    2007-01-01

    This study explored the differences in the rated social skills of elementary-aged students at-risk for emotional/behavioural disorders (E/BD) based on severity of academic difficulties. Teachers nominated students at-risk for E/BD who were classified into four groups of academic difficulty based on the Wide Range Achievement Test-3. Students,…

  1. 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…

  2. Social and Academic Environments of Black Students on White Campuses.

    ERIC Educational Resources Information Center

    Smith, Donald H.

    1981-01-01

    Analyses the effects of the social and academic environments at White campuses on Black students' persistance toward graduation and personal development. Offers several recommendations to facilitate greater acceptance and success of Blacks at predominantly White institutions. (APM)

  3. An algorithmic approach to social networks

    E-print Network

    Liben-Nowell, David

    2005-01-01

    Social networks consist of a set of individuals and some form of social relationship that ties the individuals together. In this thesis, we use algorithmic techniques to study three aspects of social networks: (1) we analyze ...

  4. 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…

  5. Evolution and Future Issues for an Academic Network in Palestine

    E-print Network

    Farrell, Paul A.

    Evolution and Future Issues for an Academic Network in Palestine Adrienne Dockrell Yaser Doleh Paul for an Academic Network in Palestine Adrienne Dockrell Yaser Doleh Paul A. Farrell Peaceworkers Dept involved in networking and communications in Palestine and the Middle East region. The study was sponsored

  6. 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…

  7. 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…

  8. Vaccines, Contagion, and Social Networks

    E-print Network

    Ogburn, Elizabeth L

    2014-01-01

    Consider the causal effect that one individual's treatment may have on another individual's outcome when the outcome is contagious, with specific application to the effect of vaccination on an infectious disease outcome. The effect of one individual's vaccination on another's outcome can be decomposed into two different causal effects, called the "infectiousness" and "contagion" effects. We present identifying assumptions and estimation or testing procedures for infectiousness and contagion effects in two different settings: (1) using data sampled from independent groups of observations, and (2) using data collected from a single interdependent social network. The methods that we propose for social network data require fitting generalized linear models (GLMs). GLMs and other statistical models that require independence across subjects have been used widely to estimate causal effects in social network data, but, because the subjects in networks are presumably not independent, the use of such models is generall...

  9. Interactive Sensing in Social Networks

    E-print Network

    Krishnamurthy, Vikram

    2013-01-01

    This paper presents models and algorithms for interactive sensing in social networks where individuals act as sensors and the information exchange between individuals is exploited to optimize sensing. Social learning is used to model the interaction between individuals that aim to estimate an underlying state of nature. In this context the following questions are addressed: How can self-interested agents that interact via social learning achieve a tradeoff between individual privacy and reputation of the social group? How can protocols be designed to prevent data incest in online reputation blogs where individuals make recommendations? How can sensing by individuals that interact with each other be used by a global decision maker to detect changes in the underlying state of nature? When individual agents possess limited sensing, computation and communication capabilities, can a network of agents achieve sophisticated global behavior? Social and game theoretic learning are natural settings for addressing these...

  10. 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.

  11. Social networks and the Semantic Web

    E-print Network

    Baeza-Yates, Ricardo

    Social networks and the Semantic Web Peter Mika Business Informatics group Dept. of Computer technology for the social sciences Social network mining from the Web Semantics-based data management Browsing and visualization Case study Network Analysis of Semantic Web research 2. Network Analysis

  12. 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

  13. 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. PMID:18322572

  14. 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…

  15. Role Identification of Social Networkers

    E-print Network

    Zygmunt, Anna

    2015-01-01

    A social network consists of a set of actors and a set of relationships between them which describe certain patterns of communication. Most current networks are huge and difficult to analyze and visualize. One of the methods frequently used is to extract the most important features, namely to create a certain abstraction, that is the transformation of a large network to a much smaller one, so the latter is a useful summary of the original one, still keeping the most important characteristics. In the case of a social network it can be achieved in two ways. One is to find groups of actors and present only them and relationships between them. The other is to find actors who play similar roles and to construct a smaller network in which the connection between the actors would be replaced with connections between the roles. Classifying actors by the roles they are playing in the network can help to understand 'who is who' in a social network. This classification can be very useful, because it gives us a comprehens...

  16. Emotional intelligence, personality, social networks, and social perception 

    E-print Network

    DeBusk, Kendra Portia Adrienne Howard

    -being, such as social network quality. In order to examine how EI related to social networks, both trait and ability EI were measured along with the Big Five factors of personality and social network quality and size. A study of 268 participants investigated...

  17. 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 emotional…

  18. Skeleton of weighted social network

    NASA Astrophysics Data System (ADS)

    Zhang, X.; Zhu, J.

    2013-03-01

    In the literature of social networks, understanding topological structure is an important scientific issue. In this paper, we construct a network from mobile phone call records and use the cumulative number of calls as a measure of the weight of a social tie. We extract skeletons from the weighted social network on the basis of the weights of ties, and we study their properties. We find that strong ties can support the skeleton in the network by studying the percolation characters. We explore the centrality of w-skeletons based on the correlation between some centrality measures and the skeleton index w of a vertex, and we find that the average centrality of a w-skeleton increases as w increases. We also study the cumulative degree distribution of the successive w-skeletons and find that as w increases, the w-skeleton tends to become more self-similar. Furthermore, fractal characteristics appear in higher w-skeletons. We also explore the global information diffusion efficiency of w-skeletons using simulations, from which we can see that the ties in the high w-skeletons play important roles in information diffusion. Identifying such a simple structure of a w-skeleton is a step forward toward understanding and representing the topological structure of weighted social networks.

  19. Online Social Network Sites and the Concept of Social Capital

    E-print Network

    Steinfield, Charles

    Online Social Network Sites and the Concept of Social Capital Charles Steinfield, Nicole of online social network sites has grown dramatically, now rivaling search engines as the most visited boasts more than 400 million active users around the world (Facebook Press Room, 2010), online social

  20. Topological evolution of virtual social networks by modeling social activities

    NASA Astrophysics Data System (ADS)

    Sun, Xin; Dong, Junyu; Tang, Ruichun; Xu, Mantao; Qi, Lin; Cai, Yang

    2015-09-01

    With the development of Internet and wireless communication, virtual social networks are becoming increasingly important in the formation of nowadays' social communities. Topological evolution model is foundational and critical for social network related researches. Up to present most of the related research experiments are carried out on artificial networks, however, a study of incorporating the actual social activities into the network topology model is ignored. This paper first formalizes two mathematical abstract concepts of hobbies search and friend recommendation to model the social actions people exhibit. Then a social activities based topology evolution simulation model is developed to satisfy some well-known properties that have been discovered in real-world social networks. Empirical results show that the proposed topology evolution model has embraced several key network topological properties of concern, which can be envisioned as signatures of real social networks.

  1. 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…

  2. 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…

  3. 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…

  4. Socially Aware Heterogeneous Wireless Networks.

    PubMed

    Kosmides, Pavlos; Adamopoulou, Evgenia; Demestichas, Konstantinos; Theologou, Michael; Anagnostou, Miltiades; Rouskas, Angelos

    2015-01-01

    The development of smart cities has been the epicentre of many researchers' efforts during the past decade. One of the key requirements for smart city networks is mobility and this is the reason stable, reliable and high-quality wireless communications are needed in order to connect people and devices. Most research efforts so far, have used different kinds of wireless and sensor networks, making interoperability rather difficult to accomplish in smart cities. One common solution proposed in the recent literature is the use of software defined networks (SDNs), in order to enhance interoperability among the various heterogeneous wireless networks. In addition, SDNs can take advantage of the data retrieved from available sensors and use them as part of the intelligent decision making process contacted during the resource allocation procedure. In this paper, we propose an architecture combining heterogeneous wireless networks with social networks using SDNs. Specifically, we exploit the information retrieved from location based social networks regarding users' locations and we attempt to predict areas that will be crowded by using specially-designed machine learning techniques. By recognizing possible crowded areas, we can provide mobile operators with recommendations about areas requiring datacell activation or deactivation. PMID:26110402

  5. Socially Aware Heterogeneous Wireless Networks

    PubMed Central

    Kosmides, Pavlos; Adamopoulou, Evgenia; Demestichas, Konstantinos; Theologou, Michael; Anagnostou, Miltiades; Rouskas, Angelos

    2015-01-01

    The development of smart cities has been the epicentre of many researchers’ efforts during the past decade. One of the key requirements for smart city networks is mobility and this is the reason stable, reliable and high-quality wireless communications are needed in order to connect people and devices. Most research efforts so far, have used different kinds of wireless and sensor networks, making interoperability rather difficult to accomplish in smart cities. One common solution proposed in the recent literature is the use of software defined networks (SDNs), in order to enhance interoperability among the various heterogeneous wireless networks. In addition, SDNs can take advantage of the data retrieved from available sensors and use them as part of the intelligent decision making process contacted during the resource allocation procedure. In this paper, we propose an architecture combining heterogeneous wireless networks with social networks using SDNs. Specifically, we exploit the information retrieved from location based social networks regarding users’ locations and we attempt to predict areas that will be crowded by using specially-designed machine learning techniques. By recognizing possible crowded areas, we can provide mobile operators with recommendations about areas requiring datacell activation or deactivation. PMID:26110402

  6. Mining Social Networks for Personalized Email Prioritization

    E-print Network

    Murphy, Robert F.

    Mining Social Networks for Personalized Email Prioritization Shinjae Yoo§ , Yiming Yang§ , Frank]: Pattern Recognition--Applications General Terms Algorithms, Experimentation, Security, Human Factors, and Languages. Keywords Email Prioritization, Social Network, and Text Mining. 1. INTRODUCTION Email is one

  7. Activity based interfaces in online social networks

    E-print Network

    Laraqui, Jawad

    2007-01-01

    The goal of the project is to explore how activity-based interfaces can create more meaningful experiences for the users and builders of online social networking sites. Medina, a social-networking site based on the idea ...

  8. 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.

  9. 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…

  10. 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…

  11. 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.

  12. International Doctoral Students: Relationships between Engagement in Academic-Social Activities and Self-Perceived Academic Gains

    E-print Network

    Akobirova, Zamira

    2011-12-31

    The purpose of this study was to examine the extent to which international doctoral students in six research universities engage in academic and social activities and how this engagement is related to their academic gains as measured...

  13. 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…

  14. 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…

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

    E-print Network

    Gu, Yu

    2012-01-01

    and "objectivity" claimed by the science community and theThe science question in feminism is about objectivity asobjectivity and neutrality claimed by traditional knowledge production in natural and social sciences.

  16. Graph pattern matching on social network analysis 

    E-print Network

    Wang, Xin

    2013-11-28

    Graph pattern matching is fundamental to social network analysis. Its effectiveness for identifying social communities and social positions, making recommendations and so on has been repeatedly demonstrated. However, the ...

  17. 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…

  18. Social Rewards and Social Networks in the Human Brain.

    PubMed

    Fareri, Dominic S; Delgado, Mauricio R

    2014-02-21

    The rapid development of social media and social networking sites in human society within the past decade has brought about an increased focus on the value of social relationships and being connected with others. Research suggests that we pursue socially valued or rewarding outcomes-approval, acceptance, reciprocity-as a means toward learning about others and fulfilling social needs of forming meaningful relationships. Focusing largely on recent advances in the human neuroimaging literature, we review findings highlighting the neural circuitry and processes that underlie pursuit of valued rewarding outcomes across non-social and social domains. We additionally discuss emerging human neuroimaging evidence supporting the idea that social rewards provide a gateway to establishing relationships and forming social networks. Characterizing the link between social network, brain, and behavior can potentially identify contributing factors to maladaptive influences on decision making within social situations. PMID:24561513

  19. Social Butterfly: Social Caches for Distributed Social Networks Lu Han, Badri Nath, Liviu Iftode, S. Muthukrishnan

    E-print Network

    Iftode, Liviu

    Social Butterfly: Social Caches for Distributed Social Networks Lu Han, Badri Nath, Liviu Iftode, S, muthu}@cs.rutgers.edu Abstract--A distributed architecture for implementing online social networks (OSNs) can overcome several disadvantages of the now popular centralized online social networks

  20. 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

  1. Statistical Properties of Social Networks

    NASA Astrophysics Data System (ADS)

    McGlohon, Mary; Akoglu, Leman; Faloutsos, Christos

    In this chapter we describe patterns that occur in the structure of social networks, represented as graphs. We describe two main classes of properties, static properties, or properties describing the structure of snapshots of graphs; and dynamic properties, properties describing how the structure evolves over time. These properties may be for unweighted or weighted graphs, where weights may represent multi-edges (e.g. multiple phone calls from one person to another), or edge weights (e.g. monetary amounts between a donor and a recipient in a political donation network).

  2. 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. PMID:24001298

  3. 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.…

  4. 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…

  5. 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)…

  6. 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…

  7. Transfer Student Engagement: Blurring of Social and Academic Engagement

    ERIC Educational Resources Information Center

    Lester, Jaime; Leonard, Jeannie Brown; Mathias, David

    2013-01-01

    Transfer students are a distinct population. Their characteristics lead to a qualitatively different student experience. Drawing on interviews with a cross-sectional sample of transfer students at George Mason University (GMU), this study focused on the ways transfer students perceived their social and academic engagement, on the ways they engaged…

  8. Integration of Social, Behavioral, and Academic Initiatives--Part 1

    ERIC Educational Resources Information Center

    Bohanon, Hank; Wu, Meng-Jia

    2012-01-01

    Many schools are working toward improving their overall social and behavioral climate. This endeavor is undertaken for its own sake, and in the anticipation that it will improve academic performance for students. There appear to be at least three predominant school-wide approaches to frame improving school climate: (1) positive behavior…

  9. An Anonymous Social Network of Opinions

    E-print Network

    Haralabopoulos, Giannis

    2015-01-01

    Research interest on Online Social Networks, has increased dramatically over the last decade, mainly because online networks provide a vast source of social information. Graph structure, user connections, growth, information exposure and diffusion of online social networks, are some of the most frequently researched subjects. However, some areas of these networks are overlooked or even unconsidered, such as anonymity, equality and bias. In the limited bibliography available, such features seem to be influential to social interactions. Based on an extensive thinking of these studies, we aim to determine how universal anonymity affects: bias, user equality, information propagation, sharing and exposure, connection establishment and network structure. Thus we propose a new Anonymous Online Social Network, which will facilitate every type of monitoring and data analysis. A network that will provide an insight to our scientific pursues, which would be impossible to research in traditional Online Social Networks.

  10. 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…

  11. 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…

  12. 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.

  13. 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…

  14. Academic Achievement and Adolescents' Daily Time Use in the Social and Academic Domains

    ERIC Educational Resources Information Center

    Witkow, Melissa R.

    2009-01-01

    The present study used the daily diary method to investigate the role of achievement in adolescents' patterns of time use in the academic and social domains. A diverse sample of over 700 ninth grade students completed three-page checklists every night for 14 consecutive nights, providing information on their time use for the day. As hypothesized,…

  15. 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…

  16. Social Media Bootcamp for CTSI K Scholars: "Academic/Research Blogging & Social Media to Amplify Your Work"

    E-print Network

    Mullins, Dyche

    Social Media Bootcamp for CTSI K Scholars: "Academic/Research Blogging & Social Media to Amplify Your Work://www.facebook.com/GeriPal Helpful Links: Scientist's Guide to Social Media - http://bit.ly/1kJTqpJ http

  17. 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 and…

  18. Privacy in Social Networks: A Survey

    NASA Astrophysics Data System (ADS)

    Zheleva, Elena; Getoor, Lise

    In this chapter, we survey the literature on privacy in social networks. We focus both on online social networks and online affiliation networks. We formally define the possible privacy breaches and describe the privacy attacks that have been studied. We present definitions of privacy in the context of anonymization together with existing anonymization techniques.

  19. THE COHESIVENESS OF BLOCKS IN SOCIAL NETWORKS

    E-print Network

    White, Douglas R.

    7 THE COHESIVENESS OF BLOCKS IN SOCIAL NETWORKS: NODE CONNECTIVITY AND CONDITIONAL DENSITY Douglas patterns of network ties into substantive hypotheses about social cohesion. If network cohesion is enhanced cohesion. The cohesiveness of a group is also measured by the extent to which it is not disconnected

  20. Bayesian Networks for Social Modeling

    NASA Astrophysics Data System (ADS)

    Whitney, Paul; White, Amanda; Walsh, Stephen; Dalton, Angela; Brothers, Alan

    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. 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) the ability to empirically critique the model, and potentially evaluate competing models for a social/behavioral phenomenon.

  1. 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. PMID:20064530

  2. Disconnected! The parallel streams of network literature in the natural and social sciences

    E-print Network

    Hidalgo, Cesar A

    2015-01-01

    During decades the study of networks has been divided between the efforts of social scientists and natural scientists, two groups of scholars who often do not see eye to eye. In this review I present an effort to mutually translate the work conducted by scholars from both of these academic fronts hoping to unify what has become a diverging body of literature. I argue that social and natural scientists fail to see eye to eye because they have diverging academic goals. Social scientists focus on explaining how context specific social and economic mechanisms drive the structure of networks and on how networks shape social and economic outcomes. By contrast, natural scientists focus primarily on searching and modeling network characteristics that are independent of context, since their focus is to identify universal characteristics of systems that are independent of context, instead of context specific mechanisms. In the following pages I will discuss the differences between both of these literatures by summarizi...

  3. Opinion Dynamics and Learning in Social Networks

    E-print Network

    Acemoglu, Daron

    2012-08-30

    We provide an overview of recent research on belief and opinion dynamics in social networks. We discuss both Bayesian and non-Bayesian models of social learning and focus on the implications of the form of learning (e.g., ...

  4. The Social Side of Information Networking.

    ERIC Educational Resources Information Center

    Katz, James E.

