These are representative sample records from Science.gov related to your search topic.
For comprehensive and current results, perform a real-time search at Science.gov.
1

Instrumental variables estimates of peer effects in social networks.  

PubMed

Estimating peer effects with observational data is very difficult because of contextual confounding, peer selection, simultaneity bias, and measurement error, etc. In this paper, I show that instrumental variables (IVs) can help to address these problems in order to provide causal estimates of peer effects. Based on data collected from over 4000 students in six middle schools in China, I use the IV methods to estimate peer effects on smoking. My design-based IV approach differs from previous ones in that it helps to construct potentially strong IVs and to directly test possible violation of exogeneity of the IVs. I show that measurement error in smoking can lead to both under- and imprecise estimations of peer effects. Based on a refined measure of smoking, I find consistent evidence for peer effects on smoking. If a student's best friend smoked within the past 30 days, the student was about one fifth (as indicated by the OLS estimate) or 40 percentage points (as indicated by the IV estimate) more likely to smoke in the same time period. The findings are robust to a variety of robustness checks. I also show that sharing cigarettes may be a mechanism for peer effects on smoking. A 10% increase in the number of cigarettes smoked by a student's best friend is associated with about 4% increase in the number of cigarettes smoked by the student in the same time period. PMID:25592943

An, Weihua

2015-03-01

2

Social Networking? Secure Networking?  

E-print Network

of social networking in the workplace A nurse be able to show a patient the best consumer education videosSocial Networking? Secure Networking? Teaching & Learning Technology Roundtable February 2010 #12 profile for your personal friends vs. professional friends? · What kind of time management strategies do

Chapman, Michael S.

3

Semantic Networks and Social Networks  

ERIC Educational Resources Information Center

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…

Downes, Stephen

2005-01-01

4

Connectibles : tangible social networking  

E-print Network

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 ...

Kalanithi, Jeevan James

2007-01-01

5

The Social Strategy Game Resource Competition within Female Social Networks  

E-print Network

The Social Strategy Game Resource Competition within Female Social Networks among Small concerning dyadic social relationships and demographic data were collected to identify variables influencing with members of their social network and with those who were designated as cooperative helpers or as close kin

Gurven, Michael

6

Computer Networks As Social Networks  

Microsoft Academic Search

Computer networks are inherently social networks, linking people, organizations, and knowledge. They are social institutions that should not be studied in isolation but as integrated into everyday lives. The proliferation of computer networks has facilitated a deemphasis on group solidarities at work and in the community and afforded a turn to networked societies that are loosely bounded and sparsely knit.

Barry Wellman

2001-01-01

7

Wayfinding in Social Networks  

NASA Astrophysics Data System (ADS)

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

Liben-Nowell, David

8

Social Insect Networks  

NSDL National Science Digital Library

Social insect colonies have many of the properties of adaptive networks. The simple rules governing how local interactions among individuals translate into group behaviors are found across social groups, giving social insects the potential to have a profound impact on our understanding of the interplay between network dynamics and social evolution.

Jennifer Fewell (Arizona State University; School of Life Sciences)

2003-09-26

9

SOCIAL NETWORKS, SOCIAL CAPITAL AND  

Microsoft Academic Search

This paper presents a theoretical framework on the relationship between social networks, social capital and knowledge productivity within organizations. In our knowledge economy, the competitive advantage of organisations relies on the capability to adapt to the changing environment by the continuous generation and application of new knowledge (Harrison & Kessels, 2004 p. 3). This specific capability is described as knowledge

Tjip de Jong

10

Professional social networking.  

PubMed

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

Rowley, Robert D

2014-12-01

11

Stop Social Network Pitfalls  

Microsoft Academic Search

Ask a group of teenagers how they spend their spare time and most will mention Facebook, YouTube, World of Warcraft, or Second Life – ‘virtual’ social networks that bring millions of people together online. The benefits of social networks have been touted but what about the pitfalls? Some teens will share everything about themselves to hundreds of online friends, most

K. Michael

2010-01-01

12

Social Capital in Online Social Networks  

Microsoft Academic Search

The problem of social capital in context of the online social networks is presented in the paper. Not only the specific elements, which characterize the single person and influence the individual's social capital like static social capi- tal, activity component, and social position, but also the ways of stimulation of the social capital are described.

Przemyslaw Kazienko; Katarzyna Musial

2006-01-01

13

Online social networks in economics  

Microsoft Academic Search

This paper describes how economists study social networks. While economists borrow from other fields like sociology or computer science, their approach of modeling of social networks is distinguished by the emphasis on the role of choices under constraints. Economists investigate how socioeconomic background and economic incentives affect the structure and composition of social networks. The characteristics of social networks are

Adalbert Mayer

2009-01-01

14

Online Advertising in Social Networks  

NASA Astrophysics Data System (ADS)

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.

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

15

Search using social networks  

E-print Network

In this thesis, we present an approach to the problem of personalized web search which makes use of the searcher's social network, in addition to the hyper-link based score used in most search engines. This combination of ...

Ammar, Ammar (Ammar T.)

2010-01-01

16

Affinity driven social networks  

NASA Astrophysics Data System (ADS)

In this work we present a model for evolving networks, where the driven force is related to the social affinity between individuals of a population. In the model, a set of individuals initially arranged on a regular ordered network and thus linked with their closest neighbors are allowed to rearrange their connections according to a dynamics closely related to that of the stable marriage problem. We show that the behavior of some topological properties of the resulting networks follows a non trivial pattern.

Ruyú, B.; Kuperman, M. N.

2007-04-01

17

Graphing Your Social Network  

NSDL National Science Digital Library

Students analyze their social networks using graph theory. They gather data on their own social relationships, either from Facebook interactions or the interactions they have throughout the course of a day, recording it in Microsoft Excel and using Cytoscape (a free, downloadable application) to generate social network graphs that visually illustrate the key persons (nodes) and connections between them (edges). The nodes in the Cytoscape graphs are color-coded and sized according to the importance of the node (in this activity, nodes are people in students' social networks). After the analysis, the graphs are further examined to see what can be learned from the visual representation. Students gain practice with graph theory vocabulary, including node, edge, betweeness centrality and degree on interaction, and learn about a range of engineering applications of graph theory.

2014-09-18

18

The Social Network Classroom  

NASA Astrophysics Data System (ADS)

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.

Bunus, Peter

19

Promoting Social Network Awareness: A Social Network Monitoring System  

ERIC Educational Resources Information Center

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…

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

2010-01-01

20

Social Network Infiltration  

NASA Astrophysics Data System (ADS)

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.

Plait, Philip

2008-05-01

21

Tractable Analysis for Large Social Networks  

ERIC Educational Resources Information Center

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

Zhang, Bin

2012-01-01

22

SocialCDN: Caching Techniques for Distributed Social Networks  

E-print Network

--Distributed online social networks (DOSN) have been proposed as an alternative to centralized Online Social Networks fusions of social and vehicular networks. I. INTRODUCTION Popular Online Social Networks (OSN and control of user generated data. In the case of centralized "Online Social Networking" sites, once personal

Iftode, Liviu

23

Applications of Social Network Analysis  

NASA Astrophysics Data System (ADS)

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.

Thilagam, P. Santhi

24

Communication Gaps in Social Networks  

Microsoft Academic Search

In the paper, we first present an approach to extract social networks from message boards on the Internet. Then we measure\\u000a structural features of 3,000 social networks extracted from 3,000 message boards from 15 categories in Yahoo!Japan Message\\u000a Boards to prove the relationships between the features and the categories. Using hierarchical cluster analysis, we show three\\u000a types of social networks.

Naohiro Matsumura; David E. Goldberg; Xavier Llorà

2005-01-01

25

Characteristics of Small Social Networks  

E-print Network

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 ...

Richards, Whitman

2010-07-27

26

Social Networking Goes to School  

ERIC Educational Resources Information Center

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…

Davis, Michelle R.

2010-01-01

27

Online social networks and learning  

Microsoft Academic Search

Purpose – This viewpoint essay seeks to argue that young people's online social networking can serve as sites for and supports for student learning in ways not currently assessed. Design\\/methodology\\/approach – The two themes presented are based on a select review of the research literature as well as the author's explorations of young people's online social networking practices within MySpace

Christine Greenhow

2011-01-01

28

Social Psychology Network  

NSDL National Science Digital Library

With over 11,000 links contained within its pages, the Social Psychology Network site is arguably the largest social psychology database on the Internet. Maintained by Professor Scout Plous of Wesleyan University, the site has been generously supported by the National Science Foundation. Visitors will appreciate the very clean layout of the siteâ??s homepage, as they are presented with a search engine, along with a number of electronic forums, and a listing of related topics. To delve into the siteâ??s contents, visitors may wish to select from any one of the areas on the left-hand side of the homepage, which include listings of doctoral programs in social psychology and teaching resources. There are numerous other options for interested parties, and they lead to such offerings as rankings of doctoral programs in the field and distance learning options in the field. Finally, visitors can also view many of the siteâ??s documents in a number of languages, including Spanish, French, Italian, and German.

Plous, Scott

29

Disassortative mixing in online social networks  

Microsoft Academic Search

The conventional wisdom is that social networks exhibit an assortative mixing pattern, whereas biological and technological networks show a disassortative mixing pattern. However, the recent research on the online social networks modifies the widespread belief, and many online social networks show a disassortative or neutral mixing feature. Especially, we found that an online social network, Wealink, underwent a transition from

Hai-Bo Hu; Xiao-Fan Wang

2009-01-01

30

Different Aspects of Social Network Analysis  

Microsoft Academic Search

A social network is a set of people (or organizations or other social entities) connected by a set of social relation- ships, such as friendship, co-working or information exchange. Social network analysis focuses on the analysis of patterns of relationships among people, organizations, states and such social entities. Social network analysis provides both a visual and a mathematical analysis of

Mohsen Jamali; Hassan Abolhassani

2006-01-01

31

Entropy of dynamical social networks  

NASA Astrophysics Data System (ADS)

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.

Zhao, Kun; Karsai, Marton; Bianconi, Ginestra

2012-02-01

32

Social networks and the development of social skills in cowbirds.  

PubMed

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

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

2012-07-01

33

Social networks and the development of social skills in cowbirds  

PubMed Central

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

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

2012-01-01

34

Churn in Social Networks  

NASA Astrophysics Data System (ADS)

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

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

35

A Social Network Analysis of Student Retention Using Archival Data  

ERIC Educational Resources Information Center

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…

Eckles, James E.; Stradley, Eric G.

2012-01-01

36

The Possibilities of Network Sociality  

NASA Astrophysics Data System (ADS)

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.

Willson, Michele

37

Social Science Research Network  

NSDL National Science Digital Library

Provided by Social Science Electronic Publishing (SSEP), this site allows users to freely access thousands of abstracts and full-text research papers. The core of the site is the SSRN Electronic Library, which contains an Abstract Database with over 15,600 entries and an Electronic Paper Collection, which currently contains over 4,200 full-text papers. Users can search title, abstract, and author fields, or browse the journals, which are grouped under the five respective Research Networks that form the SSRN: Accounting, Economics, Latin American, Financial, and Legal Scholarship. Within each journal entry, users may select from several display options to narrow their results and available full-text documents are indicated by a special symbol. Information on each of the five networks, including conference and job announcements, as well as information on subscribing and a list of site licenses, is accessible via a menu panel on the left side of the main page. According to SSEP, access to the abstracts and full-text papers will remain free of charge to all users until "the next revision to the web site this winter."

38

Social Science Research Network  

NSDL National Science Digital Library

Provided by Social Science Electronic Publishing (SSEP), this site allows users to freely access thousands of abstracts and full-text research papers. The core of the site is the SSRN Electronic Library, which contains an Abstract Database with over 15,600 entries and an Electronic Paper Collection, which currently contains over 4,200 full-text papers. Users can search title, abstract, and author fields, or browse the journals, which are grouped under the five respective Research Networks that form the SSRN: Accounting, Economics, Latin American, Financial, and Legal Scholarship. Within each journal entry, users may select from several display options to narrow their results and available full-text documents are indicated by a special symbol. Information on each of the five networks, including conference and job announcements, as well as information on subscribing and a list of site licenses, is accessible via a menu panel on the left side of the main page. According to SSEP, access to the abstracts and full-text papers will remain free of charge to all users until \\"the next revision to the web site this winter.\\"

39

Social Snapshots: Digital Forensics for Online Social Networks  

E-print Network

Social Snapshots: Digital Forensics for Online Social Networks Markus Huber Martin Mulazzani by pub- lishing our implementation as an open-source project. Keywords: online social networks, forensics, security 1. INTRODUCTION Over the past years, Online Social Networks (OSNs) have become the largest

40

Social network analysis of an online dating network  

Microsoft Academic Search

Online social networks can be found everywhere from chatting websites like MSN, blogs such as MySpace to social media such as YouTube and second life. Among them, there is one interesting type of online social networks, online dating network that is growing fast. This paper analyzes an online dating network from social network analysis point of view. Observations are made

Lin Chen; Richi Nayak

2011-01-01

41

Introduction to Social Network Analysis  

NASA Astrophysics Data System (ADS)

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.

Zaphiris, Panayiotis; Ang, Chee Siang

42

Sensor networks for social networks  

E-print Network

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. ...

Farry, Michael P. (Michael Patrick)

2006-01-01

43

Centrality measures in social networks  

NASA Astrophysics Data System (ADS)

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.

Moreau, Michele

44

MAXIMUM LIKELIHOOD ESTIMATION FOR SOCIAL NETWORK DYNAMICS  

PubMed Central

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

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

2014-01-01

45

An algorithmic approach to social networks  

E-print Network

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 ...

Liben-Nowell, David

2005-01-01

46

Online Identities and Social Networking  

NASA Astrophysics Data System (ADS)

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.

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

47

Experiments in Mobile Social Networking  

Microsoft Academic Search

In this report we consider a mobile ad hoc network setting where users of Bluetooth enabled devices meet and communicate op- portunistically as when random people meet in a cafe, or researchers meet at a conference. Ad hoc opportunistic contacts are built on the basis of pre-defined relationships in online social networks. Our ap- proach distinguishes itself from previous work

Anna-Kaisa Pietilainen; Earl Oliver; Jason LeBrun; George Varghese; Jon Crowcroft; Christophe Diot

2008-01-01

48

IEEE Network Special Issue on Online Social Networks  

E-print Network

IEEE Network Special Issue on Online Social Networks Call for papers The popularity and complexity of online social networks continues to grow triggering intense research interest in the analysis of the structure and properties of online communities. Today, online social network applications range from social

Moon, Sue B.

49

Social networking in vehicles  

E-print Network

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 ...

Liang, Philip Angus

2006-01-01

50

Computational Statistical Methods for Social Network Models  

PubMed Central

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

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

2013-01-01

51

Brain networks of social comparison.  

PubMed

Social comparison, that is, the process of comparing oneself to other people, is a ubiquitous social cognitive mechanism; however, so far its neural correlates have remained unknown. The present study tested the hypothesis that social comparisons are supported by partly dissociated networks, depending on whether the dimension under comparison concerns a physical or a psychological attribute. We measured brain activity with functional MRI, whereas participants were comparing their own height or intelligence to that of individuals they personally know. Height comparisons were associated with higher activity in a frontoparietal network involved in spatial and numerical cognition. Conversely, intelligence comparisons recruited a network of midline areas that have been previously implicated in the attribution of mental states to oneself and others (Theory of mind). These findings suggest that social comparisons rely on diverse domain-specific mechanisms rather than on one unitary process. PMID:23407275

Kedia, Gayannée; Lindner, Michael; Mussweiler, Thomas; Ihssen, Niklas; Linden, David E J

2013-03-27

52

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

ERIC Educational Resources Information Center

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…

Lusher, Dean

2011-01-01

53

Social networks and the Semantic Web  

E-print Network

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

Baeza-Yates, Ricardo

54

Rumor evolution in social networks  

NASA Astrophysics Data System (ADS)

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.

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

2013-03-01

55

Predicting social ties in mobile phone networks  

Microsoft Academic Search

A social network dynamically changes since the social relationships (social ties) change over time. The evolution of a social network mainly depends on the evolution of the social relationships. The social-tie strengths of person-to-person are different one another even though they are in the same group. In this paper we investigate the evolution of person-to-person social relationships, quantify and predict

Huiqi Zhang; Ram Dantu

2010-01-01

56

Interests Diffusion in Social Networks  

E-print Network

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...

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

2015-01-01

57

The Role of Social Networks  

Microsoft Academic Search

The objectives of the primary research are as follows:\\u000a1. to determine the frequency of visits to social networking websites by consumers.\\u000a2. to determine how social forums are used by respondents, and recognize what benefits they receive by using them.\\u000a3. to determine if consumers desire to be personally targeted by ads and promotions through this new media platform.

Mara M. Wenzler

2010-01-01

58

Winning consensus on social networks  

NASA Astrophysics Data System (ADS)

The adoption of a specific behavior (opinion) by a population of individuals is influenced dramatically by the social network through which the individuals interact. Here, we show the conditions under which a randomly distributed sub-population of committed agents -- nodes on the network that consistently profess a unique opinion and are not influenceable to change -- can win over an entire population of individuals initially opposed to that opinion. We model the opinion dynamics by a variant of the Naming Game (Baronchelli et al. (2006)), which effectively captures the persistence of dominant opinions. Given this model, we demonstrate that in the asymptotic network size limit, there exists a critical value pc of the fraction of committed agents, above which the network-state attains consensus, and below which the network-state converges to a non-consensus fixed point. We also discuss finite size corrections to pc and the scaling of consensus times for finite networks.

Sreenivasan, Sameet; Xie, J.; Korniss, G.; Szymanski, Boleslaw

2011-03-01

59

Activity based interfaces in online social networks  

E-print Network

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 ...

Laraqui, Jawad

2007-01-01

60

Rapid innovation diffusion in social networks  

E-print Network

Social and technological innovations often spread through social networks as people respond to what their neighbors are doing. Previous research has identified specific network structures, such as local clustering, that ...

Kreindler, Gabriel Emanuel

61

Networks in Social Policy Problems  

NASA Astrophysics Data System (ADS)

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

Vedres, Balázs; Scotti, Marco

2012-08-01

62

Bridging the gap between different social networks  

NASA Astrophysics Data System (ADS)

The available social network models that exist today were designed primarily on the basis of the analysis of statistical properties and structural features, as well as the physical or social distances between individuals of social systems, which sometimes is not sufficient because the structure of some social networks is closely tied to individuals' social identities. In addition, the difference in growth speed between different social networks is also neglected in these models. We propose a synthetic model that involves social identity and adjustable growth speed factors to compensate for these limitations. The model features four types of node connection mechanisms: random attachment, transitive attachment, preferential attachment and anti-preferential attachment. Experimental results indicate that the model can not only produce rich topological structures but can also match real social networks well in both their macro properties and their micro foundations. Thus, the model is helpful in understanding both the evolution of social networks and the differences and similarities among different social networks.

Qiao, Jian; Huang, Hong-Qiao; Li, Guo-Ying; Fan, Ying

2014-09-01

63

How to Network in Online Social Networks Giovanni Neglia  

E-print Network

How to Network in Online Social Networks Giovanni Neglia Inria Sophia-Antipolis M--In this paper, we consider how to maximize users' influence in Online Social Networks (OSNs) by exploiting wants to spread information). However, the recruitment process in Online Social Networks (OSNs) is much

Paris-Sud XI, Université de

64

Security in OpenSocial-Instrumented Social Networking Services  

Microsoft Academic Search

\\u000a Securing social networking services is challenging and becomes even more complex when third-party applications are able to\\u000a access user data. Still, adequate security and privacy solutions are imperative in order to build and maintain trust in such\\u000a extensible social platforms. This paper discusses security issues in the context of OpenSocial-instrumented social networking\\u000a services. It shows that the OpenSocial specification is

Matthias Häsel; Luigi Lo Iacono

2010-01-01

65

Social Networks and Online Privacy Concerns Survey The Social Networks and Online Privacy Concerns Survey  

E-print Network

Social Networks and Online Privacy Concerns Survey The Social Networks and Online Privacy Concerns Survey The Social Networks and Online Privacy Concerns Survey is part of a research project survey #12;0% 100% Yes Unsure No Yes Unsure No Social Networks and Online Privacy Concerns Survey

Kaiser, Gail E.

66

Clustering social networks using ant colony optimization  

Microsoft Academic Search

Several e-marketing applications rely on the ability to understand the structure of social networks. Social networks can be\\u000a represented as graphs with customers as nodes and their interactions as edges. Most real world social networks are known to\\u000a contain extremely dense subgraphs (also called as communities) which often provide critical insights about the emergent properties\\u000a of the social network. The

Supreet Reddy Mandala; Soundar R. T. Kumara; Calyampudi Radhakrishna Rao; Reka Albert

67

Social Rewards and Social Networks in the Human Brain.  

PubMed

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

Fareri, Dominic S; Delgado, Mauricio R

2014-02-21

68

Organizational Application of Social Networking Information Technologies  

ERIC Educational Resources Information Center

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…

Reppert, Jeffrey R.

2012-01-01

69

Unifying Social Networks for Smart Phones  

E-print Network

-M.Sc.-2012-51 #12;Abstract Smartphones and Social networks are two concepts closely related whichUnifying Social Networks for Smart Phones Jose Luis de la Peña Kongens Lyngby 2012 IMM-M.Sc.-2012 to provide a tool to simplify the process of comprising the social networks included in Facebook, Twitter

70

Collaboration in the School Social Network  

ERIC Educational Resources Information Center

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…

Schultz-Jones, Barbara

2009-01-01

71

VU UNIVERSITY AMSTERDAM Social Networking Analytics  

E-print Network

VU UNIVERSITY AMSTERDAM BMI PAPER Social Networking Analytics Abstract In recent years, the online community has moved a step further in connecting people. Social Networking was born to enable people accessibility of web-based social networks stimulated extensive research in this domain. Understanding how

Bhulai, Sandjai

72

Measurement and analysis of online social networks  

Microsoft Academic Search

Online social networking sites like Orkut, YouTube, and Flickr are among the most popular sites on the Internet. Users of these sites form a social network, which provides a powerful means of sharing, organizing, and finding con- tent and contacts. The popularity of these sites provides an opportunity to study the characteristics of online social network graphs at large scale.