    1997-01-01

    Explores the social issues, including manners, security, crime (fraud), and social control associated with information networking, with emphasis on the Internet. Also addresses the influence of cellular phones, the Internet and other information technologies on society. (GR)

  5. 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.

  6. NetworkingOpportunitiesthroughSocial Media Judy James,

    E-print Network

    Privacy Vunerability · Its for kids · Identity theft · distracton ProfessionalNetworkingthrough SocialMediaNetworkingOpportunitiesthroughSocial Media Judy James, Employee Career Services jjames@uga.edu, 706 presence on social media · What social media do you use? · What would you like to do professionally

  7. Essays on social networks in development economics

    E-print Network

    Chandrasekhar, Arun Gautham

    2012-01-01

    This thesis examines the role that social networks play in developing economies. The first two chapters analyze econometric issues that arise when researchers work with sampled network data. The final two chapters study ...

  8. 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…

  9. Service-Learning Project in a First-Year Seminar: A Social Network Analysis

    ERIC Educational Resources Information Center

    Teymuroglu, Zeynep

    2013-01-01

    Understanding the effects of a service-learning component on the classroom culture, socially and academically, brings a novel perspective to designing, executing, and assessing these types of active-learning projects. This paper evaluates the success of a service-learning project from a perspective of social networks by investigating the question:…

  10. 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…

  11. 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…

  12. 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

  13. Neighbor Query Friendly Compression of Social Networks Hossein Maserrat

    E-print Network

    Pei, Jian

    substantially facilitate mining and advanced analysis of large social networks. Preferably, social networks, facilitated by World Wide Web, more and more online social networks have been formed on the Web and analyzing large social networks. Compressing social networks can substantially facilitate mining

  14. Estimating the size of online social networks 1 Estimating the Size of Online Social Networks

    E-print Network

    Cortes, Corinna

    Estimating the size of online social networks 1 Estimating the Size of Online Social Networks Davis, CA 95616, USA Email: wu@cs.ucdavis.edu Abstract: The huge size of online social networks (OSNs the estimator. In our experiments it is 70 times faster than the naive linear probing algorithm. The second

  15. 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. PMID:24102569

  16. 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. PMID:24491157

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

    PubMed

    Tamura, Kohei; Kobayashi, Yutaka; Ihara, Yasuo

    2015-03-01

    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

  18. Online Games, Virtual Worlds, and Social Networks

    E-print Network

    Walker, Lawrence R.

    JOUR 447: Online Games, Virtual Worlds, and Social Networks Virtual Island Making #12;One element how to use the game engine, Unity3D. Following the same instructions, each student creatively designed in the look and design of the virtual islands. JOUR 447: Online Games, Virtual Worlds, and Social Networks

  19. 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…

  20. 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…

  1. The complex structure of huntergatherer social networks

    E-print Network

    Brown, James H.

    The complex structure of hunter­gatherer social networks Marcus J. Hamilton1,*, Bruce T. Milne2 hunter-gatherer societies show similar structural properties. We use fractal network theory to analyse the statistical structure of 1189 social groups in 339 hunter-gatherer societies from a published compilation

  2. Vizster: Visualizing Online Social Networks Jeffrey Heer

    E-print Network

    Agrawala, Maneesh

    , and online dating services. In 2003, another form of online community acquired stunning popularity: onlineVizster: Visualizing Online Social Networks Jeffrey Heer Computer Science Division University, Berkeley ABSTRACT Recent years have witnessed the dramatic popularity of online social networking services

  3. Changes in Social Networks Following Marital Separation.

    ERIC Educational Resources Information Center

    Rands, Marylyn

    Divorce changes not only the spousal relationship, but other associations as well. To study the changes in the social networks of recently divorced individuals, 40 adults (20 males, 20 females) participated in structured interviews. During the interview, data were collected on respondents' social networks and on their psychological well-being…

  4. 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…

  5. Models of social networks based on social distance attachment

    NASA Astrophysics Data System (ADS)

    Boguñá, Marián; Pastor-Satorras, Romualdo; Díaz-Guilera, Albert; Arenas, Alex

    2004-11-01

    We propose a class of models of social network formation based on a mathematical abstraction of the concept of social distance. Social distance attachment is represented by the tendency of peers to establish acquaintances via a decreasing function of the relative distance in a representative social space. We derive analytical results (corroborated by extensive numerical simulations), showing that the model reproduces the main statistical characteristics of real social networks: large clustering coefficient, positive degree correlations, and the emergence of a hierarchy of communities. The model is confronted with the social network formed by people that shares confidential information using the Pretty Good Privacy (PGP) encryption algorithm, the so-called web of trust of PGP.

  6. Dynamics of deceptive interactions in social networks

    E-print Network

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

    2015-01-01

    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 behaviou...

  7. Happiness is assortative in online social networks

    E-print Network

    Bollen, Johan; Ruan, Guangchen; Mao, Huina

    2011-01-01

    Social networks tend to disproportionally favor connections between individuals with either similar or dissimilar characteristics. This propensity, referred to as assortative mixing or homophily, is expressed as the correlation between attribute values of nearest neighbour vertices in a graph. Recent results indicate that beyond demographic features such as age, sex and race, even psychological states such as "loneliness" can be assortative in a social network. 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 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. To our knowledge this is the first result that shows assortative mixing in online net...

  8. 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.

  9. 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. PMID:18599659

  10. 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. PMID:25003525

  11. 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

  12. Multilayer weighted social network model.

    PubMed

    Murase, Yohsuke; Török, János; Jo, Hang-Hyun; Kaski, Kimmo; Kertész, János

    2014-11-01

    Recent empirical studies using large-scale data sets have validated the Granovetter hypothesis on the structure of the society in that there are strongly wired communities connected by weak ties. However, as interaction between individuals takes place in diverse contexts, these communities turn out to be overlapping. This implies that the society has a multilayered structure, where the layers represent the different contexts. To model this structure we begin with a single-layer weighted social network (WSN) model showing the Granovetterian structure. We find that when merging such WSN models, a sufficient amount of interlayer correlation is needed to maintain the relationship between topology and link weights, while these correlations destroy the enhancement in the community overlap due to multiple layers. To resolve this, we devise a geographic multilayer WSN model, where the indirect interlayer correlations due to the geographic constraints of individuals enhance the overlaps between the communities and, at the same time, the Granovetterian structure is preserved. PMID:25493837

  13. Multilayer weighted social network model

    NASA Astrophysics Data System (ADS)

    Murase, Yohsuke; Török, János; Jo, Hang-Hyun; Kaski, Kimmo; Kertész, János

    2014-11-01

    Recent empirical studies using large-scale data sets have validated the Granovetter hypothesis on the structure of the society in that there are strongly wired communities connected by weak ties. However, as interaction between individuals takes place in diverse contexts, these communities turn out to be overlapping. This implies that the society has a multilayered structure, where the layers represent the different contexts. To model this structure we begin with a single-layer weighted social network (WSN) model showing the Granovetterian structure. We find that when merging such WSN models, a sufficient amount of interlayer correlation is needed to maintain the relationship between topology and link weights, while these correlations destroy the enhancement in the community overlap due to multiple layers. To resolve this, we devise a geographic multilayer WSN model, where the indirect interlayer correlations due to the geographic constraints of individuals enhance the overlaps between the communities and, at the same time, the Granovetterian structure is preserved.

  14. 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.

  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 the middle school level, in all disciplines, and containing service of a longer duration and intensity.

  16. 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

  17. 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.

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

    PubMed

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

    2015-12-01

    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. PMID:26263036

  19. Gemstone: Empowering Decentralized Social Networking with High Data Availability

    E-print Network

    Fu, Xiaoming

    Gemstone: Empowering Decentralized Social Networking with High Data Availability Florian Tegeler data availability even when some users are offline. In this paper we present Gemstone, a social network

  20. 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

  1. Benford's Law Applies To Online Social Networks

    E-print Network

    Golbeck, Jennifer

    2015-01-01

    Benford's Law states that the frequency of first digits of numbers in naturally occurring systems is not evenly distributed. Numbers beginning with a 1 occur roughly 30\\% of the time, and are six times more common than numbers beginning with a 9. We show that Benford's Law applies to social and behavioral features of users in online social networks. We consider social data from five major social networks: Facebook, Twitter, Google Plus, Pinterest, and Live Journal. We show that the distribution of first significant digits of friend and follower counts for users in these systems follow Benford's Law. The same holds for the number of posts users make. We extend this to egocentric networks, showing that friend counts among the people in an individual's social network also follow the expected distribution. We discuss how this can be used to detect suspicious or fraudulent activity online and to validate datasets.

  2. 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 media tools lead also to innovations in service, and with fairly rapid returns on investment? How should such return on investment be articulated and translated to academic best practice? What are the best avenues for motivating institutional support, including incentives and rewards for such practice?

  3. Analysis of Social Networks by Tensor Decomposition

    NASA Astrophysics Data System (ADS)

    Sizov, Sergej; Staab, Steffen; Franz, Thomas

    The Social Web fosters novel applications targeting a more efficient and satisfying user guidance in modern social networks, e.g., for identifying thematically focused communities, or finding users with similar interests. Large scale and high diversity of users in social networks poses the challenging question of appropriate relevance/authority ranking, for producing fine-grained and rich descriptions of available partners, e.g., to guide the user along most promising groups of interest. Existing methods for graph-based authority ranking lack support for fine-grained latent coherence between user relations and content (i.e., support for edge semantics in graph-based social network models). We present TweetRank, a novel approach for faceted authority ranking in the context of social networks. TweetRank captures the additional latent semantics of social networks by means of statistical methods in order to produce richer descriptions of user relations. We model the social network by a 3-dimensional tensor that enables the seamless representation of arbitrary semantic relations. For the analysis of that model, we apply the PARAFAC decomposition, which can be seen as a multi-modal counterpart to common Web authority ranking with HITS. The result are groupings of users and terms, characterized by authority and navigational (hub) scores with respect to the identified latent topics. Sample experiments with life data of the Twitter community demonstrate the ability of TweetRank to produce richer and more comprehensive contact recommendations than other existing methods for social authority ranking.

  4. 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

  5. Temporal fidelity in dynamic social networks

    NASA Astrophysics Data System (ADS)

    Stopczynski, Arkadiusz; Sapiezynski, Piotr; Pentland, Alex `Sandy'; Lehmann, Sune

    2015-10-01

    It has recently become possible to record detailed social interactions in large social systems with high resolution. As we study these datasets, human social interactions display patterns that emerge at multiple time scales, from minutes to months. On a fundamental level, understanding of the network dynamics can be used to inform the process of measuring social networks. The details of measurement are of particular importance when considering dynamic processes where minute-to-minute details are important, because collection of physical proximity interactions with high temporal resolution is difficult and expensive. Here, we consider the dynamic network of proximity-interactions between approximately 500 individuals participating in the Copenhagen Networks Study. We show that in order to accurately model spreading processes in the network, the dynamic processes that occur on the order of minutes are essential and must be included in the analysis.

  6. Temporal Fidelity in Dynamic Social Networks

    E-print Network

    Stopczynski, Arkadiusz; Pentland, Alex 'Sandy'; Lehmann, Sune

    2015-01-01

    It has recently become possible to record detailed social interactions in large social systems with high resolution. As we study these datasets, human social interactions display patterns that emerge at multiple time scales, from minutes to months. On a fundamental level, an understanding of the network dynamics can be used to inform the process of measuring social networks. The details of measurement are of particular importance when considering dynamic processes where minute-to-minute details are important, because collection of physical proximity interactions with high temporal resolution is difficult and expensive. Here, we consider the dynamic network of proximity-interactions between approximately 500 individuals participating in the Copenhagen Networks Study. We show that in order to accurately model spreading processes on the network, the dynamic processes that occur on the order of minutes are essential and must be included in the analysis.

  7. POLITICAL ECONOMY & SOCIAL MOVEMENTS http://academic.evergreen.edu/curricular/PESM

    E-print Network

    provisions on freedom, civility, rights, prohibition against discrimination, intellectual honesty, and otherPOLITICAL ECONOMY & SOCIAL MOVEMENTS http://academic.evergreen.edu/curricular/PESM Fall 2006 ...the

  8. 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…

  9. 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.

  10. 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…

  11. Data Leak Aware Crowdsourcing in Social Network

    E-print Network

    Amor, Iheb Ben; Ouziri, Mourad; Benbernou, Salima; Nadif, Mohamed

    2013-01-01

    Harnessing human computation for solving complex problems call spawns the issue of finding the unknown competitive group of solvers. In this paper, we propose an approach called Friendlysourcing to build up teams from social network answering a business call, all the while avoiding partial solution disclosure to competitive groups. The contributions of this paper include (i) a clustering based approach for discovering collaborative and competitive team in social network (ii) a Markov-chain based algorithm for discovering implicit interactions in the social network.

  12. 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…

  13. Mobilizing Ideas in Knowledge Networks: A Social Network Analysis of the Human Resource Management Community 1990-2005

    ERIC Educational Resources Information Center

    Henneberg, Stephan C.; Swart, Juani; Naude, Peter; Jiang, Zhizhong; Mouzas, Stefanos

    2009-01-01

    Purpose: The purpose of this paper is to show the role of social networks in mobilizing how actors both impact and are impacted on by their colleagues. It seeks to compare the human resource management (HRM) academic community with two other comparable communities, and to identify those groups that are seen to work closely together.…

  14. Network DEA: an application to analysis of academic performance

    NASA Astrophysics Data System (ADS)

    Saniee Monfared, Mohammad Ali; Safi, Mahsa

    2013-05-01

    As governmental subsidies to universities are declining in recent years, sustaining excellence in academic performance and more efficient use of resources have become important issues for university stakeholders. To assess the academic performances and the utilization of the resources, two important issues need to be addressed, i.e., a capable methodology and a set of good performance indicators as we consider in this paper. In this paper, we propose a set of performance indicators to enable efficiency analysis of academic activities and apply a novel network DEA structure to account for subfunctional efficiencies such as teaching quality, research productivity, as well as the overall efficiency. We tested our approach on the efficiency analysis of academic colleges at Alzahra University in Iran.

  15. 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.

  16. 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…

  17. Geographies of an Online Social Network.

    PubMed

    Lengyel, Balázs; Varga, Attila; Ságvári, Bence; Jakobi, Ákos; Kertész, János

    2015-01-01

    How is online social media activity structured in the geographical space? Recent studies have shown that in spite of earlier visions about the "death of distance", physical proximity is still a major factor in social tie formation and maintenance in virtual social networks. Yet, it is unclear, what are the characteristics of the distance dependence in online social networks. In order to explore this issue the complete network of the former major Hungarian online social network is analyzed. We find that the distance dependence is weaker for the online social network ties than what was found earlier for phone communication networks. For a further analysis we introduced a coarser granularity: We identified the settlements with the nodes of a network and assigned two kinds of weights to the links between them. When the weights are proportional to the number of contacts we observed weakly formed, but spatially based modules resemble to the borders of macro-regions, the highest level of regional administration in the country. If the weights are defined relative to an uncorrelated null model, the next level of administrative regions, counties are reflected. PMID:26359668

  18. Geographies of an Online Social Network

    PubMed Central

    Lengyel, Balázs; Varga, Attila; Ságvári, Bence; Jakobi, Ákos; Kertész, János

    2015-01-01

    How is online social media activity structured in the geographical space? Recent studies have shown that in spite of earlier visions about the “death of distance”, physical proximity is still a major factor in social tie formation and maintenance in virtual social networks. Yet, it is unclear, what are the characteristics of the distance dependence in online social networks. In order to explore this issue the complete network of the former major Hungarian online social network is analyzed. We find that the distance dependence is weaker for the online social network ties than what was found earlier for phone communication networks. For a further analysis we introduced a coarser granularity: We identified the settlements with the nodes of a network and assigned two kinds of weights to the links between them. When the weights are proportional to the number of contacts we observed weakly formed, but spatially based modules resemble to the borders of macro-regions, the highest level of regional administration in the country. If the weights are defined relative to an uncorrelated null model, the next level of administrative regions, counties are reflected. PMID:26359668

  19. How women organize social networks different from men

    E-print Network

    Szell, Michael

    Superpositions of social networks, such as communication, friendship, or trade networks, are called multiplex networks, forming the structural backbone of human societies. Novel datasets now allow quantification and ...

  20. Social Representations of American History and Academic Engagement and Performance of African American Students 

    E-print Network

    Thai, Luyen T.

    2014-04-29

    Previous research has shown that social representations of one’s social groups can influence academic outcomes for racial and ethnic minority students in the United States. Other research has found that representations of ...

  1. Online social network sensors for influenza outbreaks

    E-print Network

    Everett, Katie Elizabeth

    2013-01-01

    Previous research has shown strong correlations between postings on the online social network Twitter where users complain of influenza-like symptoms, and clinical data on actual influenza rates. In addition, previous ...

  2. Delivery properties of human social networks

    E-print Network

    Sollins, Karen R.

    The recently proposed packet switched network paradigm takes advantage of human social contacts to opportunistically create data paths over time. Our goal is to examine the effect of the human contact process on data ...

  3. Social Networks, Personalized Advertising, and Privacy Controls

    E-print Network

    Tucker, Catherine Elizabeth

    This article investigates how Internet users' perceptions of control over their personal information affect how likely they are to click on online advertising on a social networking website. The analysis uses data from a ...

  4. 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.

  5. 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

  6. 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. PMID:23917997

  7. Brand communities embedded in social networks?

    PubMed Central

    Zaglia, Melanie E.

    2013-01-01

    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. PMID:23564989

  8. 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. PMID:23564989

  9. 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.