Alan Mislove; Massimiliano Marcon; P. Krishna Gummadi; Peter Druschel; Bobby Bhattacharjee

2007-01-01

73

Privacy in Online Social Networking at Workplace  

Microsoft Academic Search

Abstract—Employees using social,network sites (SNS) at workplace is a fact. As companies are further embracing social networks, how if at all does this practice affect the work dynamics? While privacy has been a hot topic in online social network research in general, there is little work investigating the privacy aspect of this practice at workplace. This paper aims at starting

Yang Wang; Alfred Kobsa

2009-01-01

74

Dynamics of Dyads in Social Networks: Assortative,  

E-print Network

Dynamics of Dyads in Social Networks: Assortative, Relational, and Proximity Mechanisms Mark T relationships and network positions, and proximity mechanisms that focus on the social organization as determinants of ac- tors' behavior and outcomes, understanding the antecedents of social networks has become

Kuzmanovic, Aleksandar

75

Social Software: Participants' Experience Using Social Networking for Learning  

ERIC Educational Resources Information Center

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

Batchelder, Cecil W.

2010-01-01

76

Bowling online: social networking and social capital within the organization  

Microsoft Academic Search

Within an organizational setting, social capital facilitates knowledge management processes in that it enables individuals to locate useful information, draw on resources and make contributions to the network. This paper explores the relationship between various dimensions of organizational social capital and the use of an internal social network site (SNS). We hypothesize that the use of a SNS contributes to

Charles Steinfield; Joan Moris DiMicco; Nicole B. Ellison; Cliff Lampe

2009-01-01

77

Fitcolab Experimental Online Social Networking System  

Microsoft Academic Search

\\u000a Scholars have recently started to explore specific characteristics of increasingly popular online social networks. This paper\\u000a presents Fitcolab online social network (OSN). This real life, modern OSN was created as an experimental research network\\u000a which should allow for examination of various phenomena pertaining to network structure of online social networks. The main\\u000a goal of the paper is to thoroughly describe

Haris Memic

2010-01-01

78

Collective privacy management in social networks  

Microsoft Academic Search

Social Networking is one of the major technological phe- nomena of the Web 2.0, with hundreds of millions of people participating. Social networks enable a form of self expres- sion for users, and help them to socialize and share content with other users. In spite of the fact that content sharing represents one of the prominent features of existing Social

Anna Cinzia Squicciarini; Mohamed Shehab; Federica Paci

2009-01-01

79

Privacy and Social Networking Sites  

ERIC Educational Resources Information Center

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…

Timm, Dianne M.; Duven, Carolyn J.

2008-01-01

80

Social Networking: Keeping It Clean  

ERIC Educational Resources Information Center

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…

Waters, John K.

2011-01-01

81

Social structure of Facebook networks  

NASA Astrophysics Data System (ADS)

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.

Traud, Amanda L.; Mucha, Peter J.; Porter, Mason A.

2012-08-01

82

Navigating Social Networks  

ERIC Educational Resources Information Center

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…

Hamblin, DeAnna; Bartlett, Marilyn J.

2013-01-01

83

Social inertia in collaboration networks  

E-print Network

This work is a study of the properties of collaboration networks employing the formalism of weighted graphs to represent their one-mode projection. The weight of the edges is directly the number of times that a partnership has been repeated. This representation allows us to define the concept of "social inertia" that measures the tendency of authors to keep on collaborating with previous partners. We use a collection of empirical datasets to analyze several aspects of the social inertia: 1) its probability distribution, 2) its correlation with other properties, and 3) the correlations of the inertia between neighbors in the network. We also contrast these empirical results with the predictions of a recently proposed theoretical model for the growth of collaboration networks.

Ramasco, J J; Ramasco, Jose J.; Morris, Steven A.

2005-01-01

84

Reconfiguration and Search of Social Networks  

PubMed Central

Social networks tend to exhibit some topological characteristics different from regular networks and random networks, such as shorter average path length and higher clustering coefficient, and the node degree of the majority of social networks obeys exponential distribution. Based on the topological characteristics of the real social networks, a new network model which suits to portray the structure of social networks was proposed, and the characteristic parameters of the model were calculated. To find out the relationship between two people in the social network, and using the local information of the social network and the parallel mechanism, a hybrid search strategy based on k-walker random and a high degree was proposed. Simulation results show that the strategy can significantly reduce the average number of search steps, so as to effectively improve the search speed and efficiency. PMID:24574861

Zhang, Lianming; Peng, Aoyuan

2013-01-01

85

Social Network Analysis of University Online Forum  

Microsoft Academic Search

To describe the social network in online forum (BBS) of university, social network analysis and data mining method was used to investigate the network relationship of community under the help of UCINET software and ID3 algorithm. Characteristic of community network, formation of opinion leader's position and the relationship between initiative and other attributes of community members were also explored. On

Huiqing Niu

2010-01-01

86

Electronic Communication Systems and Social Networking Employee Social Media Policy  

E-print Network

/or bullying apply to content posted online. Violating any University policy while using social media couldElectronic Communication Systems and Social Networking Employee Social Media Policy The Fogelman impact. Beware of comments that could reflect poorly on you and the College. Social media sites

Dasgupta, Dipankar

87

IMPLEMENTATION OF A VARIABLE STRUCTURE NEURAL NETWORK  

E-print Network

1 IMPLEMENTATION OF A VARIABLE STRUCTURE NEURAL NETWORK Billie Yevonne Pearce Certificate IMPLEMENTATION OF A VARIABLE STRUCTURE NEURAL NETWORK Billie Yevonne Pearce A Project Submitted to the Computer STRUCTURE NEURAL NETWORK Billie Yevonne Pearce Master of Software Engineering, May 12, 2001 (B.S. Computer

88

Leveraging social networks for toxicovigilance.  

PubMed

The landscape of drug abuse is shifting. Traditional means of characterizing these changes, such as national surveys or voluntary reporting by frontline clinicians, can miss changes in usage the emergence of novel drugs. Delays in detecting novel drug usage patterns make it difficult to evaluate public policy aimed at altering drug abuse. Increasingly, newer methods to inform frontline providers to recognize symptoms associated with novel drugs or methods of administration are needed. The growth of social networks may address this need. The objective of this manuscript is to introduce tools for using data from social networks to characterize drug abuse. We outline a structured approach to analyze social media in order to capture emerging trends in drug abuse by applying powerful methods from artificial intelligence, computational linguistics, graph theory, and agent-based modeling. First, we describe how to obtain data from social networks such as Twitter using publicly available automated programmatic interfaces. Then, we discuss how to use artificial intelligence techniques to extract content useful for purposes of toxicovigilance. This filtered content can be employed to generate real-time maps of drug usage across geographical regions. Beyond describing the real-time epidemiology of drug abuse, techniques from computational linguistics can uncover ways that drug discussions differ from other online conversations. Next, graph theory can elucidate the structure of networks discussing drug abuse, helping us learn what online interactions promote drug abuse and whether these interactions differ among drugs. Finally, agent-based modeling relates online interactions to psychological archetypes, providing a link between epidemiology and behavior. An analysis of social media discussions about drug abuse patterns with computational linguistics, graph theory, and agent-based modeling permits the real-time monitoring and characterization of trends of drugs of abuse. These tools provide a powerful complement to existing methods of toxicovigilance. PMID:23619711

Chary, Michael; Genes, Nicholas; McKenzie, Andrew; Manini, Alex F

2013-06-01

89

Leveraging social media networks for classification  

Microsoft Academic Search

Social media has reshaped the way in which people interact with each other. The rapid development of participatory web and\\u000a social networking sites like YouTube, Twitter, and Facebook, also brings about many data mining opportunities and novel challenges.\\u000a In particular, we focus on classification tasks with user interaction information in a social network. Networks in social\\u000a media are heterogeneous, consisting

Lei Tang; Huan Liu

90

Privacy Respecting Targeted Advertising for Social Networks  

Microsoft Academic Search

\\u000a Online Social Networks form an increasingly important part of people’s lives. As mobile technologies improve accessibility,\\u000a concerns about privacy and trust are more apparent as advertising becomes a critical component of most social network’s economic\\u000a model. In this paper we describe the PICOS project’s research into privacy preserving advertising options for social networks.\\u000a We introduce an architecture that includes new

Christian Kahl; Stephen Crane; Markus Tschersich; Kai Rannenberg

91

Egobile: where social networks go mobile  

Microsoft Academic Search

The pervasiveness of always-on smartphones and wireless networks, has provided users chances to connect to mobile social networks everywhere. However, the diversity of phone manufacturers and operating systems is hindering the development of location-aware social network applications. Via introducing the Egobile application, this paper addresses the major issues of developing mobile context-aware social networks with collaborative filtering method for recommendations.

Hung Q. Tao; Yen-Vy L. Nguyen; Hieu M. Nguyen; Viet H. Huynh; Tuan A. Nguyen

2011-01-01

92

"Hidden" social networks in behavior change interventions.  

PubMed

We investigated whether "hidden" (or unobserved) social networks were evident in a 2011 physical activity behavior change intervention in Belfast, Northern Ireland. Results showed evidence of unobserved social networks in the intervention and illustrated how the network evolved over short periods and affected behavior. Behavior change interventions should account for the interaction among participants (i.e., social networks) and how such interactions affect intervention outcome. PMID:25602895

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

2015-03-01

93

Social networks and infant feeding in Oaxaca, Mexico.  

PubMed

The health benefits of delaying the introduction of complementary foods to infants' diets are widely known. Many studies have shown that mothers with the support of close social network members are more compliant with medical recommendations for infant feeding. In our study, we examine the effects of a broader spectrum of network members (40 people) on mothers' infant feeding decisions. The survey was conducted in Oaxaca, Mexico as part of a follow-up to a nationwide Mexican Social Security Institute survey of infant health. Sixty mothers were interviewed from a stratified random sample of the original respondents. Multivariate tests were used to compare the efficacy of network-level variables for predicting the introduction of 36 foods into infants' diets, when compared with respondent-level variables. The study yields four findings. First, network-level variables were better predictors of the timing of food introduction than socio-demographic variables. Second, mothers with more indigenous networks delayed the introduction of some grains (oatmeal, cereal, noodle soup, rice) and processed pork products (sausage and ham) to the infant's diet longer than mothers with less indigenous networks. Third, mothers who had stronger ties to their networks delayed the introduction of rice and processed pork products (sausage and ham) to the infant's diet longer than mothers who had weaker ties to their networks. Fourth, mothers who heeded the advice of distant network members introduced some grains (rice and cereal) earlier than mothers who did not heed the advice of distant network members. PMID:18336645

Wutich, Amber; McCarty, Christopher

2008-04-01

94

Hybrid Bayesian Networks with Linear Deterministic Variables  

E-print Network

When a hybrid Bayesian network has conditionally deterministic variables with continuous parents, the joint density function for the continuous variables does not exist. Conditional linear Gaussian distributions can handle such cases when...

Cobb, Barry R.; Shenoy, Prakash P.

2005-07-01

95

First-Year Students' Use of Social Network Sites to Reduce the Uncertainty of Anticipatory Socialization  

ERIC Educational Resources Information Center

This study surveyed 399 incoming first-year students at two colleges in the Midwest on their use of social network sites before college entry and its impact on various dimensions of the first-year experience. Significant correlations were found for two pairs of variables: (a) students who used social network sites before arriving on campus…

Anderson, Isolde K.; Lerstrom, Alan; Tintle, Nathan

2014-01-01

96

Cooperation in anonymous dynamic social networks  

Microsoft Academic Search

In the study of social networks, the interplay between network games and network formation is significant yet not well understood. Research in network games seeks to explain strategic interactions between neighbors, whereas research in network formation explores the evolution of link patterns. Our work combines these approaches. We show how cooperative behavior in prisoners' dilemma (PD) interactions can be sustained

Nicole Immorlica; Brendan Lucier; Brian Rogers

2010-01-01

97

Community structure in social and biological networks  

Microsoft Academic Search

A number of recent studies have focused on the statistical properties of networked systems such as social networks and the Worldwide Web. Researchers have concentrated particularly on a few properties that seem to be common to many networks: the small-world property, power-law degree distributions, and network transitivity. In this article, we highlight another property that is found in many networks,

Michelle Girvan; M. E. J. Newman

2002-01-01

98

Text Mining in Social Networks  

NASA Astrophysics Data System (ADS)

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

Aggarwal, Charu C.; Wang, Haixun

99

Mobile social networks and urban public space  

Microsoft Academic Search

The development and proliferation of mobile social networks have the potential to transform ways that people come together and interact in public space. These services allow new kinds of information to flow into public spaces and, as such, can rearrange social and spatial practices. Dodgeball is used as a case study of mobile social networks. Based on a year-long qualitative

Lee Humphreys

2010-01-01

100

Secure friend discovery in mobile social networks  

Microsoft Academic Search

Mobile social networks extend social networks in the cyberspace into the real world by allowing mobile users to discover and interact with existing and potential friends who happen to be in their physical vicinity. Despite their promise to enable many exciting applications, serious security and privacy concerns have hindered wide adoption of these networks. To address these concerns, in this

Wei Dong; Vacha Dave; Lili Qiu; Yin Zhang

2011-01-01

101

Locating Experts via Online Social Networks  

Microsoft Academic Search

Online social networking systems provide indirect access to a large number of people connected by multi-step chains of acquaintances, and plays an important role in the referrals for human information flow. In this paper, from a networking point of view, we study the problem of locating experts for relevant information via online social networks. We model the action of forwarding

Kuang Xu; Jing Xie; V. O. K. Li

2010-01-01

102

Social Network Theory and Educational Change  

ERIC Educational Resources Information Center

"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…

Daly, Alan J., Ed.

2010-01-01

103

Some Facts of Social Networks and Crowdsourcing  

E-print Network

;Basedonthedatafromparticipating countries, wemakethefollowingassumption. #12;In Europe, 50% is member of only 1 social network, mostly Facebook. #12;People use more than Facebook. In Europe, people join on average 1,9 social networks networks In Europe Membership Facebook 62% Twitter 16% MySpace 12% #12;9 Average Facebook session lasts 37

Yang, Zheng

104

Adaptive Seeding in Social Networks Lior Seeman  

E-print Network

University Cambridge, MA yaron@seas.harvard.edu Index Terms--social networks; influence maximization; ap influence in social networks (see e.g. [2]­[10]). Despite the immense progress made in the past decade, influence maximization algorithms are applied on relatively small samples of the network. This naturally

Chen, Yiling

105

Student social graphs: visualizing a student's online social network  

Microsoft Academic Search

Most research applying Social Network Analysis (SNA) to online learning has been focused on understanding the social network of the class as an entity. This work, on the other hand, explores student specific analysis (i.e. analyzing each student individually). This student-centered analysis uses a graphical metaphor to provide the instructor an intuitive understanding of the student's interactions within the class.

Jeffrey S. Saltz; Starr Roxanne Hiltz; Murray Turoff

2004-01-01

106

Going Social: The Impact of Social Networking in Promoting Education  

ERIC Educational Resources Information Center

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.

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

2012-01-01

107

A Mobile Social Network on ESP: an Egocentric Social Platform  

E-print Network

). To demonstrate its feasibility, we have ported Musubi, a fully functional mobile social app platform focuses on creating a platform for mobile apps where the primary use of Facebook is to get access to oneA Mobile Social Network on ESP: an Egocentric Social Platform T. J. Purtell Ian Vo Monica S. Lam

Straight, Aaron

108

One Health in social networks and social media.  

PubMed

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

Mekaru, S R; Brownstein, J S

2014-08-01

109

Towards Socially-Intelligent Wearable Networks  

Microsoft Academic Search

We propose a wearable system that uses machine perception to quantify a user's social context and propagate this information to others in the user's social network. The social context is evaluated for the user's instantaneous, face-to- face interactions by evaluating proximity, collective speech features, head-movements, and galvanic skin responses. This information is then propagated to others within the user's social

Anmol Madan; Ron Caneel

110

Spreading in online social networks: The role of social reinforcement  

NASA Astrophysics Data System (ADS)

Some epidemic spreading models are usually applied to analyze the propagation of opinions or news. However, the dynamics of epidemic spreading and information or behavior spreading are essentially different in many aspects. Centola's experiments [ScienceSCIEAS0036-807510.1126/science.1185231 329, 1194 (2010)] on behavior spreading in online social networks showed that the spreading is faster and broader in regular networks than in random networks. This result contradicts with the former understanding that random networks are preferable for spreading than regular networks. To describe the spreading in online social networks, a unknown-known-approved-exhausted four-status model was proposed, which emphasizes the effect of social reinforcement and assumes that the redundant signals can improve the probability of approval (i.e., the spreading rate). Performing the model on regular and random networks, it is found that our model can well explain the results of Centola's experiments on behavior spreading and some former studies on information spreading in different parameter space. The effects of average degree and network size on behavior spreading process are further analyzed. The results again show the importance of social reinforcement and are accordant with Centola's anticipation that increasing the network size or decreasing the average degree will enlarge the difference of the density of final approved nodes between regular and random networks. Our work complements the former studies on spreading dynamics, especially the spreading in online social networks where the information usually requires individuals' confirmations before being transmitted to others.

Zheng, Muhua; Lü, Linyuan; Zhao, Ming

2013-07-01

111

Database partitioning strategies for social network data  

E-print Network

In this thesis, I designed, prototyped and benchmarked two different data partitioning strategies for social network type workloads. The first strategy takes advantage of the heavy-tailed degree distributions of social ...

Moll Thomae, Oscar Ricardo

2012-01-01

112

The Vertebrate Social Behavior Network: Evolutionary Themes and Variations  

PubMed Central

Based on a wide variety of data, it is now clear that the brains of birds and teleost (bony) fish possess a core “social behavior network” within the basal forebrain and midbrain that is homologous to the social behavior network of mammals. The nodes of this network are reciprocally connected, contain receptors for sex steroid hormones, and are involved in multiple forms of social behavior. Other hodological features and neuropeptide distributions are likewise very similar across taxa. This evolutionary conservation represents a boon for experiments on phenotypic behavioral variation, as the extraordinary social diversity of teleost fish and songbirds can now be used to generate broadly relevant insights into issues of brain function that are not particularly tractable in other vertebrate groups. Two such lines of research are presented here, each of which addresses functional variation within the network as it relates to divergent patterns of social behavior. In the first set of experiments, we have used a sexually polymorphic fish to demonstrate that natural selection can operate independently on hypothalamic neuroendocrine functions that are relevant for 1) gonadal regulation and 2) sex-typical behavioral modulation. In the second set of experiments, we have exploited the diversity of avian social organizations and ecologies to isolate species-typical group size as a quasi-independent variable. These experiments have shown that specific areas and peptidergic components of the social behavior network possess functional properties that evolve in parallel with divergence and convergence in sociality. PMID:15885690

Goodson, James L.

2008-01-01

113

Social Networks and the Nature of Communities  

Microsoft Academic Search

If I had encountered sociologist Barry Wellman and learned about social network analysis when I first wrote about cyberspace\\u000a cultures, I could have saved us all a decade of debate by calling them “online social networks” instead of “virtual communities”.\\u000a Social networks predated the Internet, writing and even speech. Indeed, humans are not the only creature that makes use of

Howard Rheingold

114

Mining Social Networks in Message Boards  

Microsoft Academic Search

In the paper, we flrst present an approach to extract social networks from message boards on the Internet. Then we show structural features of 3,000 social networks extracted from 3,000 message boards from 15 categories in Yahoo!Japan Message Boards to prove the relationships between the features and the categories. After we classify social networks into three types (interactive communication, distributed

Naohiro Matsumura; David E. Goldberg; Xavier Llor

2005-01-01

115

Mining diversity on social media networks  

Microsoft Academic Search

The fast development of multimedia technology and increasing availability of network bandwidth has given rise to an abundance\\u000a of network data as a result of all the ever-booming social media and social websites in recent years, e.g., Flickr, Youtube,\\u000a MySpace, Facebook, etc. Social network analysis has therefore become a critical problem attracting enthusiasm from both academia\\u000a and industry. However, an

Lu Liu; Feida Zhu; Meng Jiang; Jiawei Han; Lifeng Sun; Shiqiang Yang

2010-01-01

116

Variability in Autistic Children's Social Responsiveness.  

ERIC Educational Resources Information Center

This study attempted to systematically explore the range of variation in social response in 17 subjects (ages 5 to 15) with infantile autism. To collect observational data on social initiations, social responses, social monitoring with eye contact, and responses to specific types of social events, subjects were observed during free play in their…

Fein, Deborah; And Others

117

Psy 992 Social Network Analysis Syllabus 1 Social Network Analysis (Psy 992)  

E-print Network

Psy 992 Social Network Analysis Syllabus 1 Social Network Analysis (Psy 992) Fall 2012 Instructor: Jennifer Watling Neal, Ph.D. Class: Tuesdays 10:20-1:10pm Office: 127A Psychology Building Location: 134C: Social network analysis is a distinct approach to research that focuses on the structure of relationships

Liu, Taosheng

118

Divide and Conquer: Partitioning Online Social Networks  

Microsoft Academic Search

Online Social Networks (OSNs) have exploded in terms of scale and scope over\\u000athe last few years. The unprecedented growth of these networks present\\u000achallenges in terms of system design and maintenance. One way to cope with this\\u000ais by partitioning such large networks and assigning these partitions to\\u000adifferent machines. However, social networks possess unique properties that\\u000amake the

Josep M. Pujol; Vijay Erramilli; Pablo Rodriguez

2009-01-01

119

Bayesian Networks for Social Modeling  

SciTech Connect

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

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

2011-03-28

120

Improving Matching Process in Social Network  

Microsoft Academic Search

Online dating networks, a type of social network, are gaining popularity. With many people joining and being available in the network, users are overwhelmed with choices when choosing their ideal partners. This problem can be overcome by utilizing recommendation methods. However, traditional recommendation methods are ineffective and inefficient for online dating networks where the dataset is sparse and\\/or large and

Lin Chen; Richi Nayak; Yue Xu

2010-01-01

121

Psychology and social networks: a dynamic network theory perspective.  