  10. 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

  11. 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…

  12. 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…

  13. 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…

  14. 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…

  15. 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.…

  16. 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…

  17. 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.…

  18. Aligning Research and Policy on Social-Emotional and Academic Competence for Young Children

    ERIC Educational Resources Information Center

    Nadeem, Erum; Maslak, Kristi; Chacko, Anil; Hoagwood, Kimberly Eaton

    2010-01-01

    Research Findings: The purpose of this article is to describe current education policies as they relate to the promotion of social, emotional, and academic (SEA) development and competence for young children. Academic and social-emotional competencies are described and conceptualized as developmentally linked, reciprocal processes that should be…

  19. 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,…

  20. Enterprise social networks : engaging employees and sustaining participation

    E-print Network

    Sharma, Payal

    2014-01-01

    Social relationships pervade every aspect of human life and development of social networks at work is inevitable. Enterprise social networking solutions provide a platform for employees to formally foster these professional ...

  1. 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…

  2. Urban Boys' Social Networks and School Violence.

    ERIC Educational Resources Information Center

    Minden, Joel; Henry, David B.; Tolan, Patrick H.; Gorman-Smith, Deborah

    2000-01-01

    Examines the extent to which network unconventionality relates to school violence in an inner-city sample of adolescents. Results suggest that school violence is related to unconventional social network characteristics, independent of the effects of individual deviance. Suggests that attempts to reduce school violence might focus on increasing…

  3. 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

  4. Dynamics of Social Networks HOLGER EBEL,1

    E-print Network

    Bornholdt, Stefan

    of interacting proteins or genes, ecological graphs, communication networks, and social networks [1­4]. For most A is linked to node B and B is linked to node C, there is an enhanced probability that A will also be linked

  5. Modeling Relationship Strength in Online Social Networks

    E-print Network

    Pratt, Vaughan

    relationship strength from interaction activity (e.g., communication, tagging) and user similarity. MoreModeling Relationship Strength in Online Social Networks Rongjing Xiang, Jennifer Neville Computer of link formation can lead to networks with heterogeneous relationship strengths (e.g., acquaintances

  6. 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. PMID:26505473

  7. 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

  8. 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. PMID:24061930

  9. Academic, social and cultural factors influencing medical school grade performance.

    PubMed

    Alfayez, S F; Strand, D A; Carline, J D

    1990-05-01

    Studies of medical student performance have focused on various factors, including premedical academics, maturity, familial background and support, and personal experiences with illness. Most studies have been conducted in countries with highly developed educational systems and similar cultural and social systems. It is not clear that these findings can be applied to developing countries, where the educational and cultural experiences may be very different, and where medical instruction is carried out in a non-native language. Information was obtained from a survey of 153 fifth- and sixth-year medical students at King Abdulaziz University in Saudi Arabia. The survey measured premedical educational, social and cultural experiences that might affect medical school performance. Men performed as well as women in the medical school despite heavy familial and social commitments. Women's performance seems to be more influenced by changes in living environment. Achievement in premedical years was correlated positively with grade performance in medical school. Competence in the high-school English courses was related to medical school performance. Interest in the study of medicine prior to medical school was not related to performance. Other motivations, such as social gains, financial benefits or family wish, were related to lower performance. Current interest in clinical medicine correlated negatively with performance. Students motivated by the presence of chronic ill health in their families performed significantly lower. Factors influencing medical school performance in developed countries had similar impact on medical students in a developing country. Social factors, unique to the country, also play a role in medical student performance. PMID:2355866

  10. The relation between extracurricular activities with academic and social competencies in school age children: a meta-analysis 

    E-print Network

    Lewis, Charla P.

    2005-11-01

    There has been a growing discussion in the fields of education and psychology about the relationship between social skill proficiency and academic excellence. However, the presence of extracurricular involvement as promoting both academic and social...

  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. 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…

  13. 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…

  14. 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…

  15. 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…

  16. Developmental stress predicts social network position

    PubMed Central

    Boogert, Neeltje J.; Farine, Damien R.; Spencer, Karen A.

    2014-01-01

    The quantity and quality of social relationships, as captured by social network analysis, can have major fitness consequences. Various studies have shown that individual differences in social behaviour can be due to variation in exposure to developmental stress. However, whether these developmental differences translate to consistent differences in social network position is not known. We experimentally increased levels of the avian stress hormone corticosterone (CORT) in nestling zebra finches in a fully balanced design. Upon reaching nutritional independence, we released chicks and their families into two free-flying rooms, where we measured daily social networks over five weeks using passive integrated transponder tags. Developmental stress had a significant effect on social behaviour: despite having similar foraging patterns, CORT chicks had weaker associations to their parents than control chicks. Instead, CORT chicks foraged with a greater number of flock mates and were less choosy with whom they foraged, resulting in more central network positions. These findings highlight the importance of taking developmental history into account to understand the drivers of social organization in gregarious species. PMID:25354917

  17. 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…

  18. Towards Robust Trust Establishment in Web-Based Social Networks with SocialTrust

    E-print Network

    Caverlee, James

    Towards Robust Trust Establishment in Web-Based Social Networks with SocialTrust James Caverlee Dep, Experimentation 1. INTRODUCTION Web-based social networking services like the ones offered by MySpace and Facebook

  19. 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.

  20. 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…

  1. Dynamics of deceptive interactions in social networks.

    PubMed

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

    2015-11-01

    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. PMID:26510829

  2. The fundamental structures of dynamic social networks

    E-print Network

    Sekara, Vedran; Lehmann, Sune

    2015-01-01

    Networks provide a powerful mathematical framework for analyzing the structure and dynamics of complex systems (1-3). The study of group behavior has deep roots in the social science literature (4,5) and community detection is a central part of modern network science. Network communities have been found to be highly overlapping and organized in a hierarchical structure (6-9). Recent technological advances have provided a toolset for measuring the detailed social dynamics at scale (10,11). In spite of great progress, a quantitative description of the complex temporal behavior of social groups-with dynamics spanning from minute-by-minute changes to patterns expressed on the timescale of years-is still absent. Here we uncover a class of fundamental structures embedded within highly dynamic social networks. On the shortest time-scale, we find that social gatherings are fluid, with members coming and going, but organized via a stable core of individuals. We show that cores represent social contexts (9), with recur...

  3. Conformity biased transmission in social networks.

    PubMed

    Whalen, Andrew; Laland, Kevin

    2015-09-01

    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. PMID:26135406

  4. Change and Stability in Children's Social Network and Self-Perceptions during Transition from Elementary to Junior High School

    ERIC Educational Resources Information Center

    Cantin, Stephane; Boivin, Michel

    2004-01-01

    This study examined the changes in children's social network and specific self-perceptions during the transition from elementary school to junior high school (JHS). The participants were 200 preadolescent children (104 girls, 96 boys). Children's self-perceptions (global self-worth, perceived academic competence, and perceived social acceptance)…

  5. Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media

    E-print Network

    Moro, Esteban

    Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media Abstract An increasing fraction of today's social interactions occur using online social media) Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media. PLoS ONE 7

  6. 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…

  7. 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…

  8. Agents of Influence in Social Networks Amer G. Ghanem

    E-print Network

    Minai, Ali A.

    In recent years, social networking sites and social media have become a very important part of peoples, advertising, gam- ing, etc., have embraced social networks and have sought to exploit their potential to reachAgents of Influence in Social Networks Amer G. Ghanem University of Cincinnati Cincinnati, Ohio

  9. Social Scholarship: Applying Social Networking Technologies to Research Practices

    ERIC Educational Resources Information Center

    Greenhow, Christine

    2009-01-01

    Participatory web-based technologies have the potential to change the way scholars engage in scholarship. One reason Web 2.0 technologies, such as online social networking, are not widely integrated in PreK-12 and postsecondary education is the lack of modeling by educators. Their lack of research-based best practices limits the ability to…

  10. 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…

  11. Social networks and cultural transmission 

    E-print Network

    Quillinan, Justin

    2006-01-01

    Language is a complex dynamical system that is shaped not just through biological evolution but by the way it is used in a social context. Sociolinguists have long understood that the structure of a society strongly ...

  12. 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.

  13. 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. PMID:25192305

  14. 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

  15. Group Colocation Behavior in Technological Social Networks

    PubMed Central

    Brown, Chloë; Lathia, Neal; Mascolo, Cecilia; Noulas, Anastasios; Blondel, Vincent

    2014-01-01

    We analyze two large datasets from technological networks with location and social data: user location records from an online location-based social networking service, and anonymized telecommunications data from a European cellphone operator, in order to investigate the differences between individual and group behavior with respect to physical location. We discover agreements between the two datasets: firstly, that individuals are more likely to meet with one friend at a place they have not visited before, but tend to meet at familiar locations when with a larger group. We also find that groups of individuals are more likely to meet at places that their other friends have visited, and that the type of a place strongly affects the propensity for groups to meet there. These differences between group and solo mobility has potential technological applications, for example, in venue recommendation in location-based social networks. PMID:25148037

  16. 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.

  17. The Majority Illusion in Social Networks

    E-print Network

    Lerman, Kristina; Wu, Xin-Zeng

    2015-01-01

    Social behaviors are often contagious, spreading through a population as individuals imitate the decisions and choices of others. A variety of global phenomena, from innovation adoption to the emergence of social norms and political movements, arise as a result of people following a simple local rule, such as copy what others are doing. However, individuals often lack global knowledge of the behaviors of others and must estimate them from the observations of their friends' behaviors. In some cases, the structure of the underlying social network can dramatically skew an individual's local observations, making a behavior appear far more common locally than it is globally. We trace the origins of this phenomenon, which we call "the majority illusion," to the friendship paradox in social networks. As a result of this paradox, a behavior that is globally rare may be systematically overrepresented in the local neighborhoods of many people, i.e., among their friends. Thus, the "majority illusion" may facilitate the ...

  18. Social Trust Prediction Using Heterogeneous Networks

    PubMed Central

    HUANG, JIN; NIE, FEIPING; HUANG, HENG; TU, YI-CHENG; LEI, YU

    2014-01-01

    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. PMID:24729776

  19. Social networks for lonely objects

    E-print Network

    Kestner, John Anthony

    2010-01-01

    Visions of ubiquitous computing describe a network of devices that quietly supports human goals, but this may also add complexity to an already frustrating relationship between humans and their electronic objects. As we ...

  20. Structure-Preserving Sparsification of Social Networks

    E-print Network

    Lindner, Gerd; Hamann, Michael; Meyerhenke, Henning; Wagner, Dorothea

    2015-01-01

    Sparsification reduces the size of networks while preserving structural and statistical properties of interest. Various sparsifying algorithms have been proposed in different contexts. We contribute the first systematic conceptual and experimental comparison of \\textit{edge sparsification} methods on a diverse set of network properties. It is shown that they can be understood as methods for rating edges by importance and then filtering globally by these scores. In addition, we propose a new sparsification method (\\textit{Local Degree}) which preserves edges leading to local hub nodes. All methods are evaluated on a set of 100 Facebook social networks with respect to network properties including diameter, connected components, community structure, and multiple node centrality measures. Experiments with our implementations of the sparsification methods (using the open-source network analysis tool suite NetworKit) show that many network properties can be preserved down to about 20\\% of the original set of edges....

  1. Influence of Reciprocal links in Social Networks

    E-print Network

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

    2013-01-01

    In this Letter, we empirically study the influence of reciprocal links, in order to understand its role in affecting the structure and function of directed social networks. Experimental results on two representative datesets, Sina Weibo and Douban, demonstrate that the reciprocal links indeed play a more important role than non-reciprocal ones in both spreading information and maintaining the network robustness. In particular, the information spreading process can be significantly enhanced by considering the reciprocal effect. In addition, reciprocal links are largely responsible for the connectivity and efficiency of directed networks. This work may shed some light on the in-depth understanding and application of the reciprocal effect in directed online social networks.

  2. MAXIMUM LIKELIHOOD ESTIMATION FOR SOCIAL NETWORK DYNAMICS

    PubMed Central

    Snijders, Tom A.B.; Koskinen, Johan; Schweinberger, Michael

    2014-01-01

    A model for network panel data is discussed, based on the assumption that the observed data are discrete observations of a continuous-time Markov process on the space of all directed graphs on a given node set, in which changes in tie variables are independent conditional on the current graph. The model for tie changes is parametric and designed for applications to social network analysis, where the network dynamics can be interpreted as being generated by choices made by the social actors represented by the nodes of the graph. An algorithm for calculating the Maximum Likelihood estimator is presented, based on data augmentation and stochastic approximation. An application to an evolving friendship network is given and a small simulation study is presented which suggests that for small data sets the Maximum Likelihood estimator is more efficient than the earlier proposed Method of Moments estimator. PMID:25419259

  3. 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%. PMID:23920892

  4. Detecting Emotional Contagion in Massive Social Networks

    PubMed Central

    Coviello, Lorenzo; Sohn, Yunkyu; Kramer, Adam D. I.; Marlow, Cameron; Franceschetti, Massimo; Christakis, Nicholas A.; Fowler, James H.

    2014-01-01

    Happiness and other emotions spread between people in direct contact, but it is unclear whether massive online social networks also contribute to this spread. Here, we elaborate a novel method for measuring the contagion of emotional expression. With data from millions of Facebook users, we show that rainfall directly influences the emotional content of their status messages, and it also affects the status messages of friends in other cities who are not experiencing rainfall. For every one person affected directly, rainfall alters the emotional expression of about one to two other people, suggesting that online social networks may magnify the intensity of global emotional synchrony. PMID:24621792

  5. 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…

  6. 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…

  7. 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…

  8. 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…

  9. 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

  10. Beyond Social Graphs: User Interactions in Online Social Networks and their Implications

    E-print Network

    Almeroth, Kevin C.

    17 Beyond Social Graphs: User Interactions in Online Social Networks and their Implications CHRISTO Barbara Social networks are popular platforms for interaction, communication, and collaboration between through a detailed study of user interactions in the Facebook social network. We propose the use

  11. Distance Matters: Geo-social Metrics for Online Social Networks Salvatore Scellato

    E-print Network

    Hand, Steven

    Catania and INFN Abstract Online Social Networks (OSNs) are increasingly be- coming one of the key media for it. For instance, there are social networking services grounded on the idea of advertising your exactDistance Matters: Geo-social Metrics for Online Social Networks Salvatore Scellato Computer

  12. 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.

  13. 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

  14. 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.

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

    PubMed

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

    2010-01-01

    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. PMID:20657762

  16. Googling Social Interactions: Web Search Engine Based Social Network Construction

    PubMed Central

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

    2010-01-01

    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. PMID:20657762

  17. 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

  18. 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. PMID:25225373

  19. A longitudinal study of the social and academic competence of economically disadvantaged bilingual preschool children.

    PubMed

    Oades-Sese, Geraldine V; Esquivel, Giselle B; Kaliski, Pamela K; Maniatis, Lisette

    2011-05-01

    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 analysis of 207 Hispanic American preschoolers (ages 4 and 5 years) yielded 6 distinct profiles, 2 of which were socially competent and 1 of which was vulnerable. Findings revealed profile differences in social competence and a significant relationship between bilingualism and social-emotional development. In Study 2, the authors determined which profiles were associated with later academic achievement and growth of English proficiency. Findings indicated a significant relationship of early social-emotional development to later academic success and English acquisition, highlighting the role of bilingualism. PMID:21219064

  20. 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.

  1. "Cloudworks": Social Networking for Learning Design

    ERIC Educational Resources Information Center

    Conole, Grainne; Culver, Juliette

    2009-01-01

    Can we apply the best of Web 2.0 principles to an educational context? More specifically can we use this as a means of shifting teaching practice to a culture of sharing learning ideas and designs? This paper describes a new social networking site, "Cloudworks", which aims to provide a mechanism for sharing, discussing and finding learning and…

  2. 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…

  3. 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…

  4. Exploring Social Networking: Developing Critical Literacies

    ERIC Educational Resources Information Center

    Watson, Pauline

    2012-01-01

    While schools have been using computers within their classrooms for years now, there has been a purposeful ignoring of the growing power of social networks such as Facebook and Twitter. Many schools ban students from accessing and using sites such as Facebook at school and many English and literacy teachers ignore or deny their value as a teaching…

  5. 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.…

  6. The Social Network Classroom Peter Bunus

    E-print Network

    Burns, Peter

    , blogging, Facebook, Twitter, YouTube. 1 Introduction Teens and college students, ages 12 to 28 years, have%), reading blogs (43%) or use social networking sites (67%). The survey from Table 1 shows that teens in online activities according to Jones and Fox 2009 [4] Online Teens (1217) Gen Y (1832) Gen X

  7. SNIF: Social Networking In Fur Jonathan Gips

    E-print Network

    to the benefit of both owners and their pets. 3. BACKGROUND REVIEW In the United States, pets outnumber people, a system that allows pet owners to interact through their pets' social networks. SNIF comprises inexpensive hardware that can be unobtrusively and transparently affixed to pet collars and paraphernalia in order

  8. 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…

  9. 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.…

  10. 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…

  11. 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,…

  12. 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…

  13. Innovation flow through social networks: Productivity distribution

    E-print Network

    T. Di Matteo; T. Aste; M. Gallegati

    2004-06-19

    A detailed empirical analysis of the productivity of non financial firms across several countries and years shows that productivity follows a non-Gaussian distribution with power law tails. We demonstrate that these empirical findings can be interpreted as consequence of a mechanism of exchanges in a social network where firms improve their productivity by direct innovation or/and by imitation of other firm's technological and organizational solutions. The type of network-connectivity determines how fast and how efficiently information can diffuse and how quickly innovation will permeate or behaviors will be imitated. From a model for innovation flow through a complex network we obtain that the expectation values of the productivity level are proportional to the connectivity of the network of links between firms. The comparison with the empirical distributions reveals that such a network must be of a scale-free type with a power-law degree distribution in the large connectivity range.