PubMed

Research on social networks has grown exponentially in recent years. However, despite its relevance, the field of psychology has been relatively slow to explain the underlying goal pursuit and resistance processes influencing social networks in the first place. In this vein, this article aims to demonstrate how a dynamic network theory perspective explains the way in which social networks influence these processes and related outcomes, such as goal achievement, performance, learning, and emotional contagion at the interpersonal level of analysis. The theory integrates goal pursuit, motivation, and conflict conceptualizations from psychology with social network concepts from sociology and organizational science to provide a taxonomy of social network role behaviors, such as goal striving, system supporting, goal preventing, system negating, and observing. This theoretical perspective provides psychologists with new tools to map social networks (e.g., dynamic network charts), which can help inform the development of change interventions. Implications for social, industrial-organizational, and counseling psychology as well as conflict resolution are discussed, and new opportunities for research are highlighted, such as those related to dynamic network intelligence (also known as cognitive accuracy), levels of analysis, methodological/ethical issues, and the need to theoretically broaden the study of social networking and social media behavior. (PsycINFO Database Record (c) 2014 APA, all rights reserved). PMID:24750076

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

2014-04-01

122

Changes in Social Networks Following Marital Separation.  

ERIC Educational Resources Information Center

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…

Rands, Marylyn

123

Corporate strategy and the Social Networking phenomena  

Microsoft Academic Search

The Social Networking (SN) phenomena has developed relatively overnight and is continuing to develop at an exponential pace. It allows for innovative new methods of disseminating and collecting information in ways never before dreamed possible by corporate executives. The rise of Social Networking is becoming a disruptive technology for traditional marketing and advertising medium such as radio, television, web page,

Robert L. Johnson

2010-01-01

124

Mining Social Networks for Targeted Advertising  

Microsoft Academic Search

In this paper, we propose a data mining framework that utilizes the concept of social network for the targeted advertising of products. This approach discovers the cohesive subgroups from customer's social network which is derived from customer's interaction data. Based on the set of cohesive subgroups, we infer the probabilities of customer's liking a product category from transaction records. Utilizing

Wan-shiou Yang; Jia-ben Dia; Hung-chi Cheng; Hsing-tzu Lin

2006-01-01

125

Targeted advertising for online social networks  

Microsoft Academic Search

Generating targeted advertisements for online social networks is a problem of growing interest. Monetizing activity in online social networks has been the topic of heated discussion lately. The undiscriminating tastes and spending power of a majority of its members makes this medium for self-expression and opinion sharing a very lucrative venue for advertising. The recent $240 million investment by Microsoft

Pinaki Mitra; Kamal Baid

2009-01-01

126

Bootstrapping opportunistic networks using social roles  

Microsoft Academic Search

Opportunistic routing protocols can enable mes- sage delivery in disconnected networks of mobile devices. To conserve energy in mobile environments, such routing protocols must minimise unnecessary message-forwarding. This paper presents an opportunistic routing protocol that leverages social role information. We compute node roles from a social network graph to identify nodes with similar contact re- lationships, and use these roles

Greg Bigwood; Tristan Henderson

2011-01-01

127

College students' social networking experiences on Facebook  

Microsoft Academic Search

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

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

2009-01-01

128

An online social network for emergency management  

Microsoft Academic Search

Online Social Networking Sites (SNS) are becoming extremely popular and can be employed in a variety of contexts. They permit the establishment of global relationships that are domain related or can be based on some general need shared by the participants. Emergency domain related websites, each with their own stated mission, are becoming widespread. Can a social network offer a

Connie White; Linda Plotnick; Jane Kushma; Starr Roxanne Hiltz; Murray Turoff

2009-01-01

129

Parallel crawling for online social networks  

Microsoft Academic Search

Given a huge online social network, how do we retrieve information from it through crawling? Even better, how do we improve the crawling performance by using parallel crawlers that work independently? In this paper, we present the framework of parallel crawlers for online social networks, utilizing a centralized queue. To show how this works in practice, we describe our implementation

Duen Horng Chau; Shashank Pandit; Samuel Wang; Christos Faloutsos

2007-01-01

130

Motivations for social networking at work  

Microsoft Academic Search

The introduction of a social networking site inside of a large enterprise enables a new method of communication between colleagues, encouraging both personal and professional sharing inside the protected walls of a company intranet. Our analysis of user behavior and interviews presents the case that professionals use internal social networking to build stronger bonds with their weak ties and to

Joan Morris Dimicco; David R. Millen; Werner Geyer; Casey Dugan; Beth Brownholtz; Michael J. Muller

2008-01-01

131

Social Networking on the Semantic Web  

ERIC Educational Resources Information Center

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…

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

2005-01-01

132

Gender Differences in Using Social Networks  

ERIC Educational Resources Information Center

The purpose of this study is to determine individuals' usage purposes of social networks with a focus on the possible differences between females and males. Facebook, which is one the most popular and being most widely used social network, is investigated in this study. The study group consisted of 870 Facebook users who responded to an online…

Mazman, S. Guzin; Usluel, Yasemin Kocak

2011-01-01

133

Enhancing Classroom Effectiveness through Social Networking Tools  

ERIC Educational Resources Information Center

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…

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

2013-01-01

134

Vizster: Visualizing Online Social Networks Jeffrey Heer  

E-print Network

, 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

Hearst, Marti

135

Social networks and the risk of gunshot injury.  

PubMed

Direct and indirect exposure to gun violence have considerable consequences on individual health and well-being. However, no study has considered the effects of one's social network on gunshot injury. This study investigates the relationship between an individual's position in a high-risk social network and the probability of being a victim of a fatal or non-fatal gunshot wound by combining observational data from the police with records of fatal and non-fatal gunshot injuries among 763 individuals in Boston's Cape Verdean community. A logistic regression approach is used to analyze the probability of being the victim of a fatal or non-fatal gunshot wound and whether such injury is related to age, gender, race, prior criminal activity, exposure to street gangs and other gunshot victims, density of one's peer network, and the social distance to other gunshot victims. The findings demonstrate that 85 % all of the gunshot injuries in the sample occur within a single social network. Probability of gunshot victimization is related to one's network distance to other gunshot victims: each network association removed from another gunshot victim reduces the odds of gunshot victimization by 25 % (odds ratio = 0.75; 95 % confidence interval, 0.65 to 0.87). This indirect exposure to gunshot victimization exerts an effect above and beyond the saturation of gunshot victimization in one's peer network, age, prior criminal activity, and other individual and network variables. PMID:22714704

Papachristos, Andrew V; Braga, Anthony A; Hureau, David M

2012-12-01

136

Social Network Security: A Brief Overview of Risks and Solutions  

E-print Network

Social Network Security: A Brief Overview of Risks and Solutions Edward Wang, ekw1@cec.wustl.edu (A the various aspects of social, network and physical security related with the use of social networks Social network security, social engineering, XSS, CSRF, DoS, stalking, OpenID, Facebook, twitter, Linked

Jain, Raj

137

13-12-16 Big Data in Social Networks  

E-print Network

13-12-16 1 Big Data in Social Networks Ivan Stojmenovic University of Ottawa December 2013 Outline Big Data Big Data in Social Networks 4V in Big Data from Social Networks Harnessing Big Data from Social Networks Small Social Data vs Big Data Community structure Space ­crossing community

Stojmenovic, Ivan

138

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

PubMed

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

Kim, Yoojung; Lee, Wei-Na

2014-03-01

139

Information Filtering on Coupled Social Networks  

PubMed Central

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

Nie, Da-Cheng; Zhang, Zi-Ke; Zhou, Jun-Lin; Fu, Yan; Zhang, Kui

2014-01-01

140

Information filtering on coupled social networks.  

PubMed

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

Nie, Da-Cheng; Zhang, Zi-Ke; Zhou, Jun-Lin; Fu, Yan; Zhang, Kui

2014-01-01

141

Digital Social Network Mining for Topic Discovery  

NASA Astrophysics Data System (ADS)

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.

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

142

Social capital, social network and identity bonds: a reconceptualization  

Microsoft Academic Search

We argue that along with social network analysis researchers can also benefit from looking at the identity bonding perspective. In this paper, by synthetic and critical reviewing literature on related work from sociology and information science, we provide a new theoretical lens that calls attention to the role played by shared identity in creating social capital.

Hao Jiang; John M. Carroll

2009-01-01

143

Multilayer weighted social network model  

NASA Astrophysics Data System (ADS)

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.

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

2014-11-01

144

A Participatory Evaluation of the Use of Social Networking Tools in a High School Math Class  

ERIC Educational Resources Information Center

As we move into the 21st century, the needs of our students are more variable than ever. There has been a proliferation of social networking usage in society yet there has been little use of those emerging tools in schools as a means to enhance student learning. It is a common practice in school districts to block social networking sites and…

Wormald, Randy J.

2012-01-01

145

Benford's Law Applies To Online Social Networks  

E-print Network

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.

Golbeck, Jennifer

2015-01-01

146

Some trust issues in social networks and sensor networks  

Microsoft Academic Search

Trust and reputation are becoming increasingly important in diverse areas such as search, e-commerce, social media, semantic sensor networks, etc. We review past work and explore future research issues relevant to trust in social\\/sensor networks and interactions. We advocate a balanced, iterative approach to trust that marries both theory and practice. On the theoretical side, we investigate models of trust

Krishnaprasad Thirunarayan; Pramod Anantharam; Cory A. Henson; Amit P. Sheth

2010-01-01

147

How women organize social networks different from men  

E-print Network

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 ...

Szell, Michael

148

Estimating Node Influenceability in Social Networks  

E-print Network

Influence analysis is a fundamental problem in social network analysis and mining. The important applications of the influence analysis in social network include influence maximization for viral marketing, finding the most influential nodes, online advertising, etc. For many of these applications, it is crucial to evaluate the influenceability of a node. In this paper, we study the problem of evaluating influenceability of nodes in social network based on the widely used influence spread model, namely, the independent cascade model. Since this problem is #P-complete, most existing work is based on Naive Monte-Carlo (\

Li, Rong-Hua; Shang, Zechao

2012-01-01

149

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

PubMed

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

Garaizar, Pablo; Reips, Ulf-Dietrich

2014-06-01

150

Privacy in Online Social Networks and Richard Chbeir2  

E-print Network

Privacy in Online Social Networks Elie Raad1 and Richard Chbeir2 1 Memorial University richard.chbeir@univ-pau.fr Abstract. Online social networks have become an important part of the online, Social Network Representation; 1 Introduction For the past few years, online social networks experienced

Paris-Sud XI, Université de

151

Predicting Positive and Negative Links in Online Social Networks  

E-print Network

Predicting Positive and Negative Links in Online Social Networks Jure Leskovec Stanford University University kleinber@cs.cornell.edu ABSTRACT We study online social networks in which relationships can be ei social network settings, the vast majority of online social network research has considered only positive

Field, David

152

Searching social networks for subgraph patterns  

NASA Astrophysics Data System (ADS)

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.

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

2013-06-01

153

Geographies of an online social network  

E-print Network

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 resembling to the borders of macro-regions, the highest level of regional administration in...

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

2015-01-01

154

Disease dynamics in a dynamic social network  

NASA Astrophysics Data System (ADS)

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

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

2010-07-01

155

Women’s Social Networks and Birth Attendant Decisions: Application of the Network-Episode Model  

PubMed Central

This paper examines the association of women's social networks with the use of skilled birth attendants in uncomplicated pregnancy and childbirth in Matlab, Bangladesh. The Network-Episode Model was applied to determine if network structure variables (density / kinship homogeneity / strength of ties) together with network content (endorsement for or against a particular type of birth attendant) explain the type of birth attendant used by women above and beyond the variance explained by women's individual attributes. Data were collected by interviewing a representative sample of 246 women, 18–45 years of age, using survey and social network methods between October and December 2008. Logistic regression models were used to examine the associations. Results suggest that the structural properties of networks did not add to explanatory value but instead network content or the perceived advice of network members add significantly to the explanation of variation in service use. Testing aggregate network variables at the individual level extends the ability of the individual profile matrix to explain outcomes. Community health education and mobilization interventions attempting to increase demand for skilled attendants need to reflect the centrality of kinship networks to women in Bangladesh and the likelihood of women to heed the advice of their network of advisors with regard to place of birth. PMID:22196965

Edmonds, Joyce K.; Hruschka, Daniel; Bernard, H. Russell; Sibley, Lynn

2011-01-01

156

Enterprise social networks : engaging employees and sustaining participation  

E-print Network

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 ...

Sharma, Payal

2014-01-01

157

Data retrieval from online social network profiles for social engineering applications  

Microsoft Academic Search

With the increased use of online social networking sites, data retrieval from social networking profiles is becoming a major tool for business. What makes social networking profile data different is its semi-structured format. The structure and the presentation of profile data change all the time. In social networking there is a lack of research into automated data retrieval from semi-structured

Sophia Alim; Ruqayya Abdulrahman; Daniel Neagu; Mick J. Ridley

2009-01-01

158

Spectral Analysis of Rich Network Topology in Social Networks  

ERIC Educational Resources Information Center

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…

Wu, Leting

2013-01-01

159

Violating Social Norms when Choosing Friends: How Rule-Breakers Affect Social Networks  

Microsoft Academic Search

Social networks rely on basic rules of conduct to yield functioning societies in both human and animal populations. As individuals follow established rules, their behavioral decisions shape the social network and give it structure. Using dynamic, self-organizing social network models we demonstrate that defying conventions in a social system can affect multiple levels of social and organizational success independently. Such

Karlo Hock; Nina H. Fefferman

2011-01-01

160

Sociapedia : online collaboration over a social network  

E-print Network

This paper introduces Sociapedia, a collaborative social network application that encourages friends to contribute content about each other. Sociapedia is designed upon the same principles that allowed ordinary web users ...

Kedia, Mihir

2009-01-01

161

Online social network sensors for influenza outbreaks  

E-print Network

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 ...

Everett, Katie Elizabeth

2013-01-01

162

Diffusion of innovations in social networks  

E-print Network

While social networks do affect diffusion of innovations, the exact nature of these effects are far from clear, and, in many cases, there exist conflicting hypotheses among researchers. In this paper, we focus on the linear ...

Acemoglu, Daron

163

Social Networks in Improvement of Health Care  

PubMed Central

Social network is a social structure made of individuals or organizations associated with one or more types of interdependence (friendship, common interests, work, knowledge, prestige, etc.) which are the “nodes” of the network. Networks can be organized to exchange information, knowledge or financial assistance under the various interest groups in universities, workplaces and associations of citizens. Today the most popular and widely used networks are based on application of the Internet as the main ICT. Depending on the method of connection, their field of activity and expertise of those who participate in certain networks, the network can be classified into the following groups: a) Social Networks with personal physical connectivity (the citizens’ associations, transplant networks, etc.), b) Global social internet network (Facebook, Twitter, Skype), c) specific health internet social network (forums, Health Care Forums, Healthcare Industry Forum), d) The health community internet network of non professionals (DailyStrength, CaringBridge, CarePages, MyFamilyHealth), e) Scientific social internet network (BiomedExperts, ResearchGate, iMedExchange), f) Social internet network which supported professionals (HealthBoards, Spas and Hope Association of Disabled and diabetic Enurgi), g) Scientific medical internet network databases in the system of scientific and technical information (CC, Pubmed/Medline, Excerpta Medica/EMBASE, ISI Web Knowledge, EBSCO, Index Copernicus, Social Science Index, etc.). The information in the network are exchanged in real time and in a way that has until recently been impossible in real life of people in the community. Networks allow tens of thousands of specific groups of people performing a series of social, professional and educational activities in the place of living and housing, place of work or other locations where individuals are. Network provides access to information related to education, health, nutrition, drugs, procedures, etc., which gives a special emphasis on public health aspects of information, especially in the field of medicine and health care. The authors of this paper discuss the role and practical importance of social networks in improving the health and solving of health problems without the physical entrance into the health care system. Social networks have their advantages and disadvantages, benefits and costs, especially when it comes to information which within the network set unprofessional people from unreliable sources, without an adequate selection. The ethical aspect of the norms in this segment is still not adequately regulated, so any sanctions for the unauthorized and malicious use of social networks in private and other purposes in order to obtain personal gain at the expense of individuals or groups (sick or healthy, owners of certain businesses and companies, health organizations and pharmaceutical manufacturers, etc.), for which there is still no global or European codes and standards of conduct. Cyber crime is now one of the mostly present types of crime in modern times, as evidenced by numerous scandals that are happening both globally and locally. PMID:23922516

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

2012-01-01

164

Brand communities embedded in social networks.  

PubMed

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

Zaglia, Melanie E

2013-02-01

165

Brand communities embedded in social networks?  

PubMed Central

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

Zaglia, Melanie E.

2013-01-01

166

Social network analysis and dual rover communications  

NASA Astrophysics Data System (ADS)

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.

Litaker, Harry L.; Howard, Robert L.

2013-10-01

167

Reframing practice: creating social learning networks  

Microsoft Academic Search

Purpose – The purpose of this paper is to demonstrate that social learning networks can be implemented and achieve greater results than traditional e-Learning initiatives. Design\\/methodology\\/approach – A case study is used to illustrate the social learning networks framework and pedagogical underpinnings. Findings – The case study shows significant outcomes not previously experienced in face-to-face taught environments. However, there are

Anne Bartlett-Bragg

2009-01-01

168

The social brain network and autism.  

PubMed

Available research data in Autism suggests the role of a network of brain areas, often known as the 'social brain'. Recent studies highlight the role of genetic mutations as underlying patho-mechanism in Autism. This mini review, discusses the basic concepts behind social brain networks, theory of mind and genetic factors associated with Autism. It critically evaluates and explores the relationship between the behavioral outcomes and genetic factors providing a conceptual framework for understanding of autism. PMID:25206065

Misra, Vivek

2014-04-01

169

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

E-print Network

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 friends. Researchers have recently proposed an emerging class of applications that leverage relationships

Zhao, Ben Y.

170

The Social Name-Letter Effect on Online Social Networks  

E-print Network

The Name-Letter Effect states that people have a preference for brands, places, and even jobs that start with the same letter as their own first name. So Sam might like Snickers and live in Seattle. We use social network data from Twitter and Google+ to replicate this effect in a new environment. We find limited to no support for the Name-Letter Effect on social networks. We do, however, find a very robust Same-Name Effect where, say, Michaels would be more likely to link to other Michaels than Johns. This effect persists when accounting for gender, nationality, race, and age. The fundamentals behind these effects have implications beyond psychology as understanding how a positive self-image is transferred to other entities is important in domains ranging from studying homophily to personalized advertising and to link formation in social networks.

Kooti, Farshad; Weber, Ingmar

2014-01-01

171

Personality in the context of social networks  

PubMed Central

There is great interest in environmental effects on the development and evolution of animal personality traits. An important component of an individual's environment is its social environment. However, few studies look beyond dyadic relationships and try to place the personality of individuals in the context of a social network. Social network analysis provides us with many new metrics to characterize the social fine-structure of populations and, therefore, with an opportunity to gain an understanding of the role that different personalities play in groups, communities and populations regarding information or disease transmission or in terms of cooperation and policing of social conflicts. The network position of an individual is largely a consequence of its interactive strategies. However, the network position can also shape an individual's experiences (especially in the case of juveniles) and therefore can influence the way in which it interacts with others in future. Finally, over evolutionary time, the social fine-structure of animal populations (as quantified by social network analysis) can have important consequences for the evolution of personalities—an approach that goes beyond the conventional game-theoretic analyses that assumed random mixing of individuals in populations. PMID:21078661

Krause, J.; James, R.; Croft, D. P.

2010-01-01

172

Information asymmetry, social networking site word of mouth, and mobility effects on social commerce in Korea.  

PubMed

The purpose of this research is to examine the issues that affect customers' behavioral character and purchasing behavior. The study proposes a research hypothesis with independent variables that include social presence, trust, and information asymmetry, and the dependent variable purchase decision making, to explain differentiated customer decision making processes in social commerce (S-commerce). To prove the hypothesis, positive verification was performed by focusing on mediating effects through a customer uncertainty variable and moderating effects through mobility and social networking site word of mouth (SNS WOM) variables. The number of studies on customer trends has rapidly increased together with the market size of S-commerce. However, few studies have examined the negative variables that make customers hesitant to make decisions in S-commerce. This study investigates the causes of customer uncertainty and focuses on deducing the control variables that offset this negative relationship. The study finds that in customers' S-commerce purchasing actions, the SNS WOM and mobility variables show control effects between information asymmetry and uncertainty and between trust and uncertainty. Additionally, this research defines the variables related to customer uncertainty that are hidden in S-commerce, and statistically verifies their relationship. The research results can be used in Internet marketing practices to establish marketing mix strategies for customer demand or as research data to predict customer behavior. The results are scientifically meaningful as a precedent for research on customers in S-commerce. PMID:24355038

Hwang, In Jeong; Lee, Bong Gyou; Kim, Ki Youn

2014-02-01

173

Social media networking: Facebook and Twitter.  

PubMed

The new wave of marketing and practice promotion will include social media networking. This article will discuss Facebook and Twitter. After reading this article you, will have an understanding of these two important aspects of social media and how you might use Facebook and Twitter in your practice to enhance your communication with your existing patients and attract new patients. PMID:21243885

Schneider, Andrew; Jackson, Rem; Baum, Neil

2010-01-01

174

CORE NETWORKS, SOCIAL ISOLATION, AND NEW MEDIA  

Microsoft Academic Search

Evidence from the US General Social Surveys (GSS) suggests that during the past 20 years, people have become increasingly socially isolated and their core discussion networks have become smaller and less diverse. One explanation offered for this trend is the use of mobile phones and the Internet. This study reports on the findings of a 2008 survey that replicates and

Keith N. Hampton; Lauren F. Sessions; Eun Ja Her

2011-01-01

175

Measuring Privacy Risk in Online Social Networks  

Microsoft Academic Search

Measuring privacy risk in online social networks is a challenging task. One of the fundamental difficulties is quantifying the amount of information revealed unin- tentionally. We present PrivAware, a tool to detect and report unintended information loss in online social net- works. Our goal is to provide a rudimentary framework to identify privacy risk and provide solutions to reduce information

Justin Becker

176

Inferring Social Networks from Distributed Bluetooth Scanning  

E-print Network

by the use of Bluetooth and GPS sensors, which allows to obtain data from each one of the mentioned devicesInferring Social Networks from Distributed Bluetooth Scanning Félix Manuel Rubio Kongens Lyngby of information, the system has to collect data from mobile devices to perform a social behavior re- search

177

Mapping search relevance to social networks  

Microsoft Academic Search

This paper explores how information contained in the structure of the social graph can improve search result relevance on social networking websites. Traditional approaches to search include scoring documents for relevance based on a set of keywords or using the link structure across documents to infer quality and relevance. These approaches attempt to optimally match keywords to documents with little

Jonathan Haynes; Igor Perisic

2009-01-01

178

Creating Socially Networked Knowledge through Interdisciplinary Collaboration  

ERIC Educational Resources Information Center

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…

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

2012-01-01

179

Unravelling the Social Network: Theory and Research  

ERIC Educational Resources Information Center

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

Merchant, Guy

2012-01-01

180

Online Formative Assessments with Social Network Awareness  

ERIC Educational Resources Information Center

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…

Lin, Jian-Wei; Lai, Yuan-Cheng

2013-01-01

181

Friendster and publicly articulated social networking  

Microsoft Academic Search

This paper presents ethnographic fieldwork on Friendster, an online dating site utilizing social networks to encourage friend-of-friend connections. I discuss how Friendster applies social theory, how users react to the site, and the tensions that emerge between creator and users when the latter fails to conform to the expectations of the former. By offering this ethnographic piece as an example,

danah michele boyd

2004-01-01

182

Motivating contributors in social media networks  

Microsoft Academic Search

Despite recent advancements in user-driven social media platforms, tools for studying user behavior patterns and motivations remain primitive. We highlight the voluntary nature of user contributions and that users can choose when (and when not) to contribute to the common media pool. We use a Game theoretic framework to study the dynamics of a social media network wherein contribution costs

Vivek K. Singh; Ramesh Jain; Mohan S. Kankanhalli

2009-01-01

183

A measure of Online Social Networks  

Microsoft Academic Search

Online Social Networks (OSN) command a user base of about half a billion users on the Internet. Although the traffic contribution in bytes by OSNs is significantly less than earlier applications responsible for dramatic increase on the Internet (such as peer-to-peer networks), OSNs have already had a profound impact on the Internet. The organic growth in the sheer volume of

Balachander Krishnamurthy

2009-01-01

184

Identifying user behavior in online social networks  

Microsoft Academic Search

Online social networks pose an interesting problem: how to best characterize the different classes of user behavior. Traditionally, user behavior characterization methods, based on user individual features, are not appropriate for online networking sites. In these environments, users interact with the site and with other users through a series of multiple interfaces that let them to upload and view content,

Marcelo Maia; Jussara Almeida; Virgílio Almeida

2008-01-01

185

Chapter 10 Mining Social-Network  

E-print Network

such networks. An important question about a social network is how to identify "communities," that is, subsets of the techniques used to identify communities are similar to the clustering algorithms we discussed in Chapter 7 overlap. For example, you may belong to several communities of friends or classmates. The people from one

Ullman, Jeffrey D.

186

Social Network Supported Process Recommender System  

PubMed Central

Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced. PMID:24672309

Ye, Yanming; Yin, Jianwei; Xu, Yueshen

2014-01-01

187

Social network supported process recommender system.  

PubMed

Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced. PMID:24672309

Ye, Yanming; Yin, Jianwei; Xu, Yueshen

2014-01-01

188

Predicting Influential Users in Online Social Networks  

Microsoft Academic Search

Who are the influential people in an online social network? The answer to\\u000athis question depends not only on the structure of the network, but also on\\u000adetails of the dynamic processes occurring on it. We classify these processes\\u000aas conservative and non-conservative. A random walk on a network is an example\\u000aof a conservative dynamic process, while information spread

Rumi Ghosh; Kristina Lerman

2010-01-01

189

Employment, Social Networks and Undocumented Migrants: The Employer Perspective  

PubMed Central

This article draws on data from qualitative interviews with ethnic enclave and ethnic economy business entrepreneurs from Chinese, Bangladeshi and Turkish-speaking communities in London. Routes into business and worker recruitment practices are explored, demonstrating the centrality of social capital in the form of family and other social networks within these processes. The article investigates what employers consider the desirable characteristics of workers: trust, kinship, gender, social networks, language compatibility and the needs of the business intersect with racialised notions of workers’ strengths and characteristics. Finally, we consider changing practices in relation to the employment of undocumented migrants, in the context of an increasingly punitive legislative regime. The complex and variable impact of policy alongside the ways in which other obligations and positions outweigh the fear and risks of sanctions associated with non-compliance is revealed. PMID:25866421

McKay, Sonia

2015-01-01

190

Visual Matrix Clustering of Social Networks  

SciTech Connect

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.

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

2013-07-01

191

Social Networking Sites and Our Lives  

NSDL National Science Digital Library

This report from the Pew Internet & American Life Project takes a critical look into the social impact of widespread use of social networking sites like Facebook, LinkedIn, MySpace, and Twitter. Written by Keith Hampton, Lauren Sessions Goulet, Lee Rainie, and Kristen Purcell, this 85-page report was published in June 2011. Visitors can download the report or read it online; the materials here also include the survey questions, along with information about the authors' methodology. The report is divided into five parts, including an introduction and a chapter titled "Who are social networking site users?" There are a number of interesting findings here, including the observation that the number of people using social networking sites has nearly doubled since 2008 and their population has gotten significantly older during that time. The report is well written and full of insights that will be of use to media specialists, sociologists, and those with an interest in how technology affects human interaction.

Hampton, Keith

192

Informal learning and identity formation in online social networks  

Microsoft Academic Search

All students today are increasingly expected to develop technological fluency, digital citizenship, and other twenty?first century competencies despite wide variability in the quality of learning opportunities schools provide. Social network sites (SNSs) available via the internet may provide promising contexts for learning to supplement school?based experiences. This qualitative study examines how high school students from low?income families in the USA

Christine Greenhow; Beth Robelia

2009-01-01

193

Developmental stress predicts social network position.  

PubMed

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

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

2014-10-01

194

Online social networking: a primer for radiology.  

PubMed

Online social networking is an immature, but rapidly evolving industry of web-based technologies that allow individuals to develop online relationships. News stories populate the headlines about various websites which can facilitate patient and doctor interaction. There remain questions about protecting patient confidentiality and defining etiquette in order to preserve the doctor/patient relationship and protect physicians. How much social networking-based communication or other forms of E-communication is effective? What are the potential benefits and pitfalls of this form of communication? Physicians are exploring how social networking might provide a forum for interacting with their patients, and advance collaborative patient care. Several organizations and institutions have set forth policies to address these questions and more. Though still in its infancy, this form of media has the power to revolutionize the way physicians interact with their patients and fellow health care workers. In the end, physicians must ask what value is added by engaging patients or other health care providers in a social networking format. Social networks may flourish in health care as a means of distributing information to patients or serve mainly as support groups among patients. Physicians must tread a narrow path to bring value to interactions in these networks while limiting their exposure to unwanted liability. PMID:21360214

Prasanna, Prasanth M; Seagull, F Jacob; Nagy, Paul

2011-10-01

195

A Social Network Comparison of Low-Income Black and White Newlywed Couples.  

PubMed

Relative to White families, Black families have been described as relying on extended social networks to compensate for other social and economic disadvantages. The presence or absence of supportive social networks should be especially relevant to young couples entering marriage, but to date there has been little effort to describe the social networks of comparable Black and White newlyweds. The current study addressed this gap by drawing on interviews with 57 first-married newlyweds from low-income communities to compare the composition and structure of Black and White couples' duocentric social networks. The results indicated that low-income Black couples entered marriage at a social disadvantage relative to White couples, with more family relationships but fewer positive relationships and fewer sources of emotional support (for wives), fewer connections to married individuals, and fewer shared relationships between spouses. Black couples' relative social disadvantages persisted even when various economic and demographic variables were controlled. PMID:25214673

Jackson, Grace L; Kennedy, David; Bradbury, Thomas N; Karney, Benjamin R

2014-10-01

196

The Application of Social Network Analysis to Team Sports  

ERIC Educational Resources Information Center

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…

Lusher, Dean; Robins, Garry; Kremer, Peter

2010-01-01

197

Health and the Structure of Adolescent Social Networks  

ERIC Educational Resources Information Center

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…

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

2010-01-01

198

Social support as a predictor of variability: an examination of the adjustment trajectories of recent widows.  

PubMed

The variability pattern of emotional well-being in recent widows across a 98-day period beginning in the first month post-loss has previously been modeled by dynamical systems and shown to be an oscillating process that damps across time. The goal of the present study was to examine how variables that comprise the social support network predict characteristics of these emotional shifts in 28 recent widows. In the present study, emotional support seeking led to a steeper overall trend, whereas perceived control for social support led to a shallower overall trend. When examining intraindividual variability, instrumental support seeking predicted a slower damping rate. Understanding the individual differences in the variability patterns of recent widows is a necessary step in identifying the etiology of adjustment to widowhood. PMID:16953720

Bisconti, Toni L; Bergeman, Cindy S; Boker, Steven M

2006-09-01

199

The impact of social networking on Emirati teenagers  

Microsoft Academic Search

Social Networking is a very popular term which refers to online services or websites that focus on building social networks among people who like sharing common interests and activities. It allows people to socialise and network with others in an online environment. This research paper aims to study the positive and the negative impact of Social Networking on Emirati teenagers.

Ayesha Buti; Seama Saleh; Sara Hussain; Amala Rajan

2011-01-01

200

The Spread of Behavior in an Online Social Network Experiment  

Microsoft Academic Search

How do social networks affect the spread of behavior? A popular hypothesis states that networks with many clustered ties and a high degree of separation will be less effective for behavioral diffusion than networks in which locally redundant ties are rewired to provide shortcuts across the social space. A competing hypothesis argues that when behaviors require social reinforcement, a network

Damon Centola

2010-01-01

201

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

E-print Network

of malware infections. SOCIAL NETWORKS AND INFECTION MODEL With the growth of new technology trends changed with the social networking revolution. The process of developing social relationships among. Social networking poses an extensive threat because it is a technology-dependent culture. In general

Enbody, Richard

202

Social Networks and Social Support: Implications for Natural Helper and Community Level Interventions  

Microsoft Academic Search

The convincing evidence of the relationship between social support, social networks, and health status has influenced the development of program strategies which are relevant to health education. This article focuses on the linkage between social support and social networks and health education programs which involve interventions at the network and community level. Two broad strategies are addressed: programs enhancing entire

Barbara A. Israel

1985-01-01

203

Systems Approach to Studying Animal Sociality: Individual Position versus Group Organization in Dynamic Social Network Models  

Microsoft Academic Search

Social networks can be used to represent group structure as a network of interacting components, and also to quantify both the position of each individual and the global properties of a group. In a series of simulation experiments based on dynamic social networks, we test the prediction that social behaviors that help individuals reach prominence within their social group may

Karlo Hock; Kah Loon Ng; Nina H. Fefferman; Alison P. Galvani

2010-01-01

204

Massive Social Network Analysis: Mining Twitter for Social Good  

SciTech Connect

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.

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

2010-10-11

205

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

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…

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

2014-01-01

206

Persistent ISR: the social network analysis connection  

NASA Astrophysics Data System (ADS)

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

Bowman, Elizabeth K.

2012-06-01

207

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

PubMed Central

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

Contractor, Noshir S.; DeChurch, Leslie A.

2014-01-01

208

Social network predictors of latrine ownership.  

PubMed

Poor sanitation, including the lack of clean functioning toilets, is a major factor contributing to morbidity and mortality from infectious diseases in the developing world. We examine correlates of latrine ownership in rural India with a focus on social network predictors. Participants from 75 villages provided the names of their social contacts as well as their own relevant demographic and household characteristics. Using these measures, we test whether the latrine ownership of an individual's social contacts is a significant predictor of individual latrine ownership. We also investigate whether network centrality significantly predicts latrine ownership, and if so, whether it moderates the relationship between the latrine ownership of the individual and that of her social contacts. Our results show that, controlling for the standard predictors of latrine ownership such as caste, education, and income, individuals are more likely to own latrines if their social contacts own latrines. Interaction models suggest that this relationship is stronger among those of the same caste, the same education, and those with stronger social ties. We also find that more central individuals are more likely to own latrines, but the correlation in latrine ownership between social contacts is strongest among individuals on the periphery of the network. Although more data is needed to determine how much the clustering of latrine ownership may be caused by social influence, the results here suggest that interventions designed to promote latrine ownership should consider focusing on those at the periphery of the network. The reason is that they are 1) less likely to own latrines and 2) more likely to exhibit the same behavior as their social contacts, possibly as a result of the spread of latrine adoption from one person to another. PMID:24726688

Shakya, Holly B; Christakis, Nicholas A; Fowler, James H

2015-01-01

209

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

ERIC Educational Resources Information Center

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…

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

2008-01-01

210

Social contagion theory: examining dynamic social networks and human behavior  

PubMed Central

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

Christakis, Nicholas A.; Fowler, James H.

2013-01-01

211

Origin of Peer Influence in Social Networks  

NASA Astrophysics Data System (ADS)

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.

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

2014-03-01

212

Group colocation behavior in technological social networks.  

PubMed

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

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

2014-01-01

213

Online social networking and mental health.  

PubMed

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

Pantic, Igor

2014-10-01

214

Strategic Random Networks: Why Social Networking Technology Matters  

E-print Network

This paper develops strategic foundations for an important statistical model of random networks with heterogeneous expected degrees. Based on this, we show how social networking services that subtly alter the costs and indirect benefits of relationships can cause large changes in behavior and welfare. In the model, agents who value friends and friends of friends choose how much to socialize, which increases the probabilities of links but is costly. There is a sharp transition from fragmented, sparse equilibrium networks to connected, dense ones when the value of friends of friends crosses a cost-dependent threshold. This transition mitigates an extreme inefficiency.

Golub, Benjamin

2010-01-01

215

Social Trust Prediction Using Heterogeneous Networks  

PubMed Central

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

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

2014-01-01

216

Social Trust Prediction Using Heterogeneous Networks.  

PubMed

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

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

2013-11-01

217

Sharing location in online social networks  

Microsoft Academic Search

Online social networks (OSNs) have become important media for information sharing among Internet users. In particular, several OSNs provide mechanisms to facilitate sharing of the users' location, which is gaining increased popularity due to the growth of GPS-equipped smartphones. These location-based OSNs (LSNs) bridge users' physical and social worlds, allowing users to know where their friends are and enabling location-based

Nan Li; Guanling Chen

2010-01-01

218

Detecting Emotional Contagion in Massive Social Networks  

PubMed Central

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

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

2014-01-01

219

Visualization of Social Networks with Node Graphs  

NSDL National Science Digital Library

This lesson introduces the concept of node graphs for the purpose of visualizing social networks. The lesson is presented with an introductory physical activity where students create a living graph. Students, building on their existing knowledge regarding common graph types, learn how node graphs can be used to visualize data from social networks. Students will participate in a simulated contagious infection event and will accurately record data about the transmission of the disease. These data will be used to construct a single computer file to be used to create a single node graph for describing the network. Students will then be responsible for understanding how to interpret the resulting network graph in the context of the activity.

Adam Santone

2012-02-13

220

Spatial Epidemic Modelling in Social Networks  

NASA Astrophysics Data System (ADS)

The spread of infectious diseases is highly influenced by the structure of the underlying social network. The target of this study is not the network of acquaintances, but the social mobility network: the daily movement of people between locations, in regions. It was already shown that this kind of network exhibits small world characteristics. The model developed is agent based (ABM) and comprehends a movement model and a infection model. In the movement model, some assumptions are made about its structure and the daily movement is decomposed into four types: neighborhood, intra region, inter region and random. The model is Geographical Information Systems (GIS) based, and uses real data to define its geometry. Because it is a vector model, some optimization techniques were used to increase its efficiency.

Simoes, Joana Margarida

2005-06-01

221

Burstiness and aging in social temporal networks.  

PubMed

The presence of burstiness in temporal social networks, revealed by a power-law form of the waiting time distribution of consecutive interactions, is expected to produce aging effects in the corresponding time-integrated network. Here, we propose an analytically tractable model, in which interactions among the agents are ruled by a renewal process, that is able to reproduce this aging behavior. We develop an analytic solution for the topological properties of the integrated network produced by the model, finding that the time translation invariance of the degree distribution is broken. We validate our predictions against numerical simulations, and we check for the presence of aging effects in a empirical temporal network, ruled by bursty social interactions. PMID:25815972

Moinet, Antoine; Starnini, Michele; Pastor-Satorras, Romualdo

2015-03-13

222

Burstiness and Aging in Social Temporal Networks  

NASA Astrophysics Data System (ADS)

The presence of burstiness in temporal social networks, revealed by a power-law form of the waiting time distribution of consecutive interactions, is expected to produce aging effects in the corresponding time-integrated network. Here, we propose an analytically tractable model, in which interactions among the agents are ruled by a renewal process, that is able to reproduce this aging behavior. We develop an analytic solution for the topological properties of the integrated network produced by the model, finding that the time translation invariance of the degree distribution is broken. We validate our predictions against numerical simulations, and we check for the presence of aging effects in a empirical temporal network, ruled by bursty social interactions.

Moinet, Antoine; Starnini, Michele; Pastor-Satorras, Romualdo

2015-03-01

223

Discrete Opinion Dynamics on Online Social Networks  

NASA Astrophysics Data System (ADS)

This paper focuses on the dynamics of binary opinions {+1, -1} on online social networks consisting of heterogeneous actors. In our model, actors update their opinions under the interplay of social influence and self- affirmation, which leads to rich dynamical behaviors on online social networks. We find that the opinion leading to the consensus features an advantage of the initially weighted fraction based on actors' strength over the other, instead of the population. For the role of specific actors, the consensus converges towards the opinion that a small fraction of high-strength actors hold, and individual diversity of self-affirmation slows down the ordering process of consensus. These indicate that high-strength actors play an essential role in opinion formation with strong social influence as well as high persistence. Further investigations show that the initial fraction of high-strength actors to dominate the evolution depends on the heterogeneity of the strength distribution, and less high-strength actors are needed in the case of a smaller exponent of power-law distribution of actors' strength. Our study provides deep insights into the role of social influence and self-affirmation on opinion formation on online social networks.

Hu, Yan-Li; Bai, Liang; Zhang, Wei-Ming

2013-01-01

224

Googling Social Interactions: Web Search Engine Based Social Network Construction  

PubMed Central

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

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

2010-01-01

225

Chapter 7 Social network analysis 7.1 Introduction  

E-print Network

and contacts on the Island described the community as "tight-knit", and spoke about extensive and active social, stated or assumed network of relationships. Thus, social network studies often contradict cultural

226

Semantic social network portal for collaborative online  

Microsoft Academic Search

Purpose - The motivation for this investigation is to apply social networking features to a semantic network portal, which supports the efforts in enterprise training units to up-skill the employee in the company, and facilitates the creation and reuse of knowledge in online communities. Design\\/methodology\\/approach - The paper provides an overview of an emerging area for work-related research in the

Ina O'Murchu; John Breslin; Stefan Decker; Deirdre Hogan

227

Toward Understanding Friendship in Online Social Networks  

Microsoft Academic Search

All major on-line social networks, such as MySpace, Facebook, LiveJournal,\\u000aand Orkut, are built around the concept of friendship. It is not uncommon for a\\u000asocial network participant to have over 100 friends. A natural question arises:\\u000aare they all real friends of hers, or does she mean something different when\\u000ashe calls them \\

Dmitry Zinoviev; Vy Duong

2009-01-01

228

Admission Control in Variable Capacity Communication Networks  

NASA Astrophysics Data System (ADS)

This paper defines a theoretical framework based on Markov Decision Processes (MDP) to deal with call control algorithms in links with variable capacity supporting multiple classes of service. The variable capacity problem, which arises in wireless network scenarios, is addressed by incorporating the link model into the MDP formulation and by introducing, beside the standard call admission policy, a call dropping policy. In this way, the proposed approach is capable of controlling class-level quality of service in terms of both blocking and dropping probabilities.

Pietrabissa, A.; Priscoli, F. Delli

229

Discovery of Information Diffusion Process in Social Networks  

NASA Astrophysics Data System (ADS)

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

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

230

Variable neural networks for adaptive control of nonlinear systems  

Microsoft Academic Search

This paper is concerned with the adaptive control of continuous-time nonlinear dynamical systems using neural networks. A novel neural network architecture, referred to as a variable neural network, is proposed and shown to be useful in approximating the unknown nonlinearities of dynamical systems. In the variable neural networks, the number of basis functions can be either increased or decreased with

Guoping P. Liu; Visakan Kadirkamanathan; Stephen A. Billings

1999-01-01

231

Social networks of professionals in health care organizations: a review.  

PubMed

In this article, we provide an overview of social network research in health care, with a focus on social interactions between professionals in organizations. We begin by introducing key concepts defining the social network approach, including network density, centrality, and brokerage. We then review past and current research on the antecedents of health care professionals' social networks-including demographic attributes, professional groups, and organizational arrangements-and their consequences-including satisfaction at work, leadership, behaviors, knowledge transfer, diffusion of innovation, and performance. Finally, we examine future directions for social network research in health care, focusing on micro-macro linkages and network dynamics. PMID:25380607

Tasselli, Stefano

2014-12-01

232

Social networks for lonely objects  

E-print Network

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 ...

Kestner, John Anthony

2010-01-01

233

Place-Based Social Network Quality and Correlates of Substance Use among Urban Adolescents  

ERIC Educational Resources Information Center

A sample of 301 Philadelphia adolescents were assessed for substance use and place-based social network quality, a weighted variable based upon risky and protective behaviors of alters. The network measure was anchored in routine locations identified as safe, risky, important, or favorite. Results show young females' (13-16) substance use was…

Mason, Michael J.; Valente, Thomas W.; Coatsworth, J. Douglas; Mennis, Jeremy; Lawrence, Frank; Zelenak, Patricia

2010-01-01

234

Social contagion of risk perceptions in environmental management networks.  