  14. Evolution of a large online social network

    NASA Astrophysics Data System (ADS)

    Hu, Haibo; Wang, Xiaofan

    2009-03-01

    Although recently there are extensive research on the collaborative networks and online communities, there is very limited knowledge about the actual evolution of the online social networks (OSN). In the Letter, we study the structural evolution of a large online virtual community. We find that the scale growth of the OSN shows non-trivial S shape which may provide a proper exemplification for Bass diffusion model. We reveal that the evolutions of many network properties, such as density, clustering, heterogeneity and modularity, show non-monotone feature, and shrink phenomenon occurs for the path length and diameter of the network. Furthermore, the OSN underwent a transition from degree assortativity characteristic of collaborative networks to degree disassortativity characteristic of many OSNs. Our study has revealed the evolutionary pattern of interpersonal interactions in a specific population and provided a valuable platform for theoretical modeling and further analysis.

  15. Social networking has completely transformed social life in the online world. It has become

    E-print Network

    Enbody, Richard

    Social networking has completely transformed social life in the online world. It has become the most acceptable pattern of forging social connections on the web. Every new development has pros and cons in its own sphere, though, and social networking web sites are no different. Online social

  16. 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

  17. Adjustment of Undergraduate Latino Students at a Southeastern University: Cultural Components of Academic and Social Integration

    ERIC Educational Resources Information Center

    Gonzalez, Laura McLaughlin; Ting, Siu-Man Raymond

    2008-01-01

    College campuses in the southeast United States are striving to understand and serve their newly arriving Latino students to promote adjustment and academic success. The purpose of this article is to outline the cultural components of academic and social integration of Latino college students at one southeastern campus, based on descriptive survey…

  18. Quality Criteria of Research Perceived by Academics in Social Sciences at Higher Education

    ERIC Educational Resources Information Center

    Bakioglu, Aysen; Kurnaz, Ozlem

    2009-01-01

    The purpose of this study is to examine the problem of research quality in social sciences at higher education. Quality of research produced at higher education started to be questioned more often as research became the major factor determining academics' promotion and fund allocation to universities. In the study, we aimed to reveal how academics

  19. 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…

  20. 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…

  1. 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…

  2. 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…

  3. 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

  4. Social Networks of Educated Nematodes.

    PubMed

    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. 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…

  6. 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,…

  7. Representing Excuses in Social Dependence Networks

    NASA Astrophysics Data System (ADS)

    Boella, Guido; Broersen, Jan; van der Torre, Leendert; Villata, Serena

    In this paper, we propose a representation of excuses in the context of multiagent systems. We distinguish five classes of excuses, taking as starting point both jurisprudential and philosophical studies about this topic, and we discuss their acceptance criteria. We highlight the following classes of excuses: epistemic excuses, power-based excuses, norm-based excuses, counts as-based excuses and social-based excuses and we represent them using social dependence networks. The acceptance criteria individuate those excuses which success in maintaining the trust of the other agents, e.g. in the context of social networks, excuses based on norms seem better than counts as-based ones in achieving this aim.

  8. 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. PMID:25072242

  9. Social Networks among Residents in Recovery Homes

    PubMed Central

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

    2013-01-01

    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. PMID:23956954

  10. Managing Trust in Online Social Networks

    NASA Astrophysics Data System (ADS)

    Bhuiyan, Touhid; Josang, Audun; Xu, Yue

    In recent years, there is a dramatic growth in number and popularity of online social networks. There are many networks available with more than 100 million registered users such as Facebook, MySpace, QZone, Windows Live Spaces etc. People may connect, discover and share by using these online social networks. The exponential growth of online communities in the area of social networks attracts the attention of the researchers about the importance of managing trust in online environment. Users of the online social networks may share their experiences and opinions within the networks about an item which may be a product or service. The user faces the problem of evaluating trust in a service or service provider before making a choice. Recommendations may be received through a chain of friends network, so the problem for the user is to be able to evaluate various types of trust opinions and recommendations. This opinion or recommendation has a great influence to choose to use or enjoy the item by the other user of the community. Collaborative filtering system is the most popular method in recommender system. The task in collaborative filtering is to predict the utility of items to a particular user based on a database of user rates from a sample or population of other users. Because of the different taste of different people, they rate differently according to their subjective taste. If two people rate a set of items similarly, they share similar tastes. In the recommender system, this information is used to recommend items that one participant likes, to other persons in the same cluster. But the collaborative filtering system performs poor when there is insufficient previous common rating available between users; commonly known as cost start problem. To overcome the cold start problem and with the dramatic growth of online social networks, trust based approach to recommendation has emerged. This approach assumes a trust network among users and makes recommendations based on the ratings of the users that are directly or indirectly trusted by the target user.

  11. 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. PMID:22016701

  12. 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

  13. 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.

  14. 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

  15. 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. PMID:22796101

  16. 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…

  17. 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…

  18. 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…

  19. Measurement and Analysis of Online Social Networks Alan Mislove

    E-print Network

    Gummadi, Krishna P.

    Measurement and Analysis of Online Social Networks Alan Mislove MPI for Software Systems Campus E1 systems and to design new applications of online social networks. This paper presents a large- nally, we discuss the implications of these structural prop- erties for the design of social network

  20. Hybrid Social Media Network Dept. of Electrical Engineering

    E-print Network

    Chang, Shih-Fu

    Hybrid Social Media Network Dong Liu Dept. of Electrical Engineering Columbia University New York can be easily observed from the social media networks. However, there are many heterogeneous entities/her information needs, a propagation over the hybrid social media network is employed to infer the utility scores

  1. Notes for Offline Optimal Ads Allocation in Social Network Advertising

    E-print Network

    Srinivasan, Aravind

    Notes for Offline Optimal Ads Allocation in Social Network Advertising Hui Miao, Peixin Gao May 12, 2014 1 Social Network Advertising Social network sites (SNS) such as Facebook, Google+ and Twitter have (SNS), users expose many personal behaviors and connect to each other based on real world relationships

  2. Combining Topic Models and Social Networks for Chat Data Mining

    E-print Network

    Myllymäki, Petri

    Combining Topic Models and Social Networks for Chat Data Mining Ville Tuulos and Henry Tirri July 4, 2004 HIIT TECHNICAL REPORT 2004­13 #12;Combining Topic Models and Social Networks for Chat Data Mining;Combining Topic Models and Social Networks for Chat Data Mining Ville H. Tuulos and Henry Tirri Complex

  3. 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

  4. Trust Evaluation in Online Social Networks Using Generalized Network Flow

    E-print Network

    Wu, Jie

    -hand), such as a directed link from s to u, or through a recommendation (second-hand), such as a trusted path (s, u, d target d (it can be a person, or a product/service he provides) in online social networks (OSNs). Some

  5. 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

  6. 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…

  7. 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)…

  8. [applications CORNER]Ulrik Brandes Social Network Analysis and Visualization

    E-print Network

    Brandes, Ulrik

    theories of social interaction with corresponding methods for its analysis [5]. A social network may represent any form of relation (affection, dependency, power, support, etc.) between any type of social[applications CORNER]Ulrik Brandes Social Network Analysis and Visualization 1053

  9. Message from the Workshop on the Future of Social Networking

    E-print Network

    Hand, Steven

    Factors Keywords Social networks, Privacy, Recommendation 1. INTRODUCTION Electronic social networks, social media are increasingly underpinning and being exploited for new appli- cations. The purpose. The event was timely and preceded major political events in which social media were important. What role did

  10. Social networks and research output

    E-print Network

    Ductor, Lorenzo; Fafchamps, Marcel; Goyal, Sanjeev; van der Leij, Marco J.

    2013-11-12

    variables predict their future productivity. We find that the predictive value of network variables is non-monotonic with respect to past productivity. Net- work variables do not predict the future productivity of individuals with below average initial... 50 ,y75, log of log, Poisson, Non-negative Binomial, Zero inflated Non-Negative Binomial and Tobit. In terms of out-of-sample RMSE, the specification that provides the best forecast is ln(x+ 1), which is the one we report here. See the online appendix...

  11. 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. PMID:25730170

  12. Unfavorable Individuals in Social Gaming Networks.

    PubMed

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

    2015-01-01

    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. PMID:26648549

  13. Unfavorable Individuals in Social Gaming Networks

    PubMed Central

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

    2015-01-01

    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. PMID:26648549

  14. 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.

  15. 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.

  16. 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. PMID:25795223

  17. Perceived social support and academic achievement: cross-lagged panel and bivariate growth curve analyses.

    PubMed

    Mackinnon, Sean P

    2012-04-01

    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 disentangle the direction of relationships. This study uses a cross-lagged panel and a bivariate growth curve analysis with a three-wave longitudinal design. Participants include 10,445 students (56% female; 12.6% born outside of Canada) transitioning to post-secondary education from ages 15-19. Self-report measures of academic achievement and a generalized measure of perceived social support were used. An increase in average relative standing in academic achievement predicted an increase in average relative standing on perceived social support 2 years later, but the reverse was not true. High levels of perceived social support at age 15 did not protect against declines in academic achievement over time. In sum, perceived social support appears to have no bearing on adolescents' future academic performance, despite commonly held assumptions of its importance. PMID:21720859

  18. 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…

  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. Computing and the social organization of academic work

    NASA Astrophysics Data System (ADS)

    Shields, Mark A.; Graves, William; Nyce, James M.

    1992-12-01

    This article discusses the academic computing movement during the 1980s. We focus on the Faculty Workstations Project at Brown University, where major computing initiatives were undertaken during the 1980s. Six departments are compared: chemistry, cognitive and linguistic sciences, geology, music, neural science, and sociology. We discuss the theoretical implications of our study for conceptualizing the relationship of computing to academic work.

  1. Networks, Norms, and Trust: The Social Psychology of Social Capital. 2004 Cooley Mead Award Address

    ERIC Educational Resources Information Center

    Cook, Karen Schweers

    2005-01-01

    Networks of trust relations often emerge under conditions of uncertainty or risk to facilitate social exchange. Under some conditions, such networks represent a form of social capital that can be mobilized in support of general social cooperation in the society. Under other conditions, however, such networks may have negative effects on the degree…

  2. The Evolution of an Academic Network in Palestine Adrienne Dockrell Yaser Doleh Paul A. Farrell

    E-print Network

    Farrell, Paul A.

    The Evolution of an Academic Network in Palestine Adrienne Dockrell Yaser Doleh Paul A. Farrell November 1994 Computer Science Technical Report 1994 #12;The Evolution of an Academic Network in Palestine them the capability to share resources between each other and to access resources outside Palestine

  3. 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

  4. 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.

  5. 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. PMID:23599228

  6. 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…

  7. Enhancing Academic Performance and Social and Emotional Competence with the RULER Feeling Words Curriculum

    ERIC Educational Resources Information Center

    Brackett, Marc A.; Rivers, Susan E.; Reyes, Maria R.; Salovey, Peter

    2012-01-01

    A pre- and post-test quasi-experimental design was used to test the impact of a 30-week, theoretically-based social and emotional learning (SEL) curriculum, The RULER Feeling Words Curriculum ("RULER"), on the academic performance and social and emotional competence of 5th and 6th grade students (N = 273) in fifteen classrooms in three schools.…

  8. Studying for the Sake of Others: The Role of Social Goals on Academic Engagement

    ERIC Educational Resources Information Center

    King, Ronnel Bornasal; McInerney, Dennis M.; Watkins, David A.

    2012-01-01

    Much of the research on achievement goal theory has focused on the roles of mastery and performance goals in academic engagement, thus the role of other goals such as social goals has mostly been neglected. The aim of this research was to investigate the effects of different kinds of social goals (affiliation, approval, concern, responsibility and…

  9. Social Support as a Buffer in the Relationship between Socioeconomic Status and Academic Performance

    ERIC Educational Resources Information Center

    Malecki, Christine Kerres; Demaray, Michelle Kilpatrick

    2006-01-01

    The present study was an investigation of the potential moderating effect of social support on academic performance for students living in poverty. Data were collected in one urban middle school from 164 primarily Hispanic students using the Child and Adolescent Social Support Scale (CASSS; Malecki, Demaray, & Elliott, 2000) and students' course…

  10. 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…

  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. 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…

  13. 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…

  14. 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…

  15. 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…

  16. A Social Compute Cloud: Allocating and Sharing Infrastructure Resources via Social Networks

    E-print Network

    to facilitate resource sharing. A social cloud is "a resource and service sharing framework utilizingA Social Compute Cloud: Allocating and Sharing Infrastructure Resources via Social Networks Simon, IEEE, and Omer F. Rana, Member, IEEE Abstract--Social network platforms have rapidly changed the way

  17. 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…

  18. 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…

  19. 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. PMID:23786169

  20. 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. PMID:24453911

  1. Development and initial validation of the Social and Academic Behavior Risk Screener for elementary grades.

    PubMed

    Kilgus, Stephen P; Chafouleas, Sandra M; Riley-Tillman, T Chris

    2013-09-01

    The purpose of the current investigation was to develop and provide initial validation of the Social and Academic Behavior Risk Screener (SABRS). Research was conducted in southeast elementary schools with 54 teacher and 243 student participants. An initial item pool was created through review of developmental research on the trajectory of behavior problems and competencies, as well as various models of social, emotional, and academic competence. A content validation process in addition to reliability and exploratory factor analyses resulted in development of a 12-item SABRS scale. Two factors emerged, with six items corresponding to "Social Behavior" and 6 items corresponding to "Academic Behavior." Subsequent correlational and receiver operating characteristic curve analyses revealed each scale, as well as an overall combined scale, to be a concurrently valid and diagnostically accurate predictor of the Social Skills Improvement System (SSIS) Teacher Rating Scales. The reader is provided a review of implications for practice and directions for future SABRS research. PMID:23773134

  2. 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.

  3. 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.

  4. Networks of digital humanities scholars: The informational and social uses and gratifications of Twitter

    E-print Network

    Quan-Haase, Anabel; McCay-Peet, Lori

    2015-01-01

    Big data research is currently split on whether and to what extent Twitter can be characterised as an informational or social network. We contribute to this line of inquiry through an investigation of digital humanities scholars' uses and gratifications of Twitter. We conducted a thematic analysis of 25 semistructured interview transcripts to learn about these scholars' professional use of Twitter. Our findings show that Twitter is considered a critical tool for informal communication within DH invisible colleges, functioning at varying levels as both an informational network (learning to 'Twitter' and maintaining awareness) and a social network (imagining audiences and engaging other digital humanists). We find that Twitter follow relationships reflect common academic interests and are closely tied to scholars' preexisting social ties and conference or event co-attendance. The concept of the invisible college continues to be relevant but requires revisiting. The invisible college formed on Twitter is messy, ...

  5. 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.

  6. Probabilistic User-level Opinion Detection on Online Social Networks

    E-print Network

    Petzold, Linda R.

    , 21]. More recently, social media has been instrumental in facilitating the protests in Ukraine [27Probabilistic User-level Opinion Detection on Online Social Networks Kasturi Bhattacharjee popularity of online social networks such as Face- book and Twitter makes them an interesting and important

  7. 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…

  8. Improving Student Engagement Using Course-Based Social Networks

    ERIC Educational Resources Information Center

    Imlawi, Jehad Mohammad

    2013-01-01

    This study proposes an engagement model that supports use of course-based online social networks for engaging student, and hence, improving their educational outcomes. This research demonstrates that instructors who create course-based online social networks to communicate with students can increase the student engagement in these online social

  9. ASCI, 2010 Analysis of BBO Fans Social Networks Analysis of

    E-print Network

    Langendoen, Koen

    · Friends and enemies, filtering by skill and nationality · No advanced social networking features, e1 ASCI, 2010 ­ Analysis of BBO Fans Social Networks Analysis of BBO Fans, an Online Social Gaming Community Alexandru Iosup Parallel and Distributed Systems Group Delft University of Technology Vlad Posea

  10. Improving Family Forest Knowledge Transfer through Social Network Analysis

    ERIC Educational Resources Information Center

    Gorczyca, Erika L.; Lyons, Patrick W.; Leahy, Jessica E.; Johnson, Teresa R.; Straub, Crista L.

    2012-01-01

    To better engage Maine's family forest landowners our study used social network analysis: a computational social science method for identifying stakeholders, evaluating models of engagement, and targeting areas for enhanced partnerships. Interviews with researchers associated with a research center were conducted to identify how social network

  11. The YouTube Social Network Mirjam Wattenhofer

    E-print Network

    Cortes, Corinna

    The YouTube Social Network Mirjam Wattenhofer Google Zurich mirjam@google.com Roger Wattenhofer ETH information. A ma- jor contribution to its success comes from the user-to- user social experience with major online social networks (OSNs) such as Facebook, Twitter, and Google+ to facilitate off-site diffu

  12. PROXIMITY, INTERACTIONS, AND COMMUNITIES IN SOCIAL NETWORKS: PROPERTIES AND

    E-print Network

    Linhardt, Robert J.

    PROXIMITY, INTERACTIONS, AND COMMUNITIES IN SOCIAL NETWORKS: PROPERTIES AND APPLICATIONS. By Tommy . . . . . . . . . . . . . . . . 35 3.4.3 Face-to-Face Interactions Measurements . . . . . . . . . . . . 35 3.5 Application: Social . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Ranking Information in Social Networks . . . . . . . . . . . . . . . . 2 1.2 Small Worlds

  13. 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…

  14. Social Networking Technologies: A "Poke" for Campus Services

    ERIC Educational Resources Information Center

    Berg, Joanne; Berquam, Lori; Christoph, Kathy

    2007-01-01

    Handwritten notes, meeting for coffee, eye contact, a handshake, a smile--are these social practices of yesteryear, soon to be replaced by the "wall posts" and "pokes" of today's social networking technologies? Although advances in social networking technologies allow for new and perhaps more efficient means of learning and communicating, they…

  15. 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…

  16. 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. PMID:26172345

  17. Assessing group interaction with social language network analysis.

    SciTech Connect

    Pennebaker, James; Scholand, Andrew Joseph; Tausczik, Yla R.