PubMed

An important requisite for improving risk communication practice related to contentious environmental issues is having a better theoretical understanding of how risk perceptions function in real-world social systems. Our study applied Scherer and Cho's social network contagion theory of risk perception (SNCTRP) to cormorant management (a contentious environmental management issue) in the Great Lakes Basin to: (1) assess contagion effects on cormorant-related risk perceptions and individual factors believed to influence those perceptions and (2) explore the extent of social contagion in a full network (consisting of interactions between and among experts and laypeople) and three "isolated" models separating different types of interactions from the full network (i.e., expert-to-expert, layperson-to-layperson, and expert-to-layperson). We conducted interviews and administered questionnaires with experts (e.g., natural resource professionals) and laypeople (e.g., recreational and commercial anglers, business owners, bird enthusiasts) engaged in cormorant management in northern Lake Huron (n = 115). Our findings generally support the SNCTRP; however, the scope and scale of social contagion varied considerably based on the variables (e.g., individual risk perception factors), actors (i.e., experts or laypeople), and interactions of interest. Contagion effects were identified more frequently, and were stronger, in the models containing interactions between experts and laypeople than in those models containing only interactions among experts or laypeople. PMID:23231537

Muter, Bret A; Gore, Meredith L; Riley, Shawn J

2013-08-01

235

Social Networking: Boundaries and Limits Part 1: Ethics  

ERIC Educational Resources Information Center

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…

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

2014-01-01

236

Competition for Content Spread over Multiple Social Networks  

E-print Network

social media advertisements. The proliferation of mobile Internet and smartphones have ensuredCompetition for Content Spread over Multiple Social Networks Srinivasan Venkatramanan and Anurag to their potential consumers via two different online social networks. The efficiency of a network for information

Kumar, Anurag

237

Multi-Objective Query Optimization in Smartphone Social Networks  

E-print Network

Multi-Objective Query Optimization in Smartphone Social Networks Andreas Konstantinidis, Demetrios. INTRODUCTION The widespread deployment of smartphone devices and the advent of social networks have brought, despite the controversial privacy concerns. Similarly, mobile social 1We define a Smartphone Network as "a

Zeinalipour, Demetris

238

Estimating Usage Can Reduce the Stress of Social Networking  

E-print Network

Estimating Usage Can Reduce the Stress of Social Networking Abstract Social networks are increasingly popular and provide benefits such as easy peer group communication. However, there is evidence participants with an objective measure of their social network usage and also asked them for a daily estimate

Subramanian, Sriram

239

Autotagging Facebook: Social network context improves photo annotation  

Microsoft Academic Search

Most personal photos that are shared online are embedded in some form of social network, and these social networks are a potent source of contextual information that can be leveraged for automatic image understanding. In this paper, we investigate the utility of social network context for the task of automatic face recognition in personal photographs. We combine face recognition scores

Zak Stone; Todd Zickler; Trevor Darrell

2008-01-01

240

Circle-based Recommendation in Online Social Networks Xiwang Yang  

E-print Network

Circle-based Recommendation in Online Social Networks Xiwang Yang ECE Department Polytechnic York yongliu@poly.edu ABSTRACT Online social network information promises to increase rec- ommendation serve users' activities across different domains, many online social networks now support a new feature

Liu, Yong

241

A Two-Stage Deanonymization Attack against Anonymized Social Networks  

E-print Network

left by users of online social networking services, even after anonymization, are susceptible, two popular online social networking services, rank at second and ninth place, respectively. One characteristic of online social networking services is their emphasis on the users and their connections

Wu, Jie

242

Measurement and Analysis of Online Social Networks Alan Mislove  

E-print Network

Measurement and Analysis of Online Social Networks Alan Mislove MPI for Software Systems Campus E1 Science Department University of Maryland College Park, MD 20742 ABSTRACT Online social networking sites systems and to design new applications of online social networks. This paper presents a large

Gummadi, Krishna P.

243

Using Social Networks to Create Powerful Learning Communities  

ERIC Educational Resources Information Center

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…

Lenox, Marianne; Coleman, Maurice

2010-01-01

244

Scalable proximity estimation and link prediction in online social networks  

Microsoft Academic Search

Proximity measures quantify the closeness or similarity between nodes in a social network and form the basis of a range of appli- cations in social sciences, business, information technology, com- puter networks, and cyber security. It is challenging to estimate proximity measures in online social networks due to their massive scale (with millions of users) and dynamic nature (with hundreds

Han Hee Song; Tae Won Cho; Vacha Dave; Yin Zhang; Lili Qiu

2009-01-01

245

Analysis of User Keyword Similarity in Online Social Networks  

E-print Network

1 Analysis of User Keyword Similarity in Online Social Networks Prantik Bhattacharyya, Ankush Garg and the social network topology. A user profile in an online social network is characterized by its profile. First, we present a `forest model' to categorize keywords across multiple categorization trees

California at Davis, University of

246

Exploring Educational and Cultural Adaptation through Social Networking Sites  

ERIC Educational Resources Information Center

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…

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

2011-01-01

247

Social selection and peer influence in an online social network  

PubMed Central

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

Lewis, Kevin; Gonzalez, Marco; Kaufman, Jason

2012-01-01

248

Social selection and peer influence in an online social network.  

PubMed

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

Lewis, Kevin; Gonzalez, Marco; Kaufman, Jason

2012-01-01

249

A model for the generation of social network graphs  

Microsoft Academic Search

In this paper we present and evaluate a social network model which exploits fundamental results coming from the social anthropology literature. Specifically, our model focuses on ego networks, i.e., the set of active social rela- tionships for a given individual. The model is based on a function that correlates the level of emotional closeness of a social relationship to the

Marco Conti; Andrea Passarella; Fabio Pezzoni

2011-01-01

250

The Benefits and Limitations of Social Networking  

ERIC Educational Resources Information Center

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.…

Strom, Paris; Strom, Robert

2012-01-01

251

Protecting Personal Information on Social Networking Sites  

ERIC Educational Resources Information Center

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.

Gallant, David T.

2011-01-01

252

Social network support for data delivery infrastructures  

E-print Network

-generated content, which need to be staged close to viewers to control latency and jitter. Our traces show that a preference for the unpopular tail items often spreads virally and is localised to some part of the social network. Exploiting this, we propose Buzztraq...

Sastry, Nishanth Ramakrishna

2011-10-11

253

Social Networking: A Collaborative Open Educational Resource  

ERIC Educational Resources Information Center

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…

Toetenel, Lisette

2014-01-01

254

Social Networking Tools for Academic Libraries  

ERIC Educational Resources Information Center

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…

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

2013-01-01

255

Social Networking Postings: Views from School Principals  

ERIC Educational Resources Information Center

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…

Griffin, Marlynn M.; Lake, Robert L.

2012-01-01

256

Security and Privacy in Online Social Networks  

NASA Astrophysics Data System (ADS)

Social Network Services (SNS) are currently drastically revolutionizing the way people interact, thus becoming de facto a predominant service on the web, today.1 The impact of this paradigm change on socioeconomic and technical aspects of collaboration and interaction is comparable to that caused by the deployment of World Wide Web in the 1990s.

Cutillo, Leucio Antonio; Manulis, Mark; Strufe, Thorsten

257

Involuntary Information Leakage in Social Network Services  

E-print Network

the identified involuntary information leakage problem. 1 Introduction Social network services (SNS) represent personal information This work was supported in part by Taiwan Information Security Center (TWISC addressed the problems of privacy invasion and security threats raised by information exposure online, e

Chen, Sheng-Wei

258

Contrail: Enabling Decentralized Social Networks on Smartphones  

Microsoft Academic Search

Mobile devices are increasingly used for social networking applications, where data is shared between devices belonging to different users. Today, such applications are implemented as centralized services, forcing users to trust corporations with their personal data. While decentralized designs for such applications can provide privacy, they are difficult to achieve on current devices due to constraints on connectivity, energy and

Patrick Stuedi; Iqbal Mohomed; Mahesh Balakrishnan; Venugopalan Ramasubramanian; Ted Wobber; Doug Terry; Morley Mao

2011-01-01

259

Contrail: Enabling Decentralized Social Networks on Smartphones  

Microsoft Academic Search

Mobile devices are increasingly used for social networking applications, where data is shared between devices belonging to different users. Today, such applications are implemented as centralized services, forcing users to trust corporations with their personal data. While decentralized designs for such applications can provide privacy, they are difficult to achieve on current devices due to constraints on connectivity, energy and

Patrick Stuedi; Iqbal Mohomed; Mahesh Balakrishnan; Venugopalan Ramasubramanian; Doug Terry; Ted Wobber; Z. Morley Mao

2010-01-01

260

Behavioural Ecology: Social Networking for Dullards  

E-print Network

house finches can improve their mating success by moving to a different social network, where, and the background, such as strong shadows on a wall. Although I might balk at comparing dull male house finches to the beauty of `The Kitchen Maid', a recent paper [1] suggests that female house finches may think differently

Badyaev, Alex

261

Social Network Structures among Groundnut Farmers  

ERIC Educational Resources Information Center

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.…

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

262

Characterizing privacy in online social networks  

Microsoft Academic Search

Online social networks (OSNs) with half a billion users have dramatically raised concerns on privacy leakage. Users, often willingly, share personal identifying information about themselves, but do not have a clear idea of who accesses their private information or what portion of it really needs to be accessed. In this study we examine popular OSNs from a viewpoint of characterizing

Balachander Krishnamurthy; Craig E. Wills

2008-01-01

263

Analysis of tag within online social networks  

Microsoft Academic Search

In recent years, tagging systems have been paid increasing attentions from both research communities and system designers. Most popular online social networking sites harness tag for managing and locating contents, for organizing and connecting users, and for recommending and sharing resources. We believe that tag acts like bridge between people and resources. Research on tag and tagging behavior will provide

Chao Wu; Bo Zhou

2009-01-01

264

Scaling Online Social Networks without Pains  

Microsoft Academic Search

Online Social Networks (OSN) face serious scalability chal- lenges due to their rapid growth and popularity. To address this issue we present a novel approach to scale up OSN called One Hop Replication (OHR). Our system combines par- titioning and replication in a middleware to transparently scale up a centralized OSN design, and therefore, avoid the OSN application to undergo

Josep M. Pujol; Georgos Siganos; Vijay Erramilli; Pablo Rodriguez

265

Ethical Considerations of Social Networking for Counsellors  

ERIC Educational Resources Information Center

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

Bratt, William Edgar Vernon

2010-01-01

266

Libraries' Place in Virtual Social Networks  

ERIC Educational Resources Information Center

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

Mathews, Brian S.

2007-01-01

267

Trust Management in Online Social Networks  

Microsoft Academic Search

The concept of trust has been studied significantly by researchers in philosophy, psychology and sociology; research in these fields show that trust is a subjective view that varies greatly among people, situations and environments. This very subjective characteristic of trust however, has been largely overlooked within trust management used in the online social network (OSN) scenario. To date, trust management

Bo Fu; Declan O'Sullivan

268

Using Social Networking in the Library  

ERIC Educational Resources Information Center

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…

Lindsay, Elizabeth Blakesley

2009-01-01

269

Social Dynamics within Electronic Networks of Practice  

ERIC Educational Resources Information Center

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…

Mattson, Thomas A., Jr.

2013-01-01

270

Adaptive Bayesian agents: Enabling distributed social networks  

Microsoft Academic Search

This article brings together two views of organisations: res ource-based theories (RBT) and social network analysis (SNA). Resource-based theories stress the importance of tangible assets, as well as less tangible ones, in the competitive advantage and success of organisations. However, they provide little insight into how resources are brought together by an organisation to generate core competencies that provide a

A. Potgieter; K. A. April; R. J. E. Cooke; M. Lockett

2006-01-01

271

Networking Serendipitous Social Encounters in Urban Neighbourhoods  

Microsoft Academic Search

In urban residential environments in Australia and other developed countries, Internet access is on the verge of becoming a ubiquitous utility like water or electricity. From an urban informatics perspective, this chapter discusses emerging qualities of social formations of urban residents that are based on networked individualism and the potential of internet-based systems to support them. It proposes that appropriate

Marcus Foth

272

Exploring Social Networking: Developing Critical Literacies  

ERIC Educational Resources Information Center

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…

Watson, Pauline

2012-01-01

273

Mining directed social network from message board  

Microsoft Academic Search

In the paper, we present an approach to mining a directed social network from a message board on the Internet where vertices denote individuals and directed links denote the flow of influence. The influence is measured based on propagating terms among individuals via messages. The distance with respect to contextual similarity between individuals is acquired since the influence indicates the

Naohiro Matsumura; David E. Goldberg; Xavier Llorà

2005-01-01

274

Personalised and dynamic trust in social networks  

Microsoft Academic Search

We propose a novel trust metric for social networks which is suitable for application in recommender systems. It is personalised and dynamic and allows to compute the indirect trust between two agents which are not neighbours based on the direct trust between agents that are neighbours. In analogy to some personalised versions of PageRank, this metric makes use of the

Frank Edward Walter; Stefano Battiston; Frank Schweitzer

2009-01-01

275

Evaluation in health informatics: social network analysis  

Microsoft Academic Search

Social network analysis comprises a set of research methods that can be used to analyze the relationships among entities such as people, departments, and organizations. The purpose of the analysis is to discover patterns of relationships that affect both individual and organizational attitudes and behavior such as the adoption, diffusion, and use of new medical informatics applications. This paper presents

James G. Anderson

2002-01-01

276

Do Social Networks Improve e-Commerce? A Study on Social Marketplaces  

E-print Network

links. For example, many believe that by augmenting online marketplaces with social networking, we can of friends (FOF). To evaluate the potential impact of social networking on online marketplaces, we study user is an online auction house similar to eBay and uBid, but is unique in its integration of a social network

Zhao, Ben Y.

277

Do Social Networks Improve eCommerce? A Study on Social Marketplaces  

E-print Network

links. For example, many believe that by augmenting online marketplaces with social networking, we can of friends (FOF). To evaluate the potential impact of social networking on online marketplaces, we study user is an online auction house similar to eBay and uBid, but is unique in its integration of a social network

Zhao, Ben Y.

278

SocialRank : ranking users and information in online social networks  

E-print Network

The goal of this project is to explore the design and implementation of SocialRank. SocialRank is a personalized ranking algorithm that provides--for each user--ratings for people in his online social network. Subsequently, ...

Tarbzouni, Abdulrahman I

2009-01-01

279

Influence of Reciprocal Links in Social Networks  

PubMed Central

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

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

2014-01-01

280

Social networks among Indigenous peoples in Mexico.  

PubMed

We examine the extent to which social networks among indigenous peoples in Mexico have a significant effect on a variety of human capital investment and economic activities, such as school attendance and work among teenage boys and girls, and migration, welfare participation, employment status, occupation, and sector of employment among adult males and females. Using data from the 10 percent population sample of the 2000 Population and Housing Census of Mexico and the empirical strategy that Bertrand, Luttmer, and Mullainathan (2000) propose, which allows us to take into account the role of municipality and language group fixed effects, we confirm empirically that social network effects play an important role in the economic decisions of indigenous people, especially in rural areas. Our analysis also provides evidence that better access to basic services such as water and electricity increases the size and strength of network effects in rural areas. PMID:21188887

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

2010-01-01

281

Social Networking and the Social and Emotional Wellbeing of Adolescents in Australia  

ERIC Educational Resources Information Center

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…

Bourgeois, Amanda; Bower, Julie; Carroll, Annemaree

2014-01-01

282

Help from My "Friends": Social Capital in the Social Network Sites of Low-Income Students  

ERIC Educational Resources Information Center

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…

Greenhow, Christine; Burton, Lisa

2011-01-01

283

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

ERIC Educational Resources Information Center

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,…

Ahn, June

2010-01-01

284

Fluctuations and Slow Variables in Genetic Networks  

PubMed Central

Computer simulations of large genetic networks are often extremely time consuming because, in addition to the biologically interesting translation and transcription reactions, many less interesting reactions like DNA binding and dimerizations have to be simulated. It is desirable to use the fact that the latter occur on much faster timescales than the former to eliminate the fast and uninteresting reactions and to obtain effective models of the slow reactions only. We use three examples of self-regulatory networks to show that the usual reduction methods where one obtains a system of equations of the Hill type fail to capture the fluctuations that these networks exhibit due to the small number of molecules; moreover, they may even miss describing the behavior of the average number of proteins. We identify the inclusion of fast-varying variables in the effective description as the cause for the failure of the traditional schemes. We suggest a different effective description, which entails the introduction of an additional species, not present in the original networks, that is slowly varying. We show that this description allows for a very efficient simulation of the reduced system while retaining the correct fluctuations and behavior of the full system. This approach ought to be applicable to a wide range of genetic networks. PMID:12609864

Bundschuh, R.; Hayot, F.; Jayaprakash, C.

2003-01-01

285

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

ERIC Educational Resources Information Center

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…

Lisboa, Eliana Santana; Coutinho, Clara Pereira

2011-01-01

286

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

ERIC Educational Resources Information Center

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)…

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

2014-01-01

287

Social VPNs: Integrating Overlay and Social Networks for Seamless P2P Networking  

Microsoft Academic Search

In this paper we introduce Social VPNs, a novel system architecture which leverages existing social net- working infrastructures to enable ad-hoc VPNs which are self-configuring, self-managing, yet maintain secu- rity against untrusted parties. The key principles in our approach are: (1) self-configuring virtual network overlays enable seamless bi-directional IP-layer connec- tivity among parties linked by means of social connec- tions;

Renato J. Figueiredo; David Wolinsky

288

Dynamic social networks in recovery homes.  

PubMed

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

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

2014-06-01

289

Community structure in social and biological networks  

PubMed Central

A number of recent studies have focused on the statistical properties of networked systems such as social networks and the Worldwide Web. Researchers have concentrated particularly on a few properties that seem to be common to many networks: the small-world property, power-law degree distributions, and network transitivity. In this article, we highlight another property that is found in many networks, the property of community structure, in which network nodes are joined together in tightly knit groups, between which there are only looser connections. We propose a method for detecting such communities, built around the idea of using centrality indices to find community boundaries. We test our method on computer-generated and real-world graphs whose community structure is already known and find that the method detects this known structure with high sensitivity and reliability. We also apply the method to two networks whose community structure is not well known—a collaboration network and a food web—and find that it detects significant and informative community divisions in both cases. PMID:12060727

Girvan, M.; Newman, M. E. J.

2002-01-01

290

Online and offline social networks: Use of social networking sites by emerging adults  

Microsoft Academic Search

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 responded, in person and online, to questions about their online

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

2008-01-01

291

Exploratory community sensing in social networks  

NASA Astrophysics Data System (ADS)

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.

Khrabrov, Alexy; Stocco, Gabriel; Cybenko, George

2010-04-01

292

Social Capital Theory: Implications for Women's Networking and Learning  

ERIC Educational Resources Information Center

This chapter describes social capital theory as a framework for exploring women's networking and social capital resources. It presents the foundational assumptions of the theory, the benefits and risks of social capital engagement, a feminist critique of social capital, and the role of social capital in adult learning.

Alfred, Mary V.

2009-01-01

293

Countervailing Social Network Influences on Problem Behaviors among Homeless Youth  

ERIC Educational Resources Information Center

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…

Rice, Eric; Stein, Judith A.; Milburn, Norweeta

2008-01-01

294

Text documents as social networks  

NASA Astrophysics Data System (ADS)

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.

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

2012-03-01

295

Mathematical model for spreading dynamics of social network worms  

NASA Astrophysics Data System (ADS)

In this paper, a mathematical model for social network worm spreading is presented from the viewpoint of social engineering. This model consists of two submodels. Firstly, a human behavior model based on game theory is suggested for modeling and predicting the expected behaviors of a network user encountering malicious messages. The game situation models the actions of a user under the condition that the system may be infected at the time of opening a malicious message. Secondly, a social network accessing model is proposed to characterize the dynamics of network users, by which the number of online susceptible users can be determined at each time step. Several simulation experiments are carried out on artificial social networks. The results show that (1) the proposed mathematical model can well describe the spreading dynamics of social network worms; (2) weighted network topology greatly affects the spread of worms; (3) worms spread even faster on hybrid social networks.

Sun, Xin; Liu, Yan-Heng; Li, Bin; Li, Jin; Han, Jia-Wei; Liu, Xue-Jie

2012-04-01

296

Degree correlations in signed social networks  

NASA Astrophysics Data System (ADS)

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.

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

2015-03-01

297

Social Capital in a Social Network Framework: An Analysis of Social Spaces in Region of Tarapaca (Chile)  

Microsoft Academic Search

This paper uses Social Capital analysis, including Social Networks tools, to evaluate the participation levels in social organization as a context for social interactions. The social area under study includes 10 municipalities located in Region of Tarapaca in Chile, a region that presents some interesting cultural features that are expected to affect the levels of participation and the way in

Marcelo L. Lufin

298

Privacy policies for shared content in social network sites  

Microsoft Academic Search

Social networking is one of the major technological phenomena of the Web 2.0, with hundreds of millions of subscribed users.\\u000a Social networks enable a form of self-expression for users and help them to socialize and share content with other users.\\u000a In spite of the fact that content sharing represents one of the prominent features of existing Social network sites, they

Anna Cinzia Squicciarini; Mohamed Shehab; Joshua Wede

2010-01-01

299

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

PubMed Central

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

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

2010-01-01

300

A practical guide to social networks.  

PubMed

Saying that networks are important is stating the obvious. But harnessing the power of these seemingly invisible groups to achieve organizational goals is an elusive undertaking. Most efforts to promote collaboration are haphazard and built on the implicit philosophy that more connectivity is better. In truth, networks create relational demands that sap people's time and energy and can bog down entire organizations. It's crucial for executives to learn how to promote connectivity only where it benefits an organization or individual and to decrease unnecessary connections. In this article, the authors introduce three types of social networks, each of which delivers unique value. The customized response network excels at framing the ambiguous problems involved in innovation. Strategy consulting firms and new-product development groups rely on this format. By contrast, surgical teams and law firms rely mostly on the modular response network, which works best when components of the problem are known but the sequence of those components in the solution is unknown. And the routine response network is best suited for organizations like call centers, where the problems and solutions are fairly predictable but collaboration is still needed. Executives shouldn't simply hope that collaboration will spontaneously occur in the right places atthe right times in their organization. They need to develop a strategic, nuanced view of collaboration, and they must take steps to ensure that their companies support the types of social networks that best fit their goals. Drawing on examples from Novartis, the FAA, and Sallie Mae, the authors offer managers the tools they need to determine which network will deliver the best results for their organizations and which strategic investments will nurture the right degree of connectivity. PMID:15768681

Cross, Rob; Liedtka, Jeanne; Weiss, Leigh

2005-03-01

301

Rumor diffusion in an interests-based dynamic social network.  

PubMed

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

Tang, Mingsheng; Mao, Xinjun; Guessoum, Zahia; Zhou, Huiping

2013-01-01

302

Rumor Diffusion in an Interests-Based Dynamic Social Network  

PubMed Central

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

Mao, Xinjun; Guessoum, Zahia; Zhou, Huiping

2013-01-01

303

Using Online Social Networks to Foster Preservice Teachers' Membership in a Networked Community of Praxis  

ERIC Educational Resources Information Center

New social technologies offer new opportunities for creating online communities of praxis in the preparation of preservice teachers. In this design research study, 22 preservice teachers in a social studies methods class conducted online class discussions inside the National Council of the Social Studies Network Ning, a social network for social

Reich, Justin; Levinson, Meira; Johnston, William

2011-01-01

304

Rapid innovation diffusion in social networks  

PubMed Central

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

Kreindler, Gabriel E.; Young, H. Peyton

2014-01-01

305

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

E-print Network

Social Class and Radial Cohesion 9 Tests of Social Class and Radial Cohesion Hypotheses 10 4: LocalNSF 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

White, Douglas R.

306

Privacy policies for health social networking sites.  

PubMed

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

Li, Jingquan

2013-01-01

307

Privacy policies for health social networking sites  

PubMed Central

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

Li, Jingquan

2013-01-01

308

Resolving social dilemmas on evolving random networks  

NASA Astrophysics Data System (ADS)

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.

Szolnoki, Attila; Perc, Matjaž

2009-05-01

309

Recommender System from Personal Social Networks  

Microsoft Academic Search

Recommender systems are found in many modern web sites for applications such as recommending products to customers. In this\\u000a paper we propose a new method for recommender system that employs the users’ social network in order to provide better recommendation\\u000a for media items such as movies or TV shows. As part of this paper we develop a new paradigm for

David Ben-shimon; Alexander Tsikinovsky; Lior Rokach; Amnon Meisels; Guy Shani; Lihi Naamani

2007-01-01

310

Social Network Sites: Definition History and Scholarship  

Microsoft Academic Search

Abstract Social network,sites,(SNSs) are increasingly attracting the attention of academic,and,industry researchers intrigued by their affordances and reach.,This special theme section of the,Journal,of Computer-Mediated,Communicationbrings ,together scholarship on these emergent phenomena.,In this introductory article, we describe features of SNSs and propose a comprehensive definition. We then present one perspective on the history of such sites, discussing key changes and developments. After briefly

Danah Boyd; Nicole B. Ellison

2007-01-01

311

Social networking technology, social network composition, and reductions in substance use among homeless adolescents.  

PubMed

Peer-based prevention programs for homeless youth are complicated by the potential for reinforcing high-risk behaviors among participants. The goal of this study is to understand how homeless youth could be linked to positive peers in prevention programming by understanding where in social and physical space positive peers for homeless youth are located, how these ties are associated with substance use, and the role of social networking technologies (e.g., internet and cell phones) in this process. Personal social network data were collected from 136 homeless adolescents in Los Angeles, CA. Respondents reported on composition of their social networks with respect to: home-based peers and parents (accessed via social networking technology; e.g., the internet, cell phone, texting), homeless peers and agency staff (accessed face-to-face) and whether or not network members were substance-using or non-substance-using. Associations between respondent's lifetime cocaine, heroin, and methamphetamine use and recent (previous 30 days) alcohol and marijuana use were assessed by the number of non-substance-using versus substance-using ties in multivariate linear regression models. 43% of adolescents reported a non-substance-using home-based tie. More of these ties were associated with less recent alcohol use. 62% of adolescents reported a substance-using homeless tie. More of these ties were associated with more recent marijuana use as well as more lifetime heroin and methamphetamine use. For homeless youth, who are physically disconnected from positive peers, social networking technologies can be used to facilitate the sorts of positive social ties that effective peer-based prevention programs require. PMID:21194011

Rice, Eric; Milburn, Norweeta G; Monro, William

2011-03-01

312

Qualitative Analysis of Commercial Social Network Profiles  

NASA Astrophysics Data System (ADS)

Social-networking sites have become an integral part of many users' daily internet routine. Commercial enterprises have been quick to recognize this and are subsequently creating profiles for many of their products and services. Commercial enterprises use social network profiles to target and interact with potential customers as well as to provide a gateway for users of the product or service to interact with each other. Many commercial enterprises use the statistics from their product or service's social network profile to tout the popularity and success of the product or service being showcased. They will use statistics such as number of friends, number of daily visits, number of interactions, and other similar measurements to quantify their claims. These statistics are often not a clear indication of the true popularity and success of the product. In this chapter the term product is used to refer to any tangible or intangible product, service, celebrity, personality, film, book, or other entity produced by a commercial enterprise.

Melendez, Lester; Wolfson, Ouri; Adjouadi, Malek; Rishe, Naphtali

313

Assessing group interaction with social language network analysis.  

SciTech Connect

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.

Pennebaker, James (UT Austin); Scholand, Andrew Joseph; Tausczik, Yla R. (UT Austin)

2010-04-01

314

Improving Family Forest Knowledge Transfer through Social Network Analysis  

ERIC Educational Resources Information Center

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

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

2012-01-01

315

Optimizing Offline Access to Social Network Content on Mobile Devices  

E-print Network

social networks on their smartphones [1] and often this is the reason why they purchase smartphonesOptimizing Offline Access to Social Network Content on Mobile Devices Ngoc Do1, Ye Zhao1, Shu-Chu, Taiwan Abstract--In this paper, we explore the problem of supporting efficient access to social media

Venkatasubramanian, Nalini

316

Solutions to Security and Privacy Issues in Mobile Social Networking  

E-print Network

intended. In particular, increased use of smartphones capable of running applications which access socialSolutions to Security and Privacy Issues in Mobile Social Networking Aaron Beach, Mike Gartrell Abstract--Social network information is now being used in ways for which it may have not been originally

Han, Richard Y.

317

Bridging the gap between physical location and online social networks  

Microsoft Academic Search

This paper examines the location traces of 489 users of a location sharing social network for relationships between the users' mobility patterns and structural properties of their underlying social network. We introduce a novel set of location-based features for analyzing the social context of a geographic region, including location entropy, which measures the diversity of unique visitors of a location.

Justin Cranshaw; Eran Toch; Jason I. Hong; Aniket Kittur; Norman Sadeh

2010-01-01

318

Dynamic Structural Equation Models for Tracking Cascades Over Social Networks  

E-print Network

of the topology plays a crucial role for several reasons e.g., when social media advertisers select a small setDynamic Structural Equation Models for Tracking Cascades Over Social Networks Brian Baingana and leveraging the sparse connectivity inherent to social networks, edge weights are estimated by minimizing

Pratt, Vaughan

319

Social Networking Technologies: A "Poke" for Campus Services  

ERIC Educational Resources Information Center

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…

Berg, Joanne; Berquam, Lori; Christoph, Kathy

2007-01-01

320

The role of social networks in students' learning experiences  

Microsoft Academic Search

The aim of this research is to investigate the role of social networks in computer science education. The Internet shows great potential for enhancing collaboration between people and the role of social software has become increasingly rele- vant in recent years. This research focuses on analyzing the role that social networks play in students' learning experi- ences. The construction of

Ilaria Liccardi; Asma Ounnas; Reena Pau; Elizabeth Massey; Päivi Kinnunen; Sarah Lewthwaite; Marie-anne Midy; Chandan Sarkar

2007-01-01

321

Transfer of Training: Adding Insight through Social Network Analysis  

ERIC Educational Resources Information Center

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…

Van den Bossche, Piet; Segers, Mien

2013-01-01

322

Improving Student Engagement Using Course-Based Social Networks  

ERIC Educational Resources Information Center

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

Imlawi, Jehad Mohammad

2013-01-01

323

Exploring social network effects on popularity biases in recommender systems  

E-print Network

- ty and different configurations of social behavior. Keywords Popularity, social networks, evaluationExploring social network effects on popularity biases in recommender systems Rocío Cañamares Informática {rocio.canamares,pablo.castells}@uam.es ABSTRACT Recommending items ranked by popularity has been

324

Air quality prediction using optimal neural networks with stochastic variables  

E-print Network

We apply recent methods in stochastic data analysis for discovering a set of few stochastic variables that represent the relevant information on a multivariate stochastic system, used as input for artificial neural networks models for air quality forecast. We show that using these derived variables as input variables for training the neural networks it is possible to significantly reduce the amount of input variables necessary for the neural network model, without considerably changing the predictive power of the model. The reduced set of variables including these derived variables is therefore proposed as optimal variable set for training neural networks models in forecasting geophysical and weather properties. Finally, we briefly discuss other possible applications of such optimized neural network models.

Russo, Ana; Lind, Pedro G

2013-01-01

325

Hierarchical Cooperative Caching in Mobile Opportunistic Social Networks  

E-print Network

of the nodes in the network. With the popularization of smart phones, mobile opportunistic social networks (MOSNs), a new type of DTN, becomes popular. In MOSNs, the individuals carrying smart phones walk aroundHierarchical Cooperative Caching in Mobile Opportunistic Social Networks Yunsheng Wang Dept

Wu, Jie

326

Modelling inter-contact times in social pervasive networks  

Microsoft Academic Search

Thanks to the diffusion of mobile user devices (e.g. smartphones) with rich computing and networking capabilities, we are witnessing an increasing integration between the cyber world of devices and the physical world of users. In this perspective, a possible evolution of pervasive networking (hereafter referred to as social pervasive networks, SPNs) consists in closely mapping human social structures in the

Andrea Passarella; Marco Conti; Chiara Boldrini; Robin I. M. Dunbar

2011-01-01

327

Real-time geo influence in social networks  

Microsoft Academic Search

F Exponential burst of real-time information generated through Social Media Networks in recent years, creates a hot ubiquitous platform for research among data scientists. Main area under spotlight in Social Networks Analysis (SNA) is friendship networks, user influence and computation of how deep and how fast the information diffuses. Amidst recent upsurge in Smartphone usage statistics, there is spectacular rise

Tushar Rao; Sushama Nagpal

2011-01-01

328

Stottelaar et al. Online Social Sports Networks as Crime  

E-print Network

Stottelaar et al. RESEARCH Online Social Sports Networks as Crime Facilitators Bas Stottelaar inadvertently disclose their home address more often indirectly via online sports tracking networks than.03%) were located via RunKeeper and 122 (23.78%) via other Internet (i.e. non-social sports network) sources

Al Hanbali, Ahmad

329

The ties that lead: A social network approach to leadership  

Microsoft Academic Search

This article investigates, for leadership research, the implications of new directions in social network theory that emphasize networks as both cognitive structures in the minds of organizational members and opportunity structures that facilitate and constrain action. We introduce the four core ideas at the heart of the network research program: the importance of relations, actors' embeddedness, the social utility of

Prasad Balkundi; Martin Kilduff

2006-01-01

330

Dynamic social networks promote cooperation in experiments with humans  

E-print Network

and leading to substantial changes in network structure. Our experiments confirm the pre- dictions of a set and highly organized. Human interactions are not random but rather are structured in social networks. Importantly, ties in these networks often are dynamic, changing in response to the behavior of one's social

Rand, David G.

331

Chic or Social: Visual Popularity Analysis in Online Fashion Networks  

E-print Network

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

Berg, Tamara L.

332

Social Networks and Careers of Young Adults with Intellectual Disabilities  

ERIC Educational Resources Information Center

Studies of the general population indicate that social networks influence a person's employment situation and career, especially in regard to how a person finds and gets a good job. Recent studies suggest that networks may function in similar ways for people with certain disabilities. In order to learn about the role that social networks played in…

Eisenman, Laura T.

2007-01-01

333

Strategies for the Diffusion of Innovations on Social Networks  

Microsoft Academic Search

We investigate the spread of innovations on a social network. The network consists of agents that are exposed to the introduction of a new product. Consumers decide whether or not to buy the product based on their own preferences and the decisions of their neighbors in the social network. We use and extend concepts from the literature on epidemics and

Floortje Alkemade; Carolina Castaldi

2005-01-01

334

On-light: optical social network  

NASA Astrophysics Data System (ADS)

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.

Dionísio, Rogério P.

2014-07-01

335

Communication Dynamics in Finite Capacity Social Networks  

NASA Astrophysics Data System (ADS)

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.

Haerter, Jan O.; Jamtveit, Bjørn; Mathiesen, Joachim

2012-10-01

336

Recruitment dynamics in adaptive social networks  

PubMed Central

We model recruitment in adaptive social networks in the presence of birth and death processes. Recruitment is characterized by nodes changing their status to that of the recruiting class as a result of contact with recruiting nodes. Only a susceptible subset of nodes can be recruited. The recruiting individuals may adapt their connections in order to improve recruitment capabilities, thus changing the network structure adaptively. We derive a mean field theory to predict the dependence of the growth threshold of the recruiting class on the adaptation parameter. Furthermore, we investigate the effect of adaptation on the recruitment level, as well as on network topology. The theoretical predictions are compared with direct simulations of the full system. We identify two parameter regimes with qualitatively different bifurcation diagrams depending on whether nodes become susceptible frequently (multiple times in their lifetime) or rarely (much less than once per lifetime). PMID:25395989

Shkarayev, Maxim S.; Schwartz, Ira B.; Shaw, Leah B.

2013-01-01

337

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

ERIC Educational Resources Information Center

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…

Lu, Jie; Churchill, Daniel

2014-01-01

338

Measuring media-based social interactions provided by smartphone applications in social networks  

Microsoft Academic Search

Increasing varieties of applications for smartphones allow users to post (upload) multimedia content and interact in social networks. Usually modeled as a graph, social networks are achieved for applying data mining techniques in the analysis of social relations among users. However, these analyses do not make explicit which actions are performed, which types of medias and users' applications for mobile

Alan Keller Gomes; Maria da Graça Campos Pimentel

2011-01-01

339

A theoretical model of intentional social action in online social networks  

Microsoft Academic Search

Online social networks (Facebook, MySpace, LinkedIn and the like) have become truly significant new phenomena in human communication and interaction patterns and may have a profound impact in the way people communicate and connect with each other. In this study, the decision to use an online social network is conceptualized as intentional social action and the relative impact of the

Christy M. K. Cheung; Matthew K. O. Lee

2010-01-01

340

New Generation of Social Networks Based on Semantic Web Technologies: the Importance of Social Data Portability  

Microsoft Academic Search

This article investigates several well-known social network applications such as Last.fm, Flickr and identifies social data portability as one of the main technical issues that need to be addressed in the future. We argue that this issue can be addressed by building social networks as Semantic Web applications with FOAF, SIOC, and Linked Data technologies, and prove it by implementing

Liana Razmerita; Rokas Firantas

2009-01-01

341

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

ERIC Educational Resources Information Center

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,…

Pham, Andy V.

2014-01-01

342

A generational comparison of social networking site use: the influence of age and social identity.  

PubMed

An online survey (N=256) compared social networking site (SNS) use among younger (millennial: 18-29) and older (baby-boomer: 41-64) subscribers focusing on the influence of collective self-esteem and group identity on motives for SNS use. Younger participants reported higher positive collective self-esteem, social networking site use for peer communication, and social compensation. Regardless of age, participants reporting high collective self-esteem and group identity were more likely to use social networking sites for peer communication and social identity gratifications, while those reporting negative collective self-esteem were more likely to use social networking sites for social compensation. The theoretical implications of the strong relationship between social identity gratifications and social compensation are discussed. PMID:22808625

Barker, Valerie

2012-01-01

343

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

ERIC Educational Resources Information Center

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

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

2012-01-01

344

Understanding how social networking influences perceived satisfaction with conference experiences  

USGS Publications Warehouse

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.

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

2013-01-01

345

Segregation in Social Networks based on Acquaintanceship and Trust  

E-print Network

. Little is known about how religion, political ideology, or social class structure the broaderSegregation in Social Networks based on Acquaintanceship and Trust Thomas A. DiPrete Andrew Gelman, at the seminar series of the Economic and Social Dynamics Research Group at Yahoo, at the Inequality and Social

Gelman, Andrew

346

Network Analysis and Visualization for Understanding Social Computing  

E-print Network

, tables, graphics · Instructions, messages, help · Collaboration & Social Media · Help, tutorialsNetwork Analysis and Visualization for Understanding Social Computing Ben Shneiderman ben, training · Search www.awl.com/DTUI Fifth Edition: March 2009 · Visualization #12;Using Vision to Think

Shneiderman, Ben

347

Infectious Disease Modeling of Social Contagion in Networks  

E-print Network

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, ...

Hill, Alison Lynn

348

Tie strength in question answer on social network sites  

E-print Network

Asking friends, colleagues, or other trusted people to help answer a question or find information is a familiar and tried-and-true concept. Widespread use of online social networks has made social information seeking easier, ...

Panovich, Katrina Marie

349

Open-source social Network Assessment Survey System (NASS)  

E-print Network

The selection of targeted survey questions and the design of survey questionnaires are instrumental in the social networks research. With the accelerating growth of theory and experimental knowledge in the area of social ...

Du, Aaron (Aaron Yinan)

2005-01-01

350

Honeycomb: Visual Analysis of Large Scale Social Networks  

NASA Astrophysics Data System (ADS)

The rise in the use of social network sites allows us to collect large amounts of user reported data on social structures and analysis of this data could provide useful insights for many of the social sciences. This analysis is typically the domain of Social Network Analysis, and visualization of these structures often proves invaluable in understanding them. However, currently available visual analysis tools are not very well suited to handle the massive scale of this network data, and often resolve to displaying small ego networks or heavily abstracted networks. In this paper, we present Honeycomb, a visualization tool that is able to deal with much larger scale data (with millions of connections), which we illustrate by using a large scale corporate social networking site as an example. Additionally, we introduce a new probability based network metric to guide users to potentially interesting or anomalous patterns and discuss lessons learned during design and implementation.

van Ham, Frank; Schulz, Hans-Jörg; Dimicco, Joan M.

351

Analysis of a Real Online Social Network Using Semantic Web Frameworks  

Microsoft Academic Search

Social Network Analysis (SNA) provides graph algorithms to charac- terize the structure of social networks, strategic positions in these networks, spe- cific sub-networks and decompositions of people and activities. Online social platforms like Facebook form huge social networks, enabling people to connect, interact and share their online activities across several social applications. We extended SNA operators using semantic web frameworks

Guillaume Erétéo; Michel Buffa; Fabien Gandon; Olivier Corby

2009-01-01

352

Antecedents and Consequences of Online Social Networking Behavior: The Case of Facebook  

Microsoft Academic Search

Despite the recent popularity of online social networks, there are few available studies that explain the differences between real life and internet social networks. Authoritative information about the outcomes of using social networking websites is even more sparse. In an attempt to close this literature gap, this exploratory study found that online social networks and real life social networks are

Adam Acar

2008-01-01

353

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

ERIC Educational Resources Information Center

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…

Gou, Liang

2012-01-01

354

Legal and Ethical Implications of Corporate Social Networks  

Microsoft Academic Search

Corporate social networking sites provide employees and employers with considerable opportunity to share information and become\\u000a friends. Unfortunately, American and international laws do not directly address social networking site usage. The National\\u000a Labor Relations Act, civil rights laws, and various common law doctrines such as employment at-will and defamation provide\\u000a the pattern for future social networking laws. Ethical considerations such

Gundars Kaupins; Susan Park

2011-01-01

355

Augmenting Collaboration beyond Classrooms through Online Social Networks  

Microsoft Academic Search

The exploration of social networks is essential to find capable collaborators who can help problem-solving and to augment cooperation between users. This paper describes an agent based social networking system called PeCo-Mediator-II for seeking for a collaborator with the chain of personal connections (PeCo) in distributed organizations. This system helps gathering, exploring, and visualizing social networks. This paper proposes a

Hiroaki Ogata; Takashi Sueda; Nobuko Furugori; Yoneo Yano

1999-01-01

356

Positive Influence Dominating Set in Online Social Networks  

Microsoft Academic Search

Online social network has developed significantly in recent years as a medium of communicating, sharing and disseminating\\u000a information and spreading influence. Most of current research has been on understanding the property of online social network\\u000a and utilizing it to spread information and ideas. In this paper, we explored the problem of how to utilize online social networks\\u000a to help alleviate

Feng Wang; Erika Camacho; Kuai Xu

2009-01-01

357

Social network theory in the behavioural sciences: potential applications  

Microsoft Academic Search

Social network theory has made major contributions to our understanding of human social organisation but has found relatively\\u000a little application in the field of animal behaviour. In this review, we identify several broad research areas where the networks\\u000a approach could greatly enhance our understanding of social patterns and processes in animals. The network theory provides\\u000a a quantitative framework that can

J. Krause; D. P. Croft; R. James

2007-01-01

358

Trust and compactness in social network groups.  

PubMed

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

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

2015-02-01

359

Social diffusion and global drift on networks  

NASA Astrophysics Data System (ADS)

We study a mathematical model of social diffusion on a symmetric weighted network where individual nodes' states gradually assimilate to local social norms made by their neighbors' average states. Unlike physical diffusion, this process is not state conservational and thus the global state of the network (i.e., sum of node states) will drift. The asymptotic average node state will be the average of initial node states weighted by their strengths. Here we show that, while the global state is not conserved in this process, the inner product of strength and state vectors is conserved instead, and perfect positive correlation between node states and local averages of their self-neighbor strength ratios always results in upward (or at least neutral) global drift. We also show that the strength assortativity negatively affects the speed of homogenization. Based on these findings, we propose an adaptive link weight adjustment method to achieve the highest upward global drift by increasing the strength-state correlation. The effectiveness of the method was confirmed through numerical simulations and implications for real-world social applications are discussed.