    2010-04-01

    In this paper we discuss a new methodology, social language network analysis (SLNA), that combines tools from social language processing and network analysis to assess socially situated working relationships within a group. Specifically, SLNA aims to identify and characterize the nature of working relationships by processing artifacts generated with computer-mediated communication systems, such as instant message texts or emails. Because social language processing is able to identify psychological, social, and emotional processes that individuals are not able to fully mask, social language network analysis can clarify and highlight complex interdependencies between group members, even when these relationships are latent or unrecognized.

  18. Assessing Group Interaction with Social Language Network Analysis

    NASA Astrophysics Data System (ADS)

    Scholand, Andrew J.; Tausczik, Yla R.; Pennebaker, James W.

    In this paper we discuss a new methodology, social language network analysis (SLNA), that combines tools from social language processing and network analysis to assess socially situated working relationships within a group. Specifically, SLNA aims to identify and characterize the nature of working relationships by processing artifacts generated with computer-mediated communication systems, such as instant message texts or emails. Because social language processing is able to identify psychological, social, and emotional processes that individuals are not able to fully mask, social language network analysis can clarify and highlight complex interdependencies between group members, even when these relationships are latent or unrecognized.

  19. Understanding Spreading Patterns on Social Networks Based on Network Topology

    E-print Network

    Saxena, Akrati; Gupta, Yayati

    2015-01-01

    Ever since the proposal of first epidemic model, scientists have been attempting to estimate the growth of a disease/contagion while in its premature stage. Despite being the focus of researchers for a long time, understanding epidemiology remains as error prone as a weather forecast, mainly because of the unavailability of large amount of data. An epidemic spread is analogous to the diffusion of memes in social networking sites. Diffusion of memes can be easily studied provided large datasets and computational powers to extract information from online networks. So, studying a meme spreading pattern can help us in understanding epidemiology. In this paper, we analyse the impact of the topology of a social network, specifically its meso scale properties- community structure and core-periphery structure, on a meme traversing over it. We propose a meme propagation model for synthetic scale free graphs which resemble real world graphs and observe the process of a meme going viral on such a network. We also valida...

  20. 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…

  1. Comparing Maternal and Child Reports of Children's Social Networks.

    ERIC Educational Resources Information Center

    Zelkowitz, Phyllis

    A set of instruments was developed to study children's social networks. Mothers and their preschool-age children were interviewed with regard to (1) the composition of each child's social network and (2) the performance of support functions by network members. To determine the reliability of measures, a pilot sample of mothers and children was…

  2. Social networking and information diffusion in automated markets

    E-print Network

    McBurney, Peter

    Social networking and information diffusion in automated markets Martin Chapman1 , Gareth Tyson1, a simulation plat- form for agent-based trading in competing markets3 , to allow for social networking between of Computer Science, University of Liverpool, UK katie@liverpool.ac.uk Abstract. To what extent do networks

  3. Chic or Social: Visual Popularity Analysis in Online Fashion Networks

    E-print Network

    Berg, Tamara L.

    Chic or Social: Visual Popularity Analysis in Online Fashion Networks Kota Yamaguchi Tohoku in a large real-world network focused on fashion. We make use of state of the art computer vision techniques Terms Experimentation, Human Factors, Measurement Keywords Social multimedia, Online fashion networks 1

  4. 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.

  5. Trust and compactness in social network groups.

    PubMed

    De Meo, Pasquale; Ferrara, Emilio; Rosaci, Domenico; Sarné, Giuseppe M L

    2015-02-01

    Understanding the dynamics behind group formation and evolution in social networks is considered an instrumental milestone to better describe how individuals gather and form communities, how they enjoy and share the platform contents, how they are driven by their preferences/tastes, and how their behaviors are influenced by peers. In this context, the notion of compactness of a social group is particularly relevant. While the literature usually refers to compactness as a measure to merely determine how much members of a group are similar among each other, we argue that the mutual trustworthiness between the members should be considered as an important factor in defining such a term. In fact, trust has profound effects on the dynamics of group formation and their evolution: individuals are more likely to join with and stay in a group if they can trust other group members. In this paper, we propose a quantitative measure of group compactness that takes into account both the similarity and the trustworthiness among users, and we present an algorithm to optimize such a measure. We provide empirical results, obtained from the real social networks EPINIONS and CIAO, that compare our notion of compactness versus the traditional notion of user similarity, clearly proving the advantages of our approach. PMID:25099965

  6. Science and Technology Undergraduate Students' Use of the Internet, Cell Phones and Social Networking Sites to Access Library Information

    ERIC Educational Resources Information Center

    Salisbury, Lutishoor; Laincz, Jozef; Smith, Jeremy J.

    2012-01-01

    Many academic libraries and publishers have developed mobile-optimized versions of their web sites and catalogs. Almost all database vendors and major journal publishers have provided a way to connect to their resources via the Internet and the mobile web. In light of this pervasive use of the Internet, mobile devices and social networking, this…

  7. Visualising the invisible: a network approach to reveal the informal social side of student learning.

    PubMed

    Hommes, J; Rienties, B; de Grave, W; Bos, G; Schuwirth, L; Scherpbier, A

    2012-12-01

    World-wide, universities in health sciences have transformed their curriculum to include collaborative learning and facilitate the students' learning process. Interaction has been acknowledged to be the synergistic element in this learning context. However, students spend the majority of their time outside their classroom and interaction does not stop outside the classroom. Therefore we studied how informal social interaction influences student learning. Moreover, to explore what really matters in the students learning process, a model was tested how the generally known important constructs-prior performance, motivation and social integration-relate to informal social interaction and student learning. 301 undergraduate medical students participated in this cross-sectional quantitative study. Informal social interaction was assessed using self-reported surveys following the network approach. Students' individual motivation, social integration and prior performance were assessed by the Academic Motivation Scale, the College Adaption Questionnaire and students' GPA respectively. A factual knowledge test represented student' learning. All social networks were positively associated with student learning significantly: friendships (? = 0.11), providing information to other students (? = 0.16), receiving information from other students (? = 0.25). Structural equation modelling revealed a model in which social networks increased student learning (r = 0.43), followed by prior performance (r = 0.31). In contrast to prior literature, students' academic motivation and social integration were not associated with students' learning. Students' informal social interaction is strongly associated with students' learning. These findings underline the need to change our focus from the formal context (classroom) to the informal context to optimize student learning and deliver modern medics. PMID:22294429

  8. 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…

  9. A Conceptual Model of the Mechanisms by which Ego Resiliency Impacts Academic Engagement and Achievement: Social Relatedness as a Mediator 

    E-print Network

    Dreke, Linda L.

    2010-07-14

    resiliency predicts subsequent social relatedness was not supported in either reading or math revised models. Because of this, the overall study hypothesis that social relatedness would mediate the relationship between ego resiliency and subsequent academic...

  10. Understanding how social networking influences perceived satisfaction with conference experiences

    USGS Publications Warehouse

    van Riper, Carena J.; van Riper, Charles, III; Kyle, Gerard T.; Lee, Martha E.

    2013-01-01

    Social networking is a key benefit derived from participation in conferences that bind the ties of a professional community. Building social networks can lead to satisfactory experiences while furthering participants' long- and short-term career goals. Although investigations of social networking can lend insight into how to effectively engage individuals and groups within a professional cohort, this area has been largely overlooked in past research. The present study investigates the relationship between social networking and satisfaction with the 10th Biennial Conference of Research on the Colorado Plateau using structural equation modelling. Results partially support the hypothesis that three dimensions of social networking – interpersonal connections, social cohesion, and secondary associations – positively contribute to the performance of various conference attributes identified in two focus group sessions. The theoretical and applied contributions of this paper shed light on the social systems formed within professional communities and resource allocation among service providers.

  11. Bridging and bonding interactions in higher education: social capital and students' academic and professional identity formation.

    PubMed

    Jensen, Dorthe H; Jetten, Jolanda

    2015-01-01

    It is increasingly recognized that graduates' achievements depend in important ways on their opportunities to develop an academic and a professional identity during their studies. Previous research has shown that students' socio-economic status (SES) and social capital prior to entering university affects their ability to obtain these identities in higher education. However, what is less well understood is whether social capital that is built during university studies shapes identity development, and if so, whether the social capital gained during university years impacts on academic and professional identity differently. In a qualitative study, we interviewed 26 Danish and 11 Australian university students about their social interaction experiences, their opportunities to develop bonding capital as well as bridging capital, and their academic and professional identity. Findings show that while bonding social capital with co-students facilitated academic identity formation, such social capital does not lead to professional identity development. We also found that the development of bridging social capital with educators facilitated students' professional identity formation. However, bonding social capital among students stood in the way of participating in bridging interaction with educators, thereby further hindering professional identity formation. Finally, while students' parental background did not affect the perceived difficulty of forming professional identity, there was a tendency for students from lower SES backgrounds to be more likely to make internal attributions while those from higher SES backgrounds were more likely to make external attributions for the failure to develop professional identity. Results point to the importance of creating opportunities for social interaction with educators at university because this facilitates the generation of bridging social capital, which, in turn, is essential for students' professional identity development. PMID:25762954

  12. Bridging and bonding interactions in higher education: social capital and students’ academic and professional identity formation

    PubMed Central

    Jensen, Dorthe H.; Jetten, Jolanda

    2015-01-01

    It is increasingly recognized that graduates’ achievements depend in important ways on their opportunities to develop an academic and a professional identity during their studies. Previous research has shown that students’ socio-economic status (SES) and social capital prior to entering university affects their ability to obtain these identities in higher education. However, what is less well understood is whether social capital that is built during university studies shapes identity development, and if so, whether the social capital gained during university years impacts on academic and professional identity differently. In a qualitative study, we interviewed 26 Danish and 11 Australian university students about their social interaction experiences, their opportunities to develop bonding capital as well as bridging capital, and their academic and professional identity. Findings show that while bonding social capital with co-students facilitated academic identity formation, such social capital does not lead to professional identity development. We also found that the development of bridging social capital with educators facilitated students’ professional identity formation. However, bonding social capital among students stood in the way of participating in bridging interaction with educators, thereby further hindering professional identity formation. Finally, while students’ parental background did not affect the perceived difficulty of forming professional identity, there was a tendency for students from lower SES backgrounds to be more likely to make internal attributions while those from higher SES backgrounds were more likely to make external attributions for the failure to develop professional identity. Results point to the importance of creating opportunities for social interaction with educators at university because this facilitates the generation of bridging social capital, which, in turn, is essential for students’ professional identity development. PMID:25762954

  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 messaging encryption; and g) Easy-to-use intuitive workflow.

  14. Self-Concept and Social Anxiety as Predictor Variables of Academic Performance of Spanish Adolescents with Divorced Parents

    ERIC Educational Resources Information Center

    Orgiles, Mireia; Johnson, Blair T.; Huedo-Medina, Tania B.; Espada, Jose P.

    2012-01-01

    Introduction: According to previous studies, when parents divorce it may increase the vulnerability of children to develop personal problems, such as lowering academic performance. This research examines the academic performance of Spanish children with divorced parents and its relation to academic self-concept and social anxiety. Method: The…

  15. Social Consequences of Academic Teaming in Middle School: The Influence of Shared Course Taking on Peer Victimization

    ERIC Educational Resources Information Center

    Echols, Leslie

    2015-01-01

    This study examined the influence of academic teaming (i.e., sharing academic classes with the same classmates) on the relationship between social preference and peer victimization among 6th-grade students in middle school. Approximately 1,000 participants were drawn from 5 middle schools that varied in their practice of academic teaming. A novel…

  16. Infectious Disease Modeling of Social Contagion in Networks

    E-print Network

    Hill, Alison Lynn

    Many behavioral phenomena have been found to spread interpersonally through social networks, in a manner similar to infectious diseases. An important difference between social contagion and traditional infectious diseases, ...

  17. Identity and Social Networks Among First Generation College Students 

    E-print Network

    Le, Huong Thi

    2012-10-19

    This thesis focuses on first generation college students and their unique social positions in social and institutional networks. First generation students are less likely to attend college than non-first generation ...

  18. Protecting attributes and contents in online social networks

    E-print Network

    Yang, Yuhao

    2014-12-31

    With the extreme popularity of online social networks, security and privacy issues become critical. In particular, it is important to protect user privacy without preventing them from normal socialization. User privacy in the context of data...

  19. Disentangling Social Networks inferred from Call Logs

    E-print Network

    Cebrian, Manuel; Kirkpatrick, Scott

    2010-01-01

    Analysis of an unusually detailed telephone call data set --- a month of nearly all mobile and landline phone calls placed during August 2005 the United Kingdom --- allows us to identify several different types of social networks that are formed, and relate them to different activities that generate them. We distinguish, among others, work-related and personal or leisure-focused activities and show that the networks they form have very different characteristics. Our principal tool for the analysis, k-core decomposition, shows that distinct distributions of connectivity are present in the two spheres, and that this differentiation affects dramatically the dynamics of information diffusion. Both differ from the simpler and more globally connected structure evident in communications data such as the Internet AS graph.

  20. Social network analysis realization and exploitation

    NASA Astrophysics Data System (ADS)

    Davenport, Jack H.; Nolan, James J.

    2015-05-01

    Intelligence analysts demand rapid information fusion capabilities to develop and maintain accurate situational awareness and understanding of dynamic enemy threats in asymmetric military operations. The ability to extract meaning in relationships between people, objects, and locations from a variety of unstructured text datasets is critical to proactive decision making. Additionally, the ability to automatically cluster text documents about entities and discover connections between those documents allows the analyst to navigate an extremely large collection of documents. Analysts also demand a temporal understanding of the extracted relationships between entities and connections between documents. We describe approaches to automatically realize the social networks via concept extraction, relationship extraction, and document connection algorithms; we also describe approaches to exploit the network by visualizing the results to the analyst such that changes over time are evident.

  1. Social network support for data delivery infrastructures

    E-print Network

    Sastry, Nishanth Ramakrishna

    2011-10-11

    to be connected with a single destination node or consumer over time. Note that even though multiple paths may form between a 12 CHAPTER 1. INTRODUCTION given pair of nodes, only one path needs to be completed for unicast data to be delivered between them. Thus... applications, including at the systems level, it may be relevant 22 CHAPTER 2. SOCIAL NETWORKS: AN OVERVIEW or useful to capture multiple modes of relationships or interaction. For example, email and instant messaging, when combined with phone call logs, could...

  2. Neural mechanisms tracking popularity in real-world social networks

    E-print Network

    Ochsner, Kevin

    in virtually all human groups and shape social interactions within them. Little is known, however, about how we in popularity reflect status inequalities that shape social interaction within virtually all human groups across Humans are a fundamentally social species, and the social networks in which we are embedded significantly

  3. The NFL Coaching Network: Analysis of the Social Network Among Professional Football Coaches

    E-print Network

    Jensen, David

    The NFL Coaching Network: Analysis of the Social Network Among Professional Football Coaches Andrew afast@cs.umass.edu, jensen@cs.umass.edu Abstract The interactions of professional football coaches and teams in the National Football League (NFL) form a complex social network. This network provides a great

  4. Navigating Social Networking and Social Media in School Psychology: Ethical and Professional Considerations in Training Programs

    ERIC Educational Resources Information Center

    Pham, Andy V.

    2014-01-01

    Social networking and social media have undoubtedly proliferated within the past decade, allowing widespread communication and dissemination of user-generated content and information. Some psychology graduate programs, including school psychology, have started to embrace social networking and media for instructional and training purposes; however,…

  5. The Effect of Social Interaction on Learning Engagement in a Social Networking Environment

    ERIC Educational Resources Information Center

    Lu, Jie; Churchill, Daniel

    2014-01-01

    This study investigated the impact of social interactions among a class of undergraduate students on their learning engagement in a social networking environment. Thirteen undergraduate students enrolled in a course in a university in Hong Kong used an Elgg-based social networking platform throughout a semester to develop their digital portfolios…

  6. NSF Proposal #00--Longitudinal Social Network Studies and Predictive Social Cohesion Theory

    E-print Network

    White, Douglas R.

    NSF Proposal #00-- Longitudinal Social Network Studies and Predictive Social Cohesion Theory years, Starting Date: July 1, 1999 ABSTRACT A new theory of social cohesion is developed for analysis of algorithms for large- network analysis. These sets are hypothesized to have greater cohesiveness related

  7. Novel Visualizations and Interactions for Social Networks Exploration

    NASA Astrophysics Data System (ADS)

    Riche, Nathalie Henry; Fekete, Jean-Daniel

    In the last decade, the popularity of social networking applications has dramatically increased. Social networks are collection of persons or organizations connected by relations. Members of Facebook listed as friends or persons connected by family ties in genealogical trees are examples of social networks. Today's web surfers are often part of many online social networks: they communicate in groups or forums on topics of interests, exchange emails with their friends and colleagues, express their ideas on public blogs, share videos on YouTube, exchange and comment photos on Flickr, participate to the edition of the online encyclopedia Wikipedia or contribute to daily news by collaborating to Wikinews or Agoravox.

  8. Social Networking—Another Breach In The Wall

    NASA Astrophysics Data System (ADS)

    Bamnote, Gajendra; Patil, Gajendra; Shejole, Amol

    2010-11-01

    With the increasing popularity of social networks like Facebook and MySpace, such sites have lately become the favourite destinations for spammers and attackers. Social networks have experienced complex social engineering attacks, massive spam and aggressive malware distribution in the recent past. This paper presents a practical case study of social engineering, malware distribution and phishing attacks against social networking sites that are identified over last few months. It is explained how private data of the users are exposed to attackers and how easily their privacy is compromised as a result of these attacks and their own careless behaviour.

  9. The Social Fabric of Elementary Schools: A Network Typology of Social Interaction among Teachers

    ERIC Educational Resources Information Center

    Moolenaar, Nienke M.; Sleegers, Peter J. C.; Karsten, Sjoerd; Daly, Alan J.

    2012-01-01

    While researchers are currently studying various forms of social network interaction among teachers for their impact on educational policy implementation and practice, knowledge on how various types of networks are interrelated is limited. The goal of this study is to understand the dimensionality that may underlie various types of social networks

  10. The Effect of Social and Token Economy Reinforcements on Academic Achievement of Students with Intellectual Disabilities

    PubMed Central

    Ashoori, Mohammad; Sereshki, Narges Adib

    2011-01-01

    Objective This study investigates the effect of social and token economy reinforcements on academic achievement of 9th grade boy students with intellectual disabilities in an experimental science class in Tehran Province. Method The method used for this study was experimental by pre-test, post- test with a control group. The boy students with intellectual disabilities from three junior high schools participated in this study. The sample consisted of thirty, 9th grade boy students with intellectual disabilities in the selected schools; the schools were chosen by the multi-stage cluster method. To measure the progress of students in the science class, a teacher made test and the Wechsler intelligence test for matching the groups for IQ were used. To ensure validity, the content validity criteria depended tests calculated by the Lashe method and teachers' perspective were used. The reliability coefficient was obtained by the reliability coefficient of related tests; the percent agreement method and the obtained data were analyzed using one-way variance analysis and Shefe prosecution test. Results The results showed that there was a significant increase in academic achievement of students with intellectual disabilities when using token economy than using social reinforcements compared with the control group. Also, when using social reinforcements, the academic achievement of students was more than the control group. Conclusion Token economy and social reinforcements increased the academic achievement of students with intellectual disabilities in the science class; and also the effect of token economy reinforcements was more than social reinforcements on the subjects. PMID:22952517

  11. Social Capital and Academic Motivation among First-Generation Community College Students

    ERIC Educational Resources Information Center

    Moschetti, Roxanne Venus; Hudley, Cynthia

    2015-01-01

    Social capital, the value of a relationship that provides support and assistance in a given social situation (Stanton-Salazar, 2001), is a useful theory for understanding the experiences of low-income adolescents who are the first in their families to attend college. According to social capital theory, networks of relationships can help students…

  12. Classroom peer relationships and behavioral engagement in elementary school: the role of social network equity.

    PubMed

    Cappella, Elise; Kim, Ha Yeon; Neal, Jennifer W; Jackson, Daisy R

    2013-12-01

    Applying social capital and systems theories of social processes, we examine the role of the classroom peer context in the behavioral engagement of low-income students (N = 80) in urban elementary school classrooms (N = 22). Systematic child observations were conducted to assess behavioral engagement among second to fifth graders in the fall and spring of the same school year. Classroom observations, teacher and child questionnaires, and social network data were collected in the fall. Confirming prior research, results from multilevel models indicate that students with more behavioral difficulties or less academic motivation in the fall were less behaviorally engaged in the spring. Extending prior research, classrooms with more equitably distributed and interconnected social ties-social network equity-had more behaviorally engaged students in the spring, especially in classrooms with higher levels of observed organization (i.e., effective management of behavior, time, and attention). Moreover, social network equity attenuated the negative relation between student behavioral difficulties and behavioral engagement, suggesting that students with behavioral difficulties were less disengaged in classrooms with more equitably distributed and interconnected social ties. Findings illuminate the need to consider classroom peer contexts in future research and intervention focused on the behavioral engagement of students in urban elementary schools. PMID:24081319

  13. Community Discovery in Social Networks: Applications, Methods and Emerging Trends

    NASA Astrophysics Data System (ADS)

    Parthasarathy, S.; Ruan, Y.; Satuluri, V.

    Data sets originating from many different real world domains can be represented in the form of interaction networks in a very natural, concise and meaningful fashion. This is particularly true in the social context, especially given recent advances in Internet technologies and Web 2.0 applications leading to a diverse range of evolving social networks. Analysis of such networks can result in the discovery of important patterns and potentially shed light on important properties governing the growth of such networks.

  14. Internet gaming disorder, social network disorder and laterality: handedness relates to pathological use of social networks.

    PubMed

    Bouna-Pyrrou, Polyxeni; Mühle, Christiane; Kornhuber, Johannes; Lenz, Bernd

    2015-08-01

    The internet age bears new challenges that include health risks. It is agreed that excessive internet use may reach pathological levels. However, the concept of internet addiction lacks specificity and, therefore, warrants studies on its diagnostic and etiologic classification. This study was conducted to characterize the novel DSM-5 criteria for internet gaming disorder and the adapted criteria for the "social network disorder". Based on the established association of handedness and substance use disorders, we also explored whether internet use related to laterality. For this study, 3,287 volunteers participated in the online survey and gave particulars concerning their internet use in general, internet gaming and use of social networks, laterality markers (hand, foot, eye, ear, rotational preference in gymnastics, and head turning asymmetry) and health status. Of the participants, 1.1 % fulfilled the criteria for internet gaming disorder, and 1.8 % fulfilled the criteria for social network disorder. The applied criteria were highly correlated with the time spent on the respective internet activities (p < 4 × 10(-56)). The analyses of comorbidity and working hours support the thresholds of 5/9 criteria and ?30 h/week spent on the internet for the classification as pathological (p < 5 × 10(-2)). Moreover, we found that left-handedness related to more affirmed criteria and longer times spent on social networks (p ? 4 × 10(-2)). The provided criteria proved to be user-friendly, comprehensible and well accepted. The results contribute to a better understanding of pathological internet gaming and social network use and provide evidence that biological markers of substance use disorders are involved in internet addiction. PMID:25576300

  15. A Culturally Informed Model of Academic Well-Being for Latino Youth: The Importance of Discriminatory Experiences and Social Support

    ERIC Educational Resources Information Center

    DeGarmo, David S.; Martinez, Charles R., Jr.

    2006-01-01

    This study tested a culturally informed model of academic well-being for 278 Latino youth. We examined detrimental effects of discriminatory experiences and protective effects of social support on self-reported academic outcomes. Models specified main and buffering effects of social support and compared contributions of support provided by…

  16. Examining the Link between Preschool Social-Emotional Competence and First Grade Academic Achievement: The Role of Attention Skills

    ERIC Educational Resources Information Center

    Rhoades, Brittany L.; Warren, Heather K.; Domitrovich, Celene E.; Greenberg, Mark T.

    2011-01-01

    Recently, research has begun to identify cognitive and social-emotional predictors of early academic success. Yet few studies have examined the mechanisms by which children's social-emotional skills are associated with later academic success. The present study examines the associations between preschool emotion knowledge, kindergarten attention…

  17. Promoting Social and Academic Integration into Higher Education by First-Year Student Nurses: The APPL Project

    ERIC Educational Resources Information Center

    Fergy, Sue; Marks-Maran, Di; Ooms, Ann; Shapcott, Jean; Burke, Linda

    2011-01-01

    The Academic, Personal and Professional Learning (APPL) model of support for student nurses was developed and implemented as a pilot project in the Faculty of Health and Social Care Sciences of a university in response to a number of internal and external drivers. The common theme across these drivers was the enhancement of the social, academic

  18. Length of Study-Time Behaviour and Academic Achievement of Social Studies Education Students in the University of Uyo

    ERIC Educational Resources Information Center

    Ukpong, D. E.; George, I. N.

    2013-01-01

    This study investigated the length of study time behaviour and academic achievement of Social Studies Education students in the University of Uyo. The purpose was to determine the difference in the academic achievement of the long study time behaviour students and their short study time behaviour counterparts in Social Studies Education. The study…

  19. Where Is the Learning in Smaller Learning Communities? Academic Press, Social Support for Learning, and Academic Engagement in Smaller Learning Community Classrooms

    ERIC Educational Resources Information Center

    Fischer, Christopher; Bol, Linda; Pribesh, Shana; Nunnery, John

    2013-01-01

    The extent to which smaller learning communities' (SLCs) focus on academic press and strong social relationships affects academic engagement among 9th graders in urban high schools was investigated. Data were collected through classroom observations, student questionnaires, and focus groups with teachers. Data were analyzed using descriptive…

  20. 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…

  1. Local Nash equilibrium in social networks.

    PubMed

    Zhang, Yichao; Aziz-Alaoui, M A; Bertelle, Cyrille; Guan, Jihong

    2014-01-01

    Nash equilibrium is widely present in various social disputes. As of now, in structured static populations, such as social networks, regular, and random graphs, the discussions on Nash equilibrium are quite limited. In a relatively stable static gaming network, a rational individual has to comprehensively consider all his/her opponents' strategies before they adopt a unified strategy. In this scenario, a new strategy equilibrium emerges in the system. We define this equilibrium as a local Nash equilibrium. In this paper, we present an explicit definition of the local Nash equilibrium for the two-strategy games in structured populations. Based on the definition, we investigate the condition that a system reaches the evolutionary stable state when the individuals play the Prisoner's dilemma and snow-drift game. The local Nash equilibrium provides a way to judge whether a gaming structured population reaches the evolutionary stable state on one hand. On the other hand, it can be used to predict whether cooperators can survive in a system long before the system reaches its evolutionary stable state for the Prisoner's dilemma game. Our work therefore provides a theoretical framework for understanding the evolutionary stable state in the gaming populations with static structures. PMID:25169150

  2. Local Nash Equilibrium in Social Networks

    NASA Astrophysics Data System (ADS)

    Zhang, Yichao; Aziz-Alaoui, M. A.; Bertelle, Cyrille; Guan, Jihong

    2014-08-01

    Nash equilibrium is widely present in various social disputes. As of now, in structured static populations, such as social networks, regular, and random graphs, the discussions on Nash equilibrium are quite limited. In a relatively stable static gaming network, a rational individual has to comprehensively consider all his/her opponents' strategies before they adopt a unified strategy. In this scenario, a new strategy equilibrium emerges in the system. We define this equilibrium as a local Nash equilibrium. In this paper, we present an explicit definition of the local Nash equilibrium for the two-strategy games in structured populations. Based on the definition, we investigate the condition that a system reaches the evolutionary stable state when the individuals play the Prisoner's dilemma and snow-drift game. The local Nash equilibrium provides a way to judge whether a gaming structured population reaches the evolutionary stable state on one hand. On the other hand, it can be used to predict whether cooperators can survive in a system long before the system reaches its evolutionary stable state for the Prisoner's dilemma game. Our work therefore provides a theoretical framework for understanding the evolutionary stable state in the gaming populations with static structures.

  3. Local Nash Equilibrium in Social Networks

    PubMed Central

    Zhang, Yichao; Aziz-Alaoui, M. A.; Bertelle, Cyrille; Guan, Jihong

    2014-01-01

    Nash equilibrium is widely present in various social disputes. As of now, in structured static populations, such as social networks, regular, and random graphs, the discussions on Nash equilibrium are quite limited. In a relatively stable static gaming network, a rational individual has to comprehensively consider all his/her opponents' strategies before they adopt a unified strategy. In this scenario, a new strategy equilibrium emerges in the system. We define this equilibrium as a local Nash equilibrium. In this paper, we present an explicit definition of the local Nash equilibrium for the two-strategy games in structured populations. Based on the definition, we investigate the condition that a system reaches the evolutionary stable state when the individuals play the Prisoner's dilemma and snow-drift game. The local Nash equilibrium provides a way to judge whether a gaming structured population reaches the evolutionary stable state on one hand. On the other hand, it can be used to predict whether cooperators can survive in a system long before the system reaches its evolutionary stable state for the Prisoner's dilemma game. Our work therefore provides a theoretical framework for understanding the evolutionary stable state in the gaming populations with static structures. PMID:25169150

  4. Social Network, Social Support, and Risk of Incident Stroke: The Atherosclerosis Risk in Communities Study

    PubMed Central

    Nagayoshi, Mako; Everson-Rose, Susan A.; Iso, Hiroyasu; Mosley, Thomas H.; Rose, Kathryn M.; Lutsey, Pamela L.

    2014-01-01

    Background and Purpose Having a small social network and lack of social support have been associated with incident coronary heart disease, however epidemiologic evidence for incident stroke is limited. We assessed the longitudinal association of a small social network and lack of social support with risk of incident stroke, and evaluated whether the association was partly mediated by vital exhaustion and inflammation. Methods The Atherosclerosis Risk in Communities (ARIC) Study measured social network and social support in 13,686 men and women (mean, 57±5.7 years, 56% female, 24% black; 76% white) without a history of stroke. Social network was assessed by the 10-item Lubben Social Network Scale, and social support by a 16-item Interpersonal Support Evaluation List-Short Form (ISEL-SF). Results Over a median follow-up of 18.6-years, 905 incident strokes occurred. Relative to participants with a large social network, those with a small social network had a higher risk of stroke [HR (95% CI): 1.44 (1.02–2.04)] after adjustment for demographics, socioeconomic variables and marital status, behavioral risk factors and major stroke risk factors. Vital exhaustion, but not inflammation, partly mediated the association between a small social network and incident stroke. Social support was unrelated to incident stroke. Conclusions In this sample of US community-dwelling men and women, having a small social network was associated with excess risk of incident stroke. As with other cardiovascular conditions, having a small social network may be associated with a modestly increased risk of incident stroke. PMID:25139878

  5. A Sensemaking Approach to Visual Analytics of Attribute-Rich Social Networks

    ERIC Educational Resources Information Center

    Gou, Liang

    2012-01-01

    Social networks have become more complex, in particular considering the fact that elements in social networks are not only abstract topological nodes and links, but contain rich social attributes and reflecting diverse social relationships. For example, in a co-authorship social network in a scientific community, nodes in the social network, which…

  6. Topological effects of network structure on long-term social network dynamics in a wild mammal

    PubMed Central

    Ilany, Amiyaal; Booms, Andrew S.; Holekamp, Kay E.

    2015-01-01

    Social structure influences ecological processes such as dispersal and invasion, and affects survival and reproductive success. Recent studies have used static snapshots of social networks, thus neglecting their temporal dynamics, and focused primarily on a limited number of variables that might be affecting social structure. Here, instead we modelled effects of multiple predictors of social network dynamics in the spotted hyena, using observational data collected during 20 years of continuous field research in Kenya. We tested the hypothesis that the current state of the social network affects its long-term dynamics. We employed stochastic agent-based models that allowed us to estimate the contribution of multiple factors to network changes. After controlling for environmental and individual effects, we found that network density and individual centrality affected network dynamics, but that social bond transitivity consistently had the strongest effects. Our results emphasise the significance of structural properties of networks in shaping social dynamics. PMID:25975663

  7. Accountability for Academics and Social Responsibility through Service Learning

    ERIC Educational Resources Information Center

    Smith, David B.

    2005-01-01

    Middle school teachers are accountable for helping young adolescents master a daunting number of basic skills and concepts. On the other hand, they are also expected to help their students develop a social conscience during what is arguably the most egocentric stage of their social development. This article presents a service learning project that…

  8. Social Networks, Cognition and Culture Douglas R. White Social_Nets_Cog-June2010a.doc

    E-print Network

    White, Douglas R.

    1 Social Networks, Cognition and Culture Douglas R. White Social_Nets_Cog-June2010a.doc Blackwell of social network interactions and contexts. Elements of network structure may thus be perceived of the relation between social networks, cognition and culture. Approaches and findings are explored in a series

  9. Social Networks in the Classroom: Personality Factors as Antecedents of Student Social Capital

    ERIC Educational Resources Information Center

    Seevers, Matthew T.; Johnson, Bryan R.; Darnold, Todd C.

    2015-01-01

    This study examines personality factors as antecedents of student social capital. We hypothesize relationships between two constructs taken from the five-factor model of personality (agreeableness and extraversion) and two variables that reflect a student's social capital (quantity of ties and strength of ties) in an academic setting. Analysis of…

  10. 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…

  11. Social network models predict movement and connectivity in ecological landscapes.

    PubMed

    Fletcher, Robert J; Acevedo, Miguel A; Reichert, Brian E; Pias, Kyle E; Kitchens, Wiley M

    2011-11-29

    Network analysis is on the rise across scientific disciplines because of its ability to reveal complex, and often emergent, patterns and dynamics. Nonetheless, a growing concern in network analysis is the use of limited data for constructing networks. This concern is strikingly relevant to ecology and conservation biology, where network analysis is used to infer connectivity across landscapes. In this context, movement among patches is the crucial parameter for interpreting connectivity but because of the difficulty of collecting reliable movement data, most network analysis proceeds with only indirect information on movement across landscapes rather than using observed movement to construct networks. Statistical models developed for social networks provide promising alternatives for landscape network construction because they can leverage limited movement information to predict linkages. Using two mark-recapture datasets on individual movement and connectivity across landscapes, we test whether commonly used network constructions for interpreting connectivity can predict actual linkages and network structure, and we contrast these approaches to social network models. We find that currently applied network constructions for assessing connectivity consistently, and substantially, overpredict actual connectivity, resulting in considerable overestimation of metapopulation lifetime. Furthermore, social network models provide accurate predictions of network structure, and can do so with remarkably limited data on movement. Social network models offer a flexible and powerful way for not only understanding the factors influencing connectivity but also for providing more reliable estimates of connectivity and metapopulation persistence in the face of limited data. PMID:22084081

  12. Social network models predict movement and connectivity in ecological landscapes

    PubMed Central

    Fletcher, Robert J.; Acevedo, Miguel A.; Reichert, Brian E.; Pias, Kyle E.; Kitchens, Wiley M.