Sayama, Hiroki; Sinatra, Roberta

2015-03-01

360

Graphical Evolutionary Game for Information Diffusion Over Social Networks  

NASA Astrophysics Data System (ADS)

Current social networks are of extremely large-scale generating tremendous information flows at every moment. How information diffuse over social networks has attracted much attention from both industry and academics. Most of the existing works on information diffusion analysis are based on machine learning methods focusing on social network structure analysis and empirical data mining. However, the dynamics of information diffusion, which are heavily influenced by network users' decisions, actions and their socio-economic interactions, is generally ignored by most of existing works. In this paper, we propose an evolutionary game theoretic framework to model the dynamic information diffusion process in social networks. Specifically, we derive the information diffusion dynamics in complete networks, uniform degree and non-uniform degree networks, with the highlight of two special networks, Erd\\H{o}s-R\\'enyi random network and the Barab\\'asi-Albert scale-free network. We find that the dynamics of information diffusion over these three kinds of networks are scale-free and the same with each other when the network scale is sufficiently large. To verify our theoretical analysis, we perform simulations for the information diffusion over synthetic networks and real-world Facebook networks. Moreover, we also conduct experiment on Twitter hashtags dataset, which shows that the proposed game theoretic model can well fit and predict the information diffusion over real social networks.

Jiang, Chunxiao; Chen, Yan; Liu, K. J. Ray

2014-08-01

361

Violating social norms when choosing friends: how rule-breakers affect social networks.  

PubMed

Social networks rely on basic rules of conduct to yield functioning societies in both human and animal populations. As individuals follow established rules, their behavioral decisions shape the social network and give it structure. Using dynamic, self-organizing social network models we demonstrate that defying conventions in a social system can affect multiple levels of social and organizational success independently. Such actions primarily affect actors' own positions within the network, but individuals can also affect the overall structure of a network even without immediately affecting themselves or others. These results indicate that defying the established social norms can help individuals to change the properties of a social system via seemingly neutral behaviors, highlighting the power of rule-breaking behavior to transform convention-based societies, even before direct impacts on individuals can be measured. PMID:22039524

Hock, Karlo; Fefferman, Nina H

2011-01-01

362

Violating Social Norms when Choosing Friends: How Rule-Breakers Affect Social Networks  

PubMed Central

Social networks rely on basic rules of conduct to yield functioning societies in both human and animal populations. As individuals follow established rules, their behavioral decisions shape the social network and give it structure. Using dynamic, self-organizing social network models we demonstrate that defying conventions in a social system can affect multiple levels of social and organizational success independently. Such actions primarily affect actors' own positions within the network, but individuals can also affect the overall structure of a network even without immediately affecting themselves or others. These results indicate that defying the established social norms can help individuals to change the properties of a social system via seemingly neutral behaviors, highlighting the power of rule-breaking behavior to transform convention-based societies, even before direct impacts on individuals can be measured. PMID:22039524

Hock, Karlo; Fefferman, Nina H.

2011-01-01

363

Novel Visualizations and Interactions for Social Networks Exploration  

NASA Astrophysics Data System (ADS)

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.

Riche, Nathalie Henry; Fekete, Jean-Daniel

364

Social capital, self-esteem, and use of online social network sites: A longitudinal analysis  

E-print Network

benefits, commonly referred to as social capital, and for psychosocial development. Social capitalSocial capital, self-esteem, and use of online social network sites: A longitudinal analysis, and Media, Michigan State University, East Lansing, MI 48824 USA a r t i c l e i n f o a b s t r a c

Steinfield, Charles

365

Social Networking—Another Breach In The Wall  

NASA Astrophysics Data System (ADS)

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.

Bamnote, Gajendra; Patil, Gajendra; Shejole, Amol

2010-11-01

366

Household Savings and Productive Capital Formation in Rural Vietnam: Insurance vs. Social Network  

E-print Network

In this paper, we investigate the role of the social network nexus and the insurance nexus in determining household savings and productive capital formation in rural Vietnam. We analyze the issue in two dimensions, stocks and flows, and consider the exposure to negative shocks. The instrumental variable method is employed and unlike previous studies, we account for the endogeneity of all concerned variables. The results indicate that the social network nexus has more impacts in “ex ante ” rather than in “ex post ” households. In both households groups, the effects of the insurance nexus dominate over those of the social network nexus. In the case of the stocks, we also find that the precautionary view holds in liquid assets but not in productive assets.

Thomas Gries; Ha Van Dung

367

Optimizing Online Social Networks for Information Propagation  

PubMed Central

Online users nowadays are facing serious information overload problem. In recent years, recommender systems have been widely studied to help people find relevant information. Adaptive social recommendation is one of these systems in which the connections in the online social networks are optimized for the information propagation so that users can receive interesting news or stories from their leaders. Validation of such adaptive social recommendation methods in the literature assumes uniform distribution of users' activity frequency. In this paper, our empirical analysis shows that the distribution of online users' activity is actually heterogenous. Accordingly, we propose a more realistic multi-agent model in which users' activity frequency are drawn from a power-law distribution. We find that previous social recommendation methods lead to serious delay of information propagation since many users are connected to inactive leaders. To solve this problem, we design a new similarity measure which takes into account users' activity frequencies. With this similarity measure, the average delay is significantly shortened and the recommendation accuracy is largely improved. PMID:24816894

Chen, Duan-Bing; Wang, Guan-Nan; Zeng, An; Fu, Yan; Zhang, Yi-Cheng

2014-01-01

368

MobiSNA: a mobile video social network application  

Microsoft Academic Search

This paper presents MobiSNA - a mobile video social networking application that supports the exploration, sharing, and creation of video contents through social networks. The MobiSNA project provides the user with an easy to use experience of accessing video content from mobile devices (e.g., mobile phones, PDAs) over wireless broadband networks (e.g., 4G networks). This demo focuses on the key

Liang Gou; Jung-hyun Kim; Hung-hsuan Chen; Jason Collins; Marc Goodman; C. Lee Giles

2009-01-01

369

Social Networking Adapted for Distributed Scientific Collaboration  

NASA Technical Reports Server (NTRS)

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.

Karimabadi, Homa

2012-01-01

370

Social network site addiction - an overview.  

PubMed

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

Andreassen, Cecilie Schou; Pallesen, Ståle

2014-01-01

371

Analyzing patterns of user content generation in online social networks  

Microsoft Academic Search

Various online social networks (OSNs) have been developed rapidly on the Internet. Researchers have analyzed different properties of such OSNs, mainly focusing on the formation and evolution of the networks as well as the information propagation over the networks. In knowledge-sharing OSNs, such as blogs and question answering systems, issues on how users participate in the network and how users

Lei Guo; Enhua Tan; Songqing Chen; Xiaodong Zhang

2009-01-01

372

Mobile Context Provider for Social Networking  

NASA Astrophysics Data System (ADS)

The ability to infer user context based on a mobile device together with a set of external sensors opens up the way to new context-aware services and applications. In this paper, we describe a mobile context provider that makes use of sensors available in a smartphone as well as sensors externally connected via bluetooth. We describe the system architecture from sensor data acquisition to feature extraction, context inference and the publication of context information to well-known social networking services such as Twitter and Hi5. In the current prototype, context inference is based on decision trees, but the middleware allows the integration of other inference engines. Experimental results suggest that the proposed solution is a promising approach to provide user context to both local and network-level services.

Santos, André C.; Cardoso, João M. P.; Ferreira, Diogo R.; Diniz, Pedro C.

373

How can social network analysis contribute to social behavior research in applied ethology?  

PubMed Central

Social network analysis is increasingly used by behavioral ecologists and primatologists to describe the patterns and quality of interactions among individuals. We provide an overview of this methodology, with examples illustrating how it can be used to study social behavior in applied contexts. Like most kinds of social interaction analyses, social network analysis provides information about direct relationships (e.g. dominant–subordinate relationships). However, it also generates a more global model of social organization that determines how individual patterns of social interaction relate to individual and group characteristics. A particular strength of this approach is that it provides standardized mathematical methods for calculating metrics of sociality across levels of social organization, from the population and group levels to the individual level. At the group level these metrics can be used to track changes in social network structures over time, evaluate the effect of the environment on social network structure, or compare social structures across groups, populations or species. At the individual level, the metrics allow quantification of the heterogeneity of social experience within groups and identification of individuals who may play especially important roles in maintaining social stability or information flow throughout the network. PMID:24357888

Makagon, Maja M.; McCowan, Brenda; Mench, Joy A.

2013-01-01

374

Social network models predict movement and connectivity in ecological landscapes  

USGS Publications Warehouse

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.

Fletcher, R.J., Jr.; Acevedo, M.A.; Reichert, B.E.; Pias, K.E.; Kitchens, W.M.

2011-01-01

375

Social network models predict movement and connectivity in ecological landscapes  

PubMed Central

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

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

2011-01-01

376

Analyzing the Dynamics of Communication in Online Social Networks  

Microsoft Academic Search

\\u000a This chapter deals with the analysis of interpersonal communication dynamics in online social networks and social media. Communication\\u000a is central to the evolution of social systems. Today, the different online social sites feature variegated interactional affordances,\\u000a ranging from blogging, micro-blogging, sharing media elements (i.e., image, video) as well as a rich set of social actions\\u000a such as tagging, voting, commenting

Munmun De Choudhury; Hari Sundaram; Ajita John; Doree Duncan Seligmann

2010-01-01

377

Prosocial norms and degree heterogeneity in social networks  

NASA Astrophysics Data System (ADS)

We provide empirical evidence to support the claims that social diversity promotes prosocial behavior. We elicit a real-life social network and its members' adherence to a social norm, namely inequity aversion. The data reveal a positive relationship between subjects' prosociality and several measures of centrality. This result is in line with the theoretical literature that relates the evolution of social norms to the structure of social interactions and argues that central individuals are crucial for the emergence of prosocial behavior.

Ková?ík, Jaromír; Brañas-Garza, Pablo; Cobo-Reyes, Ramón; Espinosa, María Paz; Jiménez, Natalia; Ponti, Giovanni

2012-02-01

378

Internet Use and Social Networking among Middle Aged and Older Adults  

ERIC Educational Resources Information Center

In this study, the associations between Internet use and the social networks of adults over 50 years of age were examined. A sample (n = 2284) from the 2004 wave of the "Health and Retirement Survey" was used. In regression models considering a number of control variables, frequency of contact with friends, frequency of contact with family, and…

Hogeboom, David L.; McDermott, Robert J.; Perrin, Karen M.; Osman, Hana; Bell-Ellison, Bethany A.

2010-01-01

379

Differences in Beliefs about Psychological Services in the Relationship between Sociorace and One's Social Network  

ERIC Educational Resources Information Center

The roles of previous psychological service use and social network variables in beliefs about psychological services were examined with 184 college students. Having friends and family members who used psychological services, being female, and having used psychological services positively related with beliefs about psychological services.…

Walter, Jeffrey P.; Yon, Kyu Jin; Skovholt, Thomas M.

2012-01-01

380

Local Nash Equilibrium in Social Networks  

NASA Astrophysics Data System (ADS)

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.

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

2014-08-01

381

Local Nash Equilibrium in Social Networks  

PubMed Central

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

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

2014-01-01

382

Local Nash equilibrium in social networks.  

PubMed

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

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

2014-01-01

383

Negotiation of Face between Bereaved Parents and Their Social Networks  

Microsoft Academic Search

For many bereaved parents, talking about their child's death and their grief experiences is a way to cope with grief. Unfortunately, communicating with others often proves difficult for parents and their social networks, often because of face threats. The purpose of the present study is to identify how the face needs of parents and their social network is communicatively negotiated.

M. Chad McBride; Paige Toller

2011-01-01

384

A New Addiction for Teacher Candidates: Social Networks  

ERIC Educational Resources Information Center

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…

Cam, Emre; Isbulan, Onur

2012-01-01

385

A social network analysis of the information fusion community  

Microsoft Academic Search

Social network analysis is an important research area for supporting intelligence analysts since it can be used to identify important actors and subgroups in e.g. criminal networks. In this paper, we apply methods from social net- work analysis on bibliographic data about the research area of information fusion, in order to demonstrate how this kind of algorithms can be applied

Fredrik Johansson; Christian Martenson; Pontus Svenson

2011-01-01

386

Discovering cohesive subgroups from social networks for targeted advertising  

Microsoft Academic Search

In this paper, we propose a framework that utilizes the concept of a social network for the targeted advertising of products. This approach discovers the cohesive subgroups from a customer’s social network as derived from the customer’s interaction data, and uses them to infer the probability of a customer preferring a product category from transaction records. This information is then

Wan-shiou Yang; Jia-ben Dia

2008-01-01

387

The Perceived Benefits of 6-Degree-Separation Social Networks  

Microsoft Academic Search

Purpose – This research seeks to focus on the benefits of social networking service (SNS) based on the principle of six degrees of separation. Since the inception of web 2.0, the popularity of social networks (SNS) has continued to increase. Some SNS are based on six degrees of separation (6SNS), and these have emerged as the most frequently visited WWW

Wesley Shu; Yu-Hao Chuang

2011-01-01

388

Privacy Leakage in Mobile Online Social Networks Balachander Krishnamurthy  

E-print Network

growth in "apps" (applications) for mobile devices and many are available for customized interactionPrivacy Leakage in Mobile Online Social Networks Balachander Krishnamurthy AT&T Labs ­ Research USA cew@cs.wpi.edu Abstract Mobile Online Social Networks (mOSNs) have recently grown in popularity

Camesano, Terri

389

The Buzz on Campus: Social Networking Takes Hold  

ERIC Educational Resources Information Center

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…

Violino, Bob

2009-01-01

390

Scholars and Faculty Members' Lived Experiences in Online Social Networks  

ERIC Educational Resources Information Center

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…

Veletsianos, George; Kimmons, Royce

2013-01-01

391

Teachers Beware! The Dark Side of Social Networking  

ERIC Educational Resources Information Center

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…

Belch, Harry Ess

2012-01-01

392

Potential of Social Networking Sites for Distance Education Student Engagement  

ERIC Educational Resources Information Center

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…

Lester, Jaime; Perini, Michael

2010-01-01

393

Are Social Networking Websites Educational? Information Capsule. Volume 0909  

ERIC Educational Resources Information Center

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…

Blazer, Christie

2009-01-01

394

Context-Aware Security model for Social Network Service  

Microsoft Academic Search

The number of smart phone-users is rapidly growing due to the recent increase in wireless Internet usage, the development of a variety of applications, the activation of social networks, and so on. The smart phone has the benefits of mobility and convenience, but has the serious security problems. To utilize social network services in the smart phone, a flexible integrated

Hyundong Lee; Mokdong Chung

2011-01-01

395

IT Services, University of Aberdeen Policy on Social Networking Services  

E-print Network

recognises that these technologies can be used positively and effectively in a number of areas. In order networking service is essentially in the public domain. Once social media content has been createdIT Services, University of Aberdeen Policy on Social Networking Services 1. Introduction The global

Levi, Ran

396

Collective Privacy Management in Social Networks Anna C. Squicciarini  

E-print Network

of Computing and Information Systems]: System Management General Terms Security Keywords social networks, privacy, collaboration, game theory. 1. INTRODUCTION Social networks (SNs, for short), includingIn have developed on the Internet over the past several years. SNs have been successful in attracting

Shehab, Mohamed

397

An ontology-based repository for a spontaneous social network  

Microsoft Academic Search

With the latest technological advancements and the popularization of mobile devices nowadays, software development has evolved towards mobility. One of the main uses of mobile devices is to access social networks. They are becoming important tools in people's life. In this context, the Mingle project has the objective of creating a spontaneous social networks that is mainly accessed by mobile

Bryan Garber da Silva; Cristiano Andre da Costa; Dante Zaupa; Gustavo Freitas

2011-01-01

398

Mobile Human Network Management and Recommendation by Probabilistic Social Mining  

Microsoft Academic Search

Recently, inferring or sharing of mobile contexts has been actively investigated as cell phones have become more than a communication device. However, most of them focused on utilizing the contexts on social network services, while the means in mining or managing the human network itself were barely considered. In this paper, the SmartPhonebook, which mines users' social connections to manage

Jun-Ki Min; Sung-Bae Cho

2011-01-01

399

Unveiling Facebook: A Measurement Study of Social Network Based Applications  

E-print Network

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

Chuah, Chen-Nee

400

Organizational Social Network Research: Core Ideas and Key Debates  

Microsoft Academic Search

Given the growing popularity of the social network perspective across diverse organizational subject areas, this review examines the coherence of the research tradition (in terms of leading ideas from which the diversity of new research derives) and appraises current directions and controversies. The leading ideas at the heart of the organizational social network research program include: an emphasis on relations

Martin Kilduff; Daniel J. Brass

2010-01-01

401

Identity Practices of Multilingual Writers in Social Networking Spaces  

ERIC Educational Resources Information Center

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.…

Chen, Hsin-I

2013-01-01

402

Medical professionalism in the age of online social networking  

Microsoft Academic Search

The rapid emergence and exploding usage of online social networking forums, which are frequented by millions, present clinicians with new ethical and professional challenges. Particularly among a younger generation of physicians and patients, the use of online social networking forums has become widespread. In this article, we discuss ethical challenges facing the patient–doctor relationship as a result of the growing

J S Guseh; R W Brendel; D H Brendel

2009-01-01

403

A New Mathematical Space for Social Networks Anshumali Shrivastava  

E-print Network

of information about an individual is gained by analyzing the data derived from his/her social network. PersonalA New Mathematical Space for Social Networks Anshumali Shrivastava Department of Computer Science Computing and Information Science Cornell University Ithaca, NY 14853, USA anshu@cs.cornell.edu Ping Li

Pratt, Vaughan

404

Mining Social Networks for Viral Marketing Pedro Domingos  

E-print Network

Mining Social Networks for Viral Marketing Pedro Domingos Department of Computer Science-sharing sites, collaborative filtering systems, online gaming, social networking sites, newsgroups, chat rooms filtering system, and others [1, 6]. These models allow us to design "viral marketing" plans that maximize

Anderson, Richard

405

2013 Proceedings IEEE INFOCOM Video Requests from Online Social Networks  

E-print Network

2013 Proceedings IEEE INFOCOM Video Requests from Online Social Networks: Characterization, Analysis and Generation Haitao Li, Haiyang Wang, Jiangchuan Liu School of Computing Science Simon Fraser Social Networks (OSNs) have made them major portals for video content sharing. It is known

Liu, Jiangchuan (JC)

406

Social Networks of Homeless Youth in Emerging Adulthood  

ERIC Educational Resources Information Center

Little is known about the social networks of homeless youth in emerging adulthood despite the importance of this information for interventions to reduce health risks. This study examined the composition of social networks, and the risks and supports present within them, in a random sample of 349 homeless youth (33.4% female, 23.9% African…

Wenzel, Suzanne; Holloway, Ian; Golinelli, Daniela; Ewing, Brett; Bowman, Richard; Tucker, Joan

2012-01-01

407

Time Critical Social Mobilization: The DARPA Network Challenge Winning Strategy  

E-print Network

. For ex- ample, in the aftermath of Hurricane Katrina, amateur radio volunteers helped relay 911 trafficTime Critical Social Mobilization: The DARPA Network Challenge Winning Strategy Galen Pickard,1 and social network- ing play in the timely communication, wide-area team-building, and urgent mobilization

408

Diffusion of innovations through social networks of children  

Microsoft Academic Search

Purpose – The paper aims to examine the role of social networks of children on the diffusion of an innovation. Design\\/methodology\\/approach – The impact of social networks on the adoptive behavior of children is measured in the study and then compared to more traditional marketing strategies. Therefore an experiment was conducted on three primary public schools in The Netherlands, with

Laurien Kunst; Jan Kratzer

2007-01-01

409

Positive Influence Dominating Set in Online Social Networks  

E-print Network

Positive Influence Dominating Set in Online Social Networks Feng Wang, Erika Camacho, and Kuai Xu infor- mation and spreading influence. Most of current research has been on understanding the property research has been done to understand the properties of online social networks [1][2][3] and how

Zhang, Junshan

410

Predicting product adoption in large-scale social networks  

Microsoft Academic Search

Online social networks offer opportunities to analyze user behavior and social connectivity and leverage resulting insights for effective online advertising. We study the adoption of a paid product by members of a large and well-connected Instant Messenger (IM) network. This product is important to the business and poses unique challenges to advertising due to its low baseline adoption rate. We

Rushi Bhatt; Vineet Chaoji; Rajesh Parekh

2010-01-01

411

The Social Networking Arena: Battle of the Sexes  

ERIC Educational Resources Information Center

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…

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

2012-01-01

412

The Boardscape: Creating a Super Social Network of Message Boards  

Microsoft Academic Search

A Web-based message board or forum is an online area where discussions are held by many Internet users on a variety of subjects. More recently, online social networks have been created for various purposes: job searching, dating, band promotion, etc. Many social networking sites have also incorporated community discussion features such as message boards. Rather than add a message board

John G. Breslin; Ron Kass

2007-01-01

413

An Organizational Framework of Personal Health Records for Social Networks  

ERIC Educational Resources Information Center

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…

Hasan, Syed Omair

2009-01-01

414

Bayesian-inference based recommendation in online social networks  

Microsoft Academic Search

In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their movie ratings with friends. The rating similarity between a pair of friends is measured by a set of conditional probabilities derived from their mutual rating history. A user propagates a movie rating query along the social network to his direct

Xiwang Yang; Yang Guo; Yong Liu

2011-01-01

415

Raccoon Social Networks and the Potential for Disease Transmission  

PubMed Central

Raccoons are an important vector of rabies and other pathogens. The degree to which these pathogens can spread through a raccoon population should be closely linked to association rates between individual raccoons. Most studies of raccoon sociality have found patterns consistent with low levels of social connectivity within populations, thus the likelihood of direct pathogen transmission between raccoons is theoretically low. We used proximity detecting collars and social network metrics to calculate the degree of social connectivity in an urban raccoon population for purposes of estimating potential pathogen spread. In contrast to previous assumptions, raccoon social association networks were highly connected, and all individuals were connected to one large social network during 15 out of 18 months of study. However, these metrics may overestimate the potential for a pathogen to spread through a population, as many of the social connections were based on relatively short contact periods. To more closely reflect varying probabilities of pathogen spread, we censored the raccoon social networks based on the total amount of time spent in close proximity between two individuals per month. As this time criteria for censoring the social networks increased from one to thirty minutes, corresponding measures of network connectivity declined. These findings demonstrate that raccoon populations are much more tightly connected than would have been predicted based on previous studies, but also point out that additional research is needed to calculate more precise transmission probabilities by infected individuals, and determine how disease infection changes normal social behaviors. PMID:24130746

Hirsch, Ben T.; Prange, Suzanne; Hauver, Stephanie A.; Gehrt, Stanley D.