    2011-01-01

    Network analysis is on the rise across scientific disciplines because of its ability to reveal complex, and often emergent, patterns and dynamics. Nonetheless, a growing concern in network analysis is the use of limited data for constructing networks. This concern is strikingly relevant to ecology and conservation biology, where network analysis is used to infer connectivity across landscapes. In this context, movement among patches is the crucial parameter for interpreting connectivity but because of the difficulty of collecting reliable movement data, most network analysis proceeds with only indirect information on movement across landscapes rather than using observed movement to construct networks. Statistical models developed for social networks provide promising alternatives for landscape network construction because they can leverage limited movement information to predict linkages. Using two mark-recapture datasets on individual movement and connectivity across landscapes, we test whether commonly used network constructions for interpreting connectivity can predict actual linkages and network structure, and we contrast these approaches to social network models. We find that currently applied network constructions for assessing connectivity consistently, and substantially, overpredict actual connectivity, resulting in considerable overestimation of metapopulation lifetime. Furthermore, social network models provide accurate predictions of network structure, and can do so with remarkably limited data on movement. Social network models offer a flexible and powerful way for not only understanding the factors influencing connectivity but also for providing more reliable estimates of connectivity and metapopulation persistence in the face of limited data. PMID:22084081

  13. Social network models predict movement and connectivity in ecological landscapes

    USGS Publications Warehouse

    Fletcher, Robert J., Jr.; Acevedo, M.A.; Reichert, Brian E.; Pias, Kyle E.; Kitchens, Wiley M.

    2011-01-01

    Network analysis is on the rise across scientific disciplines because of its ability to reveal complex, and often emergent, patterns and dynamics. Nonetheless, a growing concern in network analysis is the use of limited data for constructing networks. This concern is strikingly relevant to ecology and conservation biology, where network analysis is used to infer connectivity across landscapes. In this context, movement among patches is the crucial parameter for interpreting connectivity but because of the difficulty of collecting reliable movement data, most network analysis proceeds with only indirect information on movement across landscapes rather than using observed movement to construct networks. Statistical models developed for social networks provide promising alternatives for landscape network construction because they can leverage limited movement information to predict linkages. Using two mark-recapture datasets on individual movement and connectivity across landscapes, we test whether commonly used network constructions for interpreting connectivity can predict actual linkages and network structure, and we contrast these approaches to social network models. We find that currently applied network constructions for assessing connectivity consistently, and substantially, overpredict actual connectivity, resulting in considerable overestimation of metapopulation lifetime. Furthermore, social network models provide accurate predictions of network structure, and can do so with remarkably limited data on movement. Social network models offer a flexible and powerful way for not only understanding the factors influencing connectivity but also for providing more reliable estimates of connectivity and metapopulation persistence in the face of limited data.

  14. Social networks, social support mechanisms, and quality of life after breast cancer diagnosis

    PubMed Central

    Kroenke, Candyce H; Kwan, Marilyn L.; Neugut, Alfred I.; Ergas, Isaac J.; Wright, Jaime D.; Caan, Bette J.; Hershman, Dawn; Kushi, Lawrence H.

    2013-01-01

    Purpose We examined mechanisms through which social relationships influence quality of life (QOL) in breast cancer survivors. Methods This study included 3,139 women from the Pathways Study who were diagnosed with breast cancer from 2006-2011 and provided data on social networks (presence of spouse or intimate partner, religious/social ties, volunteering, and numbers of close friends and relatives), social support (tangible, emotional/informational, affection, positive social interaction), and quality of life (QOL), measured by the FACT-B, approximately two months post-diagnosis. We used logistic models to evaluate associations between social network size, social support, and lower vs. higher than median QOL scores. We further stratified by stage at diagnosis and treatment. Results In multivariate-adjusted analyses, women who were characterized as socially isolated had significantly lower FACT-B (OR=2.18, 95%CI:1.72-2.77), physical well-being (WB) (OR=1.61, 95%CI:1.27-2.03), functional WB (OR=2.08, 95%CI:1.65-2.63), social WB (OR=3.46, 95%CI:2.73-4.39), and emotional WB (OR=1.67, 95%CI:1.33-2.11) scores and higher breast cancer symptoms (OR=1.48, 95%CI:1.18-1.87), compared with socially integrated women. Each social network member independently predicted higher QOL. Simultaneous adjustment for social networks and social support partially attenuated associations between social networks and QOL. The strongest mediator and type of social support that was most predictive of QOL outcomes was “positive social interaction”. However, each type of support was important depending on outcome, stage, and treatment status. Conclusions Larger social networks and greater social support were related to higher QOL after a diagnosis of breast cancer. Effective social support interventions need to evolve beyond social-emotional interventions and need to account for disease severity and treatment status. PMID:23657404

  15. 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…

  16. The Importance of Networking in the Academic and Professional Experiences of Racial Minority Students in the USA

    ERIC Educational Resources Information Center

    Davis, Dannielle Joy; Warfield, Markeba

    2011-01-01

    Through examination of the experiences of minority undergraduate doctoral aspirants in the United States, this study points to the importance of academic and professional influences of networking, as well as its role in the academic attainment and professional experiences of underrepresented groups in academe. The findings suggest that networking

  17. A last updating evolution model for online social networks

    NASA Astrophysics Data System (ADS)

    Bu, Zhan; Xia, Zhengyou; Wang, Jiandong; Zhang, Chengcui

    2013-05-01

    As information technology has advanced, people are turning to electronic media more frequently for communication, and social relationships are increasingly found on online channels. However, there is very limited knowledge about the actual evolution of the online social networks. In this paper, we propose and study a novel evolution network model with the new concept of “last updating time”, which exists in many real-life online social networks. The last updating evolution network model can maintain the robustness of scale-free networks and can improve the network reliance against intentional attacks. What is more, we also found that it has the “small-world effect”, which is the inherent property of most social networks. Simulation experiment based on this model show that the results and the real-life data are consistent, which means that our model is valid.

  18. STor: Social Network based Anonymous Communication in Tor

    E-print Network

    Zhou, Peng; Chen, Ang; Chang, Rocky K C

    2011-01-01

    Anonymity networks hide user identities with the help of relayed anonymity routers. However, the state-of-the-art anonymity networks do not provide an effective trust model. As a result, users cannot circumvent malicious or vulnerable routers, thus making them susceptible to malicious router based attacks (e.g., correlation attacks). In this paper, we propose a novel social network based trust model to help anonymity networks circumvent malicious routers and obtain secure anonymity. In particular, we design an input independent fuzzy model to determine trust relationships between friends based on qualitative and quantitative social attributes, both of which can be readily obtained from existing social networks. Moreover, we design an algorithm for propagating trust over an anonymity network. We integrate these two components in STor, a novel social network based Tor. We have implemented STor by modifying the Tor's source code and conducted experiments on PlanetLab to evaluate the effectiveness of STor. Both s...

  19. Assembly effect of groups in online social networks

    NASA Astrophysics Data System (ADS)

    Fan, W.; Yeung, K. H.; Wong, K. Y.

    2013-03-01

    Due to the popularity and growth of online social networks, security in these networks becomes a critical problem. Previous works have proved that a virus can spread effectively in social networks. In this paper, groups in social networks are studied. We notice that groups on social network services sites can assemble people with similar characteristics, which may promote virus propagation in these networks. After our analysis, it is found that the use of groups can shorten the distance among users, and hence it would cause faster virus spread. We propose a virus propagation model and simulate it in a group network to show the assembly effect of groups. Our result shows that even with only one random attack, a virus can still spread rapidly, and the direct contact among group members is the reason for fast spreading.

  20. SM: Enabling Efficient Offline Access to Online Social Media and Social Networks

    E-print Network

    Venkatasubramanian, Nalini

    O2 SM: Enabling Efficient Offline Access to Online Social Media and Social Networks Ye Zhao1 , Ngoc media access on mobile devices, and propose an Offline Online Social Media (O2 SM) Middle- ware to: (i) rank the social media streams based the probability that a given user views a given content item

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

    E-print Network

    Bader, David A.

    , such as commercial proclivities, political leanings, and propensity for violence. Social media provide tremendous problem is the sheer amount of data available in social media. For example, the social media aggregation the growing corpus of social media. Social media provides staggering amounts of data. Extracting knowledge

  2. Close Communities in Social Networks: Boroughs and 2-Clubs

    E-print Network

    Laan, Steven; Mokken, Robert J

    2015-01-01

    The structure of close communication, contacts and association in social networks is studied in the form of maximal subgraphs of diameter 2 (2-clubs), corresponding to three types of close communities: hamlets, social circles and coteries. The concept of borough of a graph is defined and introduced. Each borough is a chained union of 2-clubs of the network and any 2-club of the network belongs to one borough. Thus the set of boroughs of a network, together with the 2-clubs held by them, are shown to contain the structure of close communication in a network. Applications are given with examples from real world network data.

  3. Talking about Writing: Culturally and Linguistically Diverse Adolescents' Socialization into Academic Literacy

    ERIC Educational Resources Information Center

    Gilliland, Elizabeth A.

    2012-01-01

    This dissertation describes and analyzes the academic language socialization of culturally and linguistically diverse adolescents through a multi-case ethnographic study of high school writing instruction in California. I argue that there is a significant gap between the norms for writing in English language development classes and those in the…

  4. Teacher: Students' Interpersonal Relationships and Students' Academic Achievements in Social Studies

    ERIC Educational Resources Information Center

    Fan, F. A.

    2012-01-01

    Background: The classroom is a social system in which the teacher and the students interact as organizational members. The quality of classroom relations is dependent on the activities of both the instructor and the students. Several environmental conditions and circumstances often tend to either improve or depress the academic performances of…

  5. Virginia Tech Request for Update in Social Security Number for Academic Purposes

    E-print Network

    3/31/2014 Virginia Tech Request for Update in Social Security Number for Academic Purposes Office of the University Registrar (MC 0134) Student Services Building Suite 250, Virginia Tech 800 Washington Street SW: ______________________________________________________________________________________________ ______________________________________________________________________________________________ E-mail Address (Virginia Tech email preferred

  6. Development and Initial Validation of the Social and Academic Behavior Risk Screener for Elementary Grades

    ERIC Educational Resources Information Center

    Kilgus, Stephen P.; Chafouleas, Sandra M.; Riley-Tillman, T. Chris

    2013-01-01

    The purpose of the current investigation was to develop and provide initial validation of the "Social and Academic Behavior Risk Screener" (SABRS). Research was conducted in southeast elementary schools with 54 teacher and 243 student participants. An initial item pool was created through review of developmental research on the…

  7. Social Media and Academic Performance of Business Education Students in South-East Nigeria

    ERIC Educational Resources Information Center

    Nwazor, Joseph Chukwudi; Godwin-Maduike, Chinwe Constance

    2015-01-01

    The aim of the study was to analyze effects of social media on academic performance of business education students in south-east Nigeria. To achieve this, an instrument was designed and sent out to four universities in south-east Nigeria. Out of the 600 copies of the questionnaire distributed, 520 were completely filled and returned giving a…

  8. Communication Disorders in the School: Perspectives on Academic and Social Success an Introduction

    ERIC Educational Resources Information Center

    Thatcher, Karen L.; Fletcher, Kathryn; Decker, Blair

    2008-01-01

    The critical role of communication in schools cannot be understated. Communication skills are a necessity both in the academic and social atmosphere of the school environment. Unfortunately, there are a large number of children in the schools today identified with speech and language disorders. This special edition of "Psychology in the Schools"…

  9. The Relationship of Academic and Social Integration to Veterans' Educational Persistence

    ERIC Educational Resources Information Center

    Barnhart, Dan

    2011-01-01

    This study sought to identify the relationship between academic and social integration and persistence for veterans in two-year colleges. Bean and Metzner's (1985) attrition theory served as the theoretical background of investigation for including variables throughout the seven research questions. The Beginning Postsecondary Student survey…

  10. Addressing the Academic and Social Needs of Young Male Students through School-Based Mentoring

    ERIC Educational Resources Information Center

    Alston, Curtis E.

    2013-01-01

    This study addressed the problem within the U.S. public school system to sustainably meet the academic and social needs of its African American male students. The administrative team of the elementary school in this study desired an evaluation of a school-based male mentoring program that was designed to address these needs. The program, Gentlemen…

  11. Profiles of School Adaptation: Social, Behavioral and Academic Functioning in Sexually Abused Girls

    ERIC Educational Resources Information Center

    Daignault, Isabelle V.; Hebert, Martine

    2009-01-01

    Objectives: The short-term outcomes of child sexual abuse (CSA) on academic, behavioral and social adaptation at school were examined in order to: (1) document the proportion of sexually abused (SA) girls struggling in school and define the nature of their difficulties, (2) explore whether different profiles of school adaptation could be…

  12. Social and Emotional Learning in the Classroom: Promoting Mental Health and Academic Success

    ERIC Educational Resources Information Center

    Merrell, Kenneth W.; Gueldner, Barbara A.

    2010-01-01

    This highly engaging, eminently practical book provides essential resources for implementing social and emotional learning (SEL) in any K-12 setting. Numerous vivid examples illustrate the nuts and bolts of this increasingly influential approach to supporting students' mental health, behavior, and academic performance. Helpful reproducibles are…

  13. Relationships between Academic Stress, Social Support, Optimism-Pessimism and Self-Esteem in College Students

    ERIC Educational Resources Information Center

    Fernández-González, L.; González-Hernández, A.; Trianes-Torres, M. V.

    2015-01-01

    Introduction: This research aims to analyse how optimism, self-esteem and social support help to predict academic stress. Method: The sample consisted of 123 students aged 20 to 31 years old, from the 3rd Year in the Psychology Degree. Students completed the Rosenberg Self-esteem Scale, the Life Orientation Optimism Questionnaire (LOT-R), the…

  14. On the Borders: Adjusting to Academic, Social and Cultural Practices at an Australian University

    ERIC Educational Resources Information Center

    Buchanan, John; Ljungdahl, Lesley; Maher, Damian

    2015-01-01

    Adjustment to university is challenging for students as they navigate a path through new academic, social and cultural practices. Some may feel on the borders, marginalised by their background. Issues such as adjustment to university life, independence, performance expectations, establishing friendships, technological competence, cultural capital,…

  15. The Culture of Corporate Social Responsibility (CSR) in the Academic Framework: Some Literary Implications

    ERIC Educational Resources Information Center

    Mehta, Sandhya Rao

    2011-01-01

    Corporate Social Responsibility (CSR) is swiftly emerging as an integral part of corporate culture and discourse. Associated with notions of responsibility, accountability and community involvement, it remains privileged with concerns that increasingly define the new millennium. Less developed, however, is the relevance of CSR ideas to academic

  16. The Role of Classroom Quality in Ameliorating the Academic and Social Risks Associated with Difficult Temperament

    ERIC Educational Resources Information Center

    Curby, Timothy W.; Rudasill, Kathleen Moritz; Edwards, Taylor; Perez-Edgar, Koraly

    2011-01-01

    The present study examines the moderating role first grade classroom quality may have on the relations between children's difficult temperament (assessed in infancy) and their academic and social outcomes in early elementary school (first grade). Using data from the National Institute of Child Health and Human Development's Study of Early Child…

  17. Personal Self and Collective Self: When Academic Choices Depend on the Context of Social Comparison

    ERIC Educational Resources Information Center

    Chazal, Sebastien; Guimond, Serge; Darnon, Celine

    2012-01-01

    This research examines the impact of same-sex versus opposite-sex social comparisons on the perception of one's own abilities at school and subsequent reported marks and academic choices. During their final year, male and female high school students were asked to describe themselves either in comparison with boys in their class, in comparison with…

  18. Temperament and Social Problem Solving Competence in Preschool: Influences on Academic Skills in Early Elementary School

    ERIC Educational Resources Information Center

    Walker, Olga L.; Henderson, Heather A.

    2012-01-01

    The goals of the current study were to examine whether children's social problem solving (SPS) skills are a mechanism through which temperament influences later academic achievement and whether sex moderates these associations. The participants included 1117 children enrolled in the National Institute of Child Health and Human Development Study of…

  19. The Differential Effects of General Mental Ability and Emotional Intelligence on Academic Performance and Social Interactions

    ERIC Educational Resources Information Center

    Song, Lynda Jiwen; Huang, Guo-hua; Peng, Kelly Z.; Law, Kenneth S.; Wong, Chi-Sum; Chen, Zhijun

    2010-01-01

    This study considers the debate about whether emotional intelligence (EI) has incremental validity over and above traditional intelligence dimensions. We propose that EI and general mental abilities (GMA) differ in predicting academic performance and the quality of social interactions among college students. Using two college student samples, we…

  20. Self-Representations of Social and Academic Competence: Contextual Correlates in Middle Childhood

    ERIC Educational Resources Information Center

    Isabella, Russell A.; Diener, Marissa L.

    2010-01-01

    Self-representations of 1st-, 3rd-, and 5th-graders' social and academic competence were examined in relation to children's personal (grade/age); family (attachment to parents, marital conflict, anxiety related to conflict); and school (teacher appraisals) contexts. Children who reported higher levels of security of attachment to parents and lower…

  1. Social and Emotional Learning as a Catalyst for Academic Excellence. White Paper

    ERIC Educational Resources Information Center

    Marchesi, Antonio G.; Cook, Kimberly

    2012-01-01

    ICF International's white paper explores how implementation of social and emotional learning (SEL) has the potential to prepare students for workforce success and positively influence student engagement and academic performance while reducing dropout rates. Self-improvement and leadership development sections of bookstores are replete with texts…

  2. Children with ADHD and Depression: A Multisource, Multimethod Assessment of Clinical, Social, and Academic Functioning

    ERIC Educational Resources Information Center

    Blackman, Gabrielle L.; Ostrander, Rick; Herman, Keith C.

    2005-01-01

    Although ADHD and depression are common comorbidities in youth, few studies have examined this particular clinical presentation. To address method bias limitations of previous research, this study uses multiple informants to compare the academic, social, and clinical functioning of children with ADHD, children with ADHD and depression, and…

  3. The Enduring Predictive Significance of Early Maternal Sensitivity: Social and Academic Competence through Age 32 Years

    ERIC Educational Resources Information Center

    Raby, K. Lee; Roisman, Glenn I.; Fraley, R. Chris; Simpson, Jeffry A.

    2015-01-01

    This study leveraged data from the Minnesota Longitudinal Study of Risk and Adaptation (N = 243) to investigate the predictive significance of maternal sensitivity during the first 3 years of life for social and academic competence through age 32 years. Structural model comparisons replicated previous findings that early maternal sensitivity…

  4. Computer Science Majors: Sex Role Orientation, Academic Achievement, and Social Cognitive Factors

    ERIC Educational Resources Information Center

    Brown, Chris; Garavalia, Linda S.; Fritts, Mary Lou Hines; Olson, Elizabeth A.

    2006-01-01

    This study examined the sex role orientations endorsed by 188 male and female students majoring in computer science, a male-dominated college degree program. The relations among sex role orientation and academic achievement and social cognitive factors influential in career decision-making self-efficacy were explored. Findings revealed that…

  5. Integrating a Social Behavior Intervention during Small Group Academic Instruction Using a Total Group Criterion Intervention

    ERIC Educational Resources Information Center

    Rodriguez, Billie Jo; Anderson, Cynthia M.

    2014-01-01

    Total group contingencies, a variation of interdependent group contingencies, provide educators with an efficient and effective mechanism to improve social behavior and increase academic skills. Their utility has not been examined in small educational groups. This is unfortunate as supplemental instruction frequently is delivered in small group…

  6. Social Positioning, Participation, and Second Language Learning: Talkative Students in an Academic ESL Classroom

    ERIC Educational Resources Information Center

    Kayi-Aydar, Hayriye

    2014-01-01

    Guided by positioning theory and poststructural views of second language learning, the two descriptive case studies presented in this article explored the links between social positioning and the language learning experiences of two talkative students in an academic ESL classroom. Focusing on the macro- and micro-level contexts of communication,…

  7. Critical Links: Learning in the Arts and Student Academic and Social Development.

    ERIC Educational Resources Information Center

    Deasy, Richard J., Ed.

    Two purposes of this compendium are: (1) to recommend to researchers and funders of research promising lines of inquiry and study suggested by recent, strong studies of the academic and social effects of learning in the arts; and (2) to provide designers of arts education curriculum and instruction with insights found in the research that suggest…

  8. Patterns of Early Reading and Social Skills Associated with Academic Success in Elementary School

    ERIC Educational Resources Information Center

    Cooper, Brittany Rhoades; Moore, Julia E.; Powers, C. J.; Cleveland, Michael; Greenberg, Mark T.

    2014-01-01

    Research Findings: Researchers and policymakers emphasize that early childhood is a critical developmental stage with the potential to impact academic and social-emotional outcomes (G. Conti & J. J. Heckman, 2012; J. J. Heckman, 2012; R. Murnane, I. Sawhill, & C. Snow, 2012). Although there is substantial evidence that children's…

  9. 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…

  10. Relation of Social-Cognitive Factors to Academic Satisfaction in Engineering Students

    ERIC Educational Resources Information Center

    Lent, Robert W.; Singley, Daniel; Sheu, Hung-Bin; Schmidt, Janet A.; Schmidt, Linda C.

    2007-01-01

    Lent (2004) posited a model of domain-specific and overall life satisfaction in which social-cognitive variables (self-efficacy, outcome expectations, environmental supports, and perceived goal progress) play key roles. In this study, the authors examined the relation of these variables to academic satisfaction. Participants were 153 engineering…

  11. Parent Involvement and Children's Academic and Social Development in Elementary School

    ERIC Educational Resources Information Center

    El Nokali, Nermeen E.; Bachman, Heather J.; Votruba-Drzal, Elizabeth

    2010-01-01

    Data from the National Institute of Child Health and Human Development (NICHD) Study of Early Childcare and Youth Development (N = 1,364) were used to investigate children's trajectories of academic and social development across 1st, 3rd, and 5th grades. Hierarchical linear modeling was used to examine within- and between-child associations among…

  12. Success in Higher Education: The Challenge to Achieve Academic Standing and Social Position

    ERIC Educational Resources Information Center

    Life, James

    2015-01-01

    When students look at their classmates in the classroom, consciously or unconsciously, they see competitors both for academic recognition and social success. How do they fit in relation to others and how do they succeed in achieving both? Traditional views on the drive to succeed and the fear of failure are well known as motivators for achieving…

  13. Sluggish Cognitive Tempo among Young Adolescents with ADHD: Relations to Mental Health, Academic, and Social Functioning

    ERIC Educational Resources Information Center

    Becker, Stephen P.; Langberg, Joshua M.

    2013-01-01

    Objective: This study investigated the role of sluggish cognitive tempo (SCT) in relation to externalizing and internalizing mental health problems, academic functioning, and social functioning among young adolescents with attention-deficit/hyperactivity disorder (ADHD). Method: In all, 57 youth ages 10 to 14 participated in the study. Parents…

  14. Parenting, Child Behavior, and Academic and Social Functioning: Does Ethnicity Make a Difference?

    ERIC Educational Resources Information Center

    Bae, Hyo; Hopkins, Joyce; Gouze, Karen R.; Lavigne, John V.

    2014-01-01

    Background: Most research on the relation between parenting behaviors and child outcomes has not focused on cross-ethnic variation in these relations. Objective: This study examined if ethnicity moderates associations between parenting, child agency/persistence, and child academic achievement and social competence. Design: Participants included…

  15. Perceived Academic Control: Mediating the Effects of Optimism and Social Support on College Students' Psychological Health

    ERIC Educational Resources Information Center

    Ruthig, Joelle C.; Haynes, Tara L.; Stupnisky, Robert H.; Perry, Raymond P.

    2009-01-01

    The first year of college presents numerous challenges experienced as overwhelming by some freshmen who may become overly stressed and depressed. This longitudinal study examined perceived academic control (PAC) as a mediator of optimism and social support's buffering effects on freshman students' psychological health. Multiple regressions…

  16. Japanese Exchange Students' Academic and Social Struggles at an American University

    ERIC Educational Resources Information Center

    Sato, Takahiro; Hodge, Samuel R.

    2015-01-01

    The purpose of this study was to identify and analyze the views of exchange students from Asia about their academic and social experiences at an American university. The participants were eight exchange students from Japan (four men and four women). This study was descriptive-qualitative (Patton, 2002). The data sources were a demographic survey…

  17. Social Cognitive Predictors of Mexican American College Students' Academic and Life Satisfaction

    ERIC Educational Resources Information Center

    Ojeda, Lizette; Flores, Lisa Y.; Navarro, Rachel L.

    2011-01-01

    In this study, we used Lent's (2004) social cognitive model of well being to examine the academic and life satisfaction of 457 Mexican American college students attending a Hispanic-Serving Institution. Using structural equation modeling, results indicated that the model provided a good fit to the data. Specifically, we found positive relations…

  18. Applying Social Cognitive Theory to Academic Advising to Assess Student Learning Outcomes

    ERIC Educational Resources Information Center

    Erlich, Richard J.; Russ-Eft, Darlene

    2011-01-01

    Review of social cognitive theory constructs of self-efficacy and self-regulated learning is applied to academic advising for the purposes of assessing student learning. A brief overview of the history of student learning outcomes in higher education is followed by an explanation of self-efficacy and self-regulated learning constructs and how they…

  19. Academic Achievement, Perfectionism and Social Support as Predictors of Test Anxiety

    ERIC Educational Resources Information Center

    Yildirim, Ibrahim; Genctanirim, Dilek; Yalcin, Ilhan; Baydan, Yaprak

    2008-01-01

    This study examined likelihood of high school students' gender, levels of academic achievement, perfectionism and perceived social support in predicting their degree of test anxiety. Participants were 505 students from high schools in the Ankara metropolitan area. The Test Anxiety Inventory, Multidimensional Perfectionism Scale and Perceived…

  20. The Power of Social and Motivational Relationships for Test-Anxious Adolescents' Academic Self-Regulation

    ERIC Educational Resources Information Center

    Raufelder, Diana; Hoferichter, Frances; Schneeweiss, David; Wood, Megan A.

    2015-01-01

    Based on cognitive evaluation theory (CET) and organismic integration theory (OIT)--both sub-theories of self-determination theory (SDT)--the present study examined whether the academic self-regulation of youth with test anxiety can be strengthened through social and motivational relationships with peers and teachers. This study employed a large…

  1. Emergence, Evolution and Scaling of Online Social Networks

    PubMed Central

    Wang, Le-Zhi; Huang, Zi-Gang; Rong, Zhi-Hai; Wang, Xiao-Fan; Lai, Ying-Cheng

    2014-01-01

    Online social networks have become increasingly ubiquitous and understanding their structural, dynamical, and scaling properties not only is of fundamental interest but also has a broad range of applications. Such networks can be extremely dynamic, generated almost instantaneously by, for example, breaking-news items. We investigate a common class of online social networks, the user-user retweeting networks, by analyzing the empirical data collected from Sina Weibo (a massive twitter-like microblogging social network in China) with respect to the topic of the 2011 Japan earthquake. We uncover a number of algebraic scaling relations governing the growth and structure of the network and develop a probabilistic model that captures the basic dynamical features of the system. The model is capable of reproducing all the empirical results. Our analysis not only reveals the basic mechanisms underlying the dynamics of the retweeting networks, but also provides general insights into the control of information spreading on such networks. PMID:25380140

  2. Unveiling Facebook: A Measurement Study of Social Network Based Applications

    E-print Network

    Chuah, Chen-Nee

    Unveiling Facebook: A Measurement Study of Social Network Based Applications Atif Nazir, Saqib Raza social networking sites such as Facebook and MyS- pace have become increasingly popular, with close to 500 million users as of August 2008. The introduction of the Facebook Developer Platform and Open

  3. Dynamic social networks promote cooperation in experiments with humans

    E-print Network

    Tesfatsion, Leigh

    Dynamic social networks promote cooperation in experiments with humans David G. Randa,b,1 , Samuel October 18, 2011 (received for review May 23, 2011) Human populations are both highly cooperative and highly organized. Human interactions are not random but rather are structured in social networks

  4. Trend Mining in Social Networks: From Trend Identification to Visualisation

    E-print Network

    Coenen, Frans

    Science, University of Liverpool, Liverpool, UK (2) Graduate School of Information Sciences, HiroshimaTrend Mining in Social Networks: From Trend Identification to Visualisation Puteri N.E. Nohuddin1 and National Centre for Zoonosis Research, Leahurst, Neston, UK Abstract: A four stage social network trend

  5. A New Addiction for Teacher Candidates: Social Networks

    ERIC Educational Resources Information Center

    Cam, Emre; Isbulan, Onur

    2012-01-01

    With the transition to being a knowledge-based society, the internet usage has become an irreplaceable part of life. As socials networks have come into our lives, the internet usage has taken a different dimension. People can affiliate to social networks in order to make friends, exchange information, find partners, and to play games. The process…

  6. A Social Network Analysis of Student Retention Using Archival Data

    ERIC Educational Resources Information Center

    Eckles, James E.; Stradley, Eric G.

    2012-01-01

    This study attempts to determine if a relationship exists between first-to-second-year retention and social network variables for a cohort of first-year students at a small liberal arts college. The social network is reconstructed using not survey data as is most common, but rather using archival data from a student information system. Each…

  7. Social Network Analysis to Evaluate an Interdisciplinary Research Center

    ERIC Educational Resources Information Center

    Aboelela, Sally W.; Merrill, Jacqueline A.; Carley, Kathleen M.; Larson, Elaine

    2007-01-01

    We sought to examine the growth of an interdisciplinary center using social network analysis techniques. Specific aims were to examine the patterns of growth and interdisciplinary connectedness of the Center and to identify the social network characteristics of its productive members. The setting for this study was The Center for Interdisciplinary…

  8. Unethical Behaviours Preservice Teachers Encounter on Social Networks

    ERIC Educational Resources Information Center

    Deveci Topal, Arzu; Kolburan Gecer, Aynur

    2015-01-01

    The development of web 2.0 technology has resulted in an increase in internet sharing. The scope of this study is social networking, which is one of the web 2.0 tools most heavily used by internet users. In this paper, the unethical behaviours that preservice teachers encounter on social networks and the ways to deal with these problems are…

  9. Scholars and Faculty Members' Lived Experiences in Online Social Networks

    ERIC Educational Resources Information Center

    Veletsianos, George; Kimmons, Royce

    2013-01-01

    Research into faculty members' use of technology and social networking sites has largely focused upon pedagogical practice, at the expense of understanding user experiences with these technologies. Through phenomenological interviews with three faculty members, we investigate their lived experiences with social networking sites. Results point to a…

  10. The Buzz on Campus: Social Networking Takes Hold

    ERIC Educational Resources Information Center

    Violino, Bob

    2009-01-01

    This article talks about the latest trend in education, which is social networking. As this phenomenon continues to grow, community colleges are getting into the act, launching online initiatives and harnessing the technology to communicate, promote, and conduct important school business. School administrators believe that social networking can…

  11. The Social Networking Arena: Battle of the Sexes

    ERIC Educational Resources Information Center

    Clipson, Timothy W.; Wilson, S. Ann; DuFrene, Debbie D.

    2012-01-01

    Social networking via texting, Facebook, Twitter, and similar media is enormously popular with students, though it often leads to communication challenges along gender lines. Research supports the fact that men and women have divergent expectations for social networking and use it differently. Students can benefit from classroom experiences that…

  12. Social Networks and Aggressive Behaviour in Chinese Children

    ERIC Educational Resources Information Center

    Xu, Yiyuan; Farver, Jo Ann M.; Schwartz, David; Chang, Lei

    2004-01-01

    This exploratory study investigated Mainland Chinese children's social networks and peer group affiliations with a particular emphasis on their aggressive behaviour. The participants were 294 elementary school students in Tianjin, P. R. China (mean age 11.5 years; 161 boys). Social network analysis identified relatively large and gender-specific…

  13. Identity Practices of Multilingual Writers in Social Networking Spaces

    ERIC Educational Resources Information Center

    Chen, Hsin-I

    2013-01-01

    This study examines the literacy practices of two multilingual writers in social networking communities. The findings show that the multilingual writers explored and reappropriated symbolic resources afforded by the social networking site as they aligned themselves with particular collective and personal identities at local and global levels.…

  14. Pharmaceutical Drugs Chatter on Online Social Networks Matthew T. Wileya

    E-print Network

    Hristidis, Vagelis

    Pharmaceutical Drugs Chatter on Online Social Networks Matthew T. Wileya , Canghong Jinb* , Vagelis Drugs, Frequent Itemsets. 1. Introduction #12;Numerous Online Social Networks (OSNs)1 host Medicine 2 andconfirmedthat online drug reviews serve their purpose ­ i.e. users discuss medications and their effecton

  15. An Organizational Framework of Personal Health Records for Social Networks

    ERIC Educational Resources Information Center

    Hasan, Syed Omair

    2009-01-01

    This work proposes an organizational framework for creating a community to share personal health record (PHR) information in the form of a Health Records Social Network (HRSN). The work builds upon existing social network community concepts as well as the existing Systemized Nomenclature of Medicine (SNOMED) model used by the medical community and…

  16. Competition for Content Spread over Multiple Social Networks

    E-print Network

    Kumar, Anurag

    Competition for Content Spread over Multiple Social Networks Srinivasan Venkatramanan and Anurag Kumar Abstract--We consider the competition between two competing content creators who can reach out games [6], [7], [8] to study competition between content creators on a social network. One aspect

  17. Potential of Social Networking Sites for Distance Education Student Engagement

    ERIC Educational Resources Information Center

    Lester, Jaime; Perini, Michael

    2010-01-01

    This chapter explores the potential of social networking sites for increasing student engagement for distance education learners. The authors present a modified student engagement model with a focus on the integration of technology, specifically social networking sites for community college distance education learners. The chapter concludes with…

  18. Are Social Networking Websites Educational? Information Capsule. Volume 0909

    ERIC Educational Resources Information Center

    Blazer, Christie

    2009-01-01

    More and more school districts across the country are joining social networking sites, such as Facebook and MySpace. This Information Capsule discusses the frequency with which school districts are using social networking sites, how districts are using the sites, and potential drawbacks associated with their use. Issues for districts to consider…

  19. Teachers Beware! The Dark Side of Social Networking

    ERIC Educational Resources Information Center

    Belch, Harry Ess

    2012-01-01

    Think teachers can post what they want on their own time? Think again. Many have lost their jobs over social networking gaffes in recent years. In this article, the author shares what he has learned about how school districts cope with teachers and online social networking sites, and offers recommendations to teachers who want to have an online…

  20. Physical Proximity and Spreading in Dynamic Social Networks

    E-print Network

    Stopczynski, Arkadiusz; Lehmann, Sune

    2015-01-01

    Most infectious diseases spread on a dynamic network of human interactions. Recent studies of social dynamics have provided evidence that spreading patterns may depend strongly on detailed micro-dynamics of the social system. We have recorded every single interaction within a large population, mapping out---for the first time at scale---the complete proximity network for a densely-connected system. Here we show the striking impact of interaction-distance on the network structure and dynamics of spreading processes. We create networks supporting close (intimate network, up to ~1m) and longer distance (ambient network, up to ~10m) modes of transmission. The intimate network is fragmented, with weak ties bridging densely-connected neighborhoods, whereas the ambient network supports spread driven by random contacts between strangers. While there is no trivial mapping from the micro-dynamics of proximity networks to empirical epidemics, these networks provide a telling approximation of droplet and airborne modes o...