2013-01-01

416

Social networking in online support groups for health: how online social networking benefits patients.  

PubMed

An increasing number of online support groups (OSGs) have embraced the features of social networking. So far, little is known about how patients use and benefit from these features. By implementing the uses-and-gratifications framework, the author conducted an online survey with current users of OSGs to examine associations among motivation, use of specific features of OSG, and support outcomes. Findings suggest that OSG users make selective use of varied features depending on their needs, and that perceptions of receiving emotional and informational support are associated more with the use of some features than others. For example, those with strong motivation for social interaction use diverse features of OSG and make one-to-one connections with other users by friending. In contrast, those with strong motivation for information seeking limit their use primarily to discussion boards. Results also show that online social networking features, such as friending and sharing of personal stories on blogs, are helpful in satisfying the need for emotional support. The present study sheds light on online social networking features in the context of health-related OSGs and provides practical lessons on how to improve the capacity of OSGs to serve the needs of their users. PMID:23557148

Chung, Jae Eun

2014-01-01

417

Emergence, evolution and scaling of online social networks.  

PubMed

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

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

2014-01-01

418

Emergence, Evolution and Scaling of Online Social Networks  

PubMed Central

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

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

2014-01-01

419

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

E-print Network

, not only consensus but such diverse sociocultural phenomena as social class formation, school attachment1 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

White, Douglas R.

420

Latino social network dynamics and the Hurricane Katrina disaster.  

PubMed

The aim of this qualitative research was to examine the dynamics of existing and emerging social networks among Latino survivors of Hurricane Katrina. Data were generated through individual, in-depth interviews conducted with 65 Latinos within six months of the storm striking the Gulf Coast of the United States in August 2005. The findings illustrated both the role of social networks in gathering information, making decisions and accessing resources, and how these existing social networks were disrupted and strained by overwhelming needs. Broader structural issues, including poverty and a lack of transportation, combined with marginalised status as immigrants, further constrained access to essential information and resources. In response, new, if temporary, social networks emerged, based primarily on shared nationality, language, and a sense of collective commitment. Practice implications include the need to consider the social network dynamics of marginalised groups in developing innovative strategies to overcome structural barriers to accessing resources essential for disaster preparedness and survival. PMID:21623889

Hilfinger Messias, DeAnne K; Barrington, Clare; Lacy, Elaine

2012-01-01

421

Social Network Extraction and Analysis Based on Multimodal Dyadic Interaction  

PubMed Central

Social interactions are a very important component in people’s lives. Social network analysis has become a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore the characteristics of a social network extracted from multimodal dyadic interactions. For our study, we used a set of videos belonging to New York Times’ Blogging Heads opinion blog. The Social Network is represented as an oriented graph, whose directed links are determined by the Influence Model. The links’ weights are a measure of the “influence” a person has over the other. The states of the Influence Model encode automatically extracted audio/visual features from our videos using state-of-the art algorithms. Our results are reported in terms of accuracy of audio/visual data fusion for speaker segmentation and centrality measures used to characterize the extracted social network. PMID:22438733

Escalera, Sergio; Baró, Xavier; Vitrià, Jordi; Radeva, Petia; Raducanu, Bogdan

2012-01-01

422

Pioneers of Influence Propagation in Social Networks  

E-print Network

With the growing importance of corporate viral marketing campaigns on online social networks, the interest in studies of influence propagation through networks is higher than ever. In a viral marketing campaign, a firm initially targets a small set of pioneers and hopes that they would influence a sizeable fraction of the population by diffusion of influence through the network. In general, any marketing campaign might fail to go viral in the first try. As such, it would be useful to have some guide to evaluate the effectiveness of the campaign and judge whether it is worthy of further resources, and in case the campaign has potential, how to hit upon a good pioneer who can make the campaign go viral. In this paper, we present a diffusion model developed by enriching the generalized random graph (a.k.a. configuration model) to provide insight into these questions. We offer the intuition behind the results on this model, rigorously proved in Blaszczyszyn & Gaurav(2013), and illustrate them here by taking e...

Gaurav, Kumar; Keeler, Holger Paul

2013-01-01

423

Security in OpenSocial-instrumented Social Networking Services  

E-print Network

to the integrity and authenticity of requests. The paper wants to raise awareness for security issues in an Open and integrating OpenSocial applications into a platform's access control system. 2 OpenSocial-instrumented Social be accessed from the OpenSocial Website.4 Prominent examples include iGoogle, LinkedIn, mixi, MySpace, orkut

Boyer, Edmond

424

"Kracking" the Missing Data Problem: Applying Krackhardt's Cognitive Social Structures to School-Based Social Networks  

ERIC Educational Resources Information Center

Social network analysis can enrich school-based research on children's peer relationships. Unfortunately, accurate network analysis requires near-complete data on all students and is underutilized in school-based research because of low rates of parental consent. This article advocates Krackhardt's cognitive social structures (CSS) as a solution…

Neal, Jennifer Watling

2008-01-01

425

LingoBee and Social Media: Mobile Language Learners as Social Networkers  

ERIC Educational Resources Information Center

This paper presents language learners as social networkers and describes and discusses the types of users that can be identified by analysing the content created by them using a situated mobile language learning app, LingoBee, based on the idea of crowd sourcing. Borrowing ideas from other studies conducted on social network users, we can identify…

Procter-Legg, Emma; Cacchione, Annamaria; Petersen, Sobah Abbas

2012-01-01

426

A Generational Comparison of Social Networking Site Use: The Influence of Age and Social Identity  

ERIC Educational Resources Information Center

An online survey (N = 256) compared social networking site (SNS) use among younger (millennial: 18-29) and older (baby-boomer: 41-64) subscribers focusing on the influence of collective self-esteem and group identity on motives for SNS use. Younger participants reported higher positive collective self-esteem, social networking site use for peer…

Barker, Valerie

2012-01-01

427

Secure SocialAware: A Security Framework for Mobile Social Networking Applications  

Microsoft Academic Search

Social network information is now being used in ways for which it may have not been originally intended. In partic- ular, increased use of smartphones capable of running ap- plications which access social network information enable applications to be aware of a user's position and preferences. However, current models forexchangeof thisinformationre- quire users to compromise their privacy. We present a

Aaron Beach; Mike Gartrell; Baishakhi Ray; Richard Han

428

Increasing Social Capital for Disaster Response through Social Networking Services (SNS) in Japanese Local Governments  

Microsoft Academic Search

Researchers have argued that social networks within a community have positive effects on people's behavior in the four stages of disaster. The Japanese government is testing Social Networking Service (SNS) at the municipal level with the intention to improve community building, democratic processes and disaster management. This paper presents results from two case studies of local SNS in Yatsushiro city,

Alexander R. M. Schellong; J. W. Goethe

429

Fluid Centrality: A Social Network Analysis of Social-Technical Relations in Computer-Mediated Communication  

ERIC Educational Resources Information Center

In this article, centrality is explored as a measure of computer-mediated communication (CMC) in networked learning. Centrality measure is quite common in performing social network analysis (SNA) and in analysing social cohesion, strength of ties and influence in CMC, and computer-supported collaborative learning research. It argues that measuring…

Enriquez, Judith Guevarra

2010-01-01

430

Heart Rate Variability during Social Interactions in Children with and without Psychopathology: A Meta-Analysis  

ERIC Educational Resources Information Center

Background: The inability to regulate autonomic activity during social interactions is believed to contribute to social and emotional dysregulation in children. Research has employed heart rate variability (HRV) during both socially engaging and socially disengaging dyadic tasks between children and adults to assess this. Methods: We conducted a…

Shahrestani, Sara; Stewart, Elizabeth M.; Quintana, Daniel S.; Hickie, Ian B.; Guastella, Adam J.

2014-01-01

431

Evaluation of Automated Friend Grouping in Online Social Networks  

E-print Network

recommendation-based techniques can be helpful in social media systems such as email to choose with whom to share the benefits and drawbacks of using such automated friend grouping approach within a social media interfaceEvaluation of Automated Friend Grouping in Online Social Networks Abstract Managing friendship

Karahalios, Karrie G.

432

Odyssey of the Mind: Social Networking in Cyberschool  

ERIC Educational Resources Information Center

K-12 online learning and cyber charter schools have grown at a tremendous rate over the past decade. At the same time, these online programs have struggled to provide the social spaces where students can interact that K-12 schools are traditionally able to provide. Social networking presents a unique opportunity to provide these kinds of social

Barbour, Michael K.; Plough, Cory

2012-01-01

433

Unveiling facebook: a measurement study of social network based applications  

Microsoft Academic Search

Online 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 OpenSocial allows third- party developers to launch their own applications for the existing massive user base. The viral growth of these social applications can potentially influence how content

Atif Nazir; Saqib Raza; Chen-nee Chuah

2008-01-01

434

Proximal-Gradient Algorithms For Tracking Cascades Over Social Networks  

E-print Network

reasons e.g., when social media advertisers select a small set of initiators so that an online campaignProximal-Gradient Algorithms For Tracking Cascades Over Social Networks Brian Baingana, Student weights. Assuming a slowly time-varying topology and leveraging the sparse connectivity inherent to social

Giannakis, Georgios

435

A social network analysis on safety culture and worker's behaviour  

Microsoft Academic Search

In this paper social network approach will be used to analyze safety culture and worker's behaviour in manufacturing industry. For this purpose we assume that each characteristic of safety culture, as well as worker's behaviour, is a member of social group and the relationship among them represents social relationship. With this point of view, those relationships can be quantified by

Shamshuritawati Sharif; Maman A. Djauhari; Hariza Djauhari

2012-01-01

436

Professionalism in Student Online Social Networking: The Role of Educators  

ERIC Educational Resources Information Center

Social media now form a common part of university students' experience. Both at university and after graduation, in their personal and professional lives, social media offer opportunities for connection previously unavailable. The ubiquitous nature of social networking has brought with it professional and ethical issues that need to be…

Chester, A.; Kienhuis, M.; Pisani, H.; Shahwan-Akl, L.; White, K.

2013-01-01

437

Constellation: Programming decentralised social networks Anne-Marie Kermarrec1  

E-print Network

Constellation: Programming decentralised social networks Anne-Marie Kermarrec1 1 INRIA Rennes, Constellation, that seeks to simplify the realisa- tion and experimentation with modular social gossip-based applications. Constellation is based on two central obser- vations: (i) future decentralised social

Paris-Sud XI, Université de

438

Segregation in social networks based on acquaintanceship and trust  

Microsoft Academic Search

Using newly collected data from the General Social Survey, we compare levels of segregation by race and along other potential dimensions of social cleavage for ties defined in terms of trust and acquaintanceship. We further estimate the size of the trust network and compare its size and structure to recent estimates obtained from the 2004 General Social Survey by McPherson

Thomas A. DiPrete; Andrew Gelman; Julien Teitler; Tian Zheng; Tyler McCormick

2008-01-01

439

A publication of battleof the new sociAl networks  

E-print Network

of the pros and cons of each social network. the side-by-side comparison should help you prioritize which marketing Plus more apps and integrations leAd generAtion U blogging & sociAl MediA q eMAil & AutoMAtion M role not only in social media communication, but also across various marketing initiatives

Huang, Jianyu

440

ASCI, 2010 Analysis of BBO Fans Social Networks Analysis of  

E-print Network

1 ASCI, 2010 ­ Analysis of BBO Fans Social Networks Analysis of BBO Fans, an Online Social Gaming of BBO Fans 2 What's in a name? 1. Virtual world Explore, do, learn, socialize, compete + 2. Content the gaming experience #12;ASCI, 2010 ­ Analysis of BBO Fans 3 MSGs are a Popular, Growing Market · 25

Iosup, Alexandru

441

Learning to Infer Social Ties in Large Networks  

Microsoft Academic Search

\\u000a In online social networks, most relationships are lack of meaning labels (e.g., “colleague” and “intimate friends”), simply\\u000a because users do not take the time to label them. An interesting question is: can we automatically infer the type of social\\u000a relationships in a large network? what are the fundamental factors that imply the type of social relationships? In this work,\\u000a we

Wenbin Tang; Honglei Zhuang; Jie Tang

442

Building a dynamic and computational understanding of personal social networks  

Microsoft Academic Search

While individuals' personal social networks are extremely important in their day-to-day lives, computational systems lack meaningful representations of them. We argue that recent trends in computer-mediated communication, the ubiquity of smartphones, usage of online services, and new approaches to real-world social science experimentation have created an opportunity to dynamically generate representations of personal social networks that will be useful in

Jason Wiese; Jason I. Hong; John Zimmerman

2012-01-01

443

Analysis of topological characteristics of huge online social networking services  

Microsoft Academic Search

Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life social net- works. In this paper, we compare the structures of three online social networking services: Cyworld, MySpace, and orkut, each with more than 10 million users, respectively. We have access to complete

Yong-yeol Ahn; Seungyeop Han; Haewoon Kwak; Sue Moon; Hawoong Jeong

2007-01-01

444

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

PubMed Central

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) provides the necessary tool kit for investigating questions involving relational data. We introduce basic concepts in SNA, along with methods for data collection, data processing, and data analysis, using a previously collected example study on an undergraduate biology classroom as a tutorial. We conduct descriptive analyses of the structure of the network of costudying relationships. We explore generative processes that create observed study networks between students and also test for an association between network position and success on exams. We also cover practical issues, such as the unique aspects of human subjects review for network studies. Our aims are to convince readers that using SNA in classroom environments allows rich and informative analyses to take place and to provide some initial tools for doing so, in the process inspiring future educational studies incorporating relational data.

Wiggins, Benjamin L.; Goodreau, Steven M.

2014-01-01

445

Social networks uncovered: 10 tips every plastic surgeon should know.  

PubMed

Understanding online social networks is of critical importance to the plastic surgeon. With knowledge, it becomes apparent that the numerous networks available are similar in their structure, usage, and function. The key is communication between Internet media such that one maximizes exposure to patients. This article focuses on 2 social networking platforms that we feel provide the most utility to plastic surgeons. Ten tips are provided for incorporation of Facebook and Twitter into your practice. PMID:23042902

Dauwe, Phillip; Heller, Justin B; Unger, Jacob G; Graham, Darrell; Rohrich, Rod J

2012-11-01

446

Polarity Related Influence Maximization in Signed Social Networks  

PubMed Central

Influence maximization in social networks has been widely studied motivated by applications like spread of ideas or innovations in a network and viral marketing of products. Current studies focus almost exclusively on unsigned social networks containing only positive relationships (e.g. friend or trust) between users. Influence maximization in signed social networks containing both positive relationships and negative relationships (e.g. foe or distrust) between users is still a challenging problem that has not been studied. Thus, in this paper, we propose the polarity-related influence maximization (PRIM) problem which aims to find the seed node set with maximum positive influence or maximum negative influence in signed social networks. To address the PRIM problem, we first extend the standard Independent Cascade (IC) model to the signed social networks and propose a Polarity-related Independent Cascade (named IC-P) diffusion model. We prove that the influence function of the PRIM problem under the IC-P model is monotonic and submodular Thus, a greedy algorithm can be used to achieve an approximation ratio of 1-1/e for solving the PRIM problem in signed social networks. Experimental results on two signed social network datasets, Epinions and Slashdot, validate that our approximation algorithm for solving the PRIM problem outperforms state-of-the-art methods. PMID:25061986

Li, Dong; Xu, Zhi-Ming; Chakraborty, Nilanjan; Gupta, Anika; Sycara, Katia; Li, Sheng

2014-01-01

447

Similarity facilitates relationships on social networks: a field experiment on facebook.  

PubMed

People interact more readily with someone with whom they think they have something in common, but the effect of an incidental similarity has never been examined on social networks. Facebook users were contacted by a stranger who also possessed a Facebook page and who asked them to become his friend. The request message contained one item of similarity, two items of similarity, or none. Compliance to the request was the dependent variable. Increased compliance to the request was found when comparing the two similarity conditions with the control no-similarity condition. However, no difference was found between the two similarity conditions. Similarity appears to foster relationships on social networks. PMID:24340812

Martin, Angélique; Jacob, Céline; Guéguen, Nicolas

2013-08-01

448

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

Microsoft Academic Search

An increasing fraction of today's social interactions occur using online social media as communication channels. Recent worldwide events, such as social movements in Spain or revolts in the Middle East, highlight their capacity to boost people's coordination. Online networks display in general a rich internal structure where users can choose among different types and intensity of interactions. Despite this, there

Przemyslaw A. Grabowicz; José J. Ramasco; Esteban Moro; Josep M. Pujol; Victor M. Eguiluz

2012-01-01

449

Social Support and Social Network Ties among the Homeless in a Downtown Atlanta Park  

ERIC Educational Resources Information Center

This study applies a typology of social support with 3 categories of social networks to investigate social ties and their benefits for homeless people. Data were derived from a 2-year long series of participant observations of homeless or precariously housed people who came regularly to a downtown Atlanta public park. The findings are as follows:…

Reitzes, Donald C.; Crimmins, Timothy J.; Yarbrough, Johanna; Parker, Josie

2011-01-01

450

Adolescents’ Social Environment and Depression: Social Networks, Extracurricular Activity, and Family Relationship Influences  

Microsoft Academic Search

The present study examined components of adolescents’ social environment (social network, extracurricular activities, and\\u000a family relationships) in association with depression. A total of 332 adolescents presenting for a routine medical check-up\\u000a were self-assessed for social network risk (i.e., smoking habits of best male and female friends), extracurricular activity\\u000a level (i.e., participation in organized sports teams, clubs, etc.), family relationship quality

Michael J. Mason; Christopher Schmidt; Anisha Abraham; Leslie Walker; Kenneth Tercyak

2009-01-01

451

Walk-based measure of balance in signed networks: Detecting lack of balance in social networks  

NASA Astrophysics Data System (ADS)

There is a longstanding belief that in social networks with simultaneous friendly and hostile interactions (signed networks) there is a general tendency to a global balance. Balance represents a state of the network with a lack of contentious situations. Here we introduce a method to quantify the degree of balance of any signed (social) network. It accounts for the contribution of all signed cycles in the network and gives, in agreement with empirical evidence, more weight to the shorter cycles than to the longer ones. We found that, contrary to what is generally believed, many signed social networks, in particular very large directed online social networks, are in general very poorly balanced. We also show that unbalanced states can be changed by tuning the weights of the social interactions among the agents in the network.

Estrada, Ernesto; Benzi, Michele

2014-10-01

452

A systematic review protocol: social network analysis of tobacco use  

PubMed Central

Background Tobacco use is the single most preventable cause of death in the world. Evidence indicates that behaviours such as tobacco use can influence social networks, and that social network structures can influence behaviours. Social network analysis provides a set of analytic tools to undertake methodical analysis of social networks. We will undertake a systematic review to provide a comprehensive synthesis of the literature regarding social network analysis and tobacco use. The review will answer the following research questions: among participants who use tobacco, does social network structure/position influence tobacco use? Does tobacco use influence peer selection? Does peer selection influence tobacco use? Methods We will follow the Preferred Reporting Items for Systemic Reviews and Meta-Analyses (PRISMA) guidelines and search the following databases for relevant articles: CINAHL (Cumulative Index to Nursing and Allied Health Literature); Informit Health Collection; PsycINFO; PubMed/MEDLINE; Scopus/Embase; Web of Science; and the Wiley Online Library. Keywords include tobacco; smoking; smokeless; cigarettes; cigar and ‘social network’ and reference lists of included articles will be hand searched. Studies will be included that provide descriptions of social network analysis of tobacco use. Qualitative, quantitative and mixed method data that meets the inclusion criteria for the review, including methodological rigour, credibility and quality standards, will be synthesized using narrative synthesis. Results will be presented using outcome statistics that address each of the research questions. Discussion This systematic review will provide a timely evidence base on the role of social network analysis of tobacco use, forming a basis for future research, policy and practice in this area. This systematic review will synthesise the evidence, supporting the hypothesis that social network structures can influence tobacco use. This will also include exploring the relationship between social network structure, social network position, peer selection, peer influence and tobacco use across all age groups, and across different demographics. The research will increase our understanding of social networks and their impact on tobacco use, informing policy and practice while highlighting gaps in the literature and areas for further research. PMID:25108616

2014-01-01

453

Social Networks Community Detection Using the Shapley Value  

E-print Network

of social networking websites like Facebook and Twitter, analysis of the structure of these networks of similar customers in the purchase network (e.g. www.amazon.com) enhances recommendation systems and Twitter have been receiving most attentions and become very popular among cyberspace users, since

Sukthankar, Gita Reese

454

Beyond Traditional DTN Routing: Social Networks for Opportunistic Communication  

E-print Network

This article examines the evolution of routing protocols for intermittently connected ad hoc networks and discusses the trend toward social-based routing protocols. A survey of current routing solutions is presented, where routing protocols for opportunistic networks are classified based on the network graph employed. The need to capture performance tradeoffs from a multi-objective perspective is highlighted.

Schurgot, Mary R; Jaffrès-Runser, Katia

2011-01-01

455

Pioneers of Influence Propagation in Social Networks Kumar Gaurav  

E-print Network

.Keeler@inria.fr ABSTRACT With the growing importance of corporate viral marketing campaigns on online social networks, the interest in studies of influence propagation through networks is higher than ever. In a viral marketing fraction of the population by diffusion of influence through the network. In general, any marketing

Paris-Sud XI, Université de

456

An Anonymous Social Network Site to Share Pictures  

Microsoft Academic Search

A social network site (SNS) is a Web 2.0 software application used by many Internet users. These types of networks have their advantages and disadvantages. The main advantage is the degree of communication that they can bring among users. This can improve the work environment, the productivity and also the educational environment. The negative point of these networks is communication

Miguel Garcia; Sandra Sendra; Jordi Girones; Jaime Lloret

2009-01-01

457

Youth as Content Producers in a Niche Social Network Site  

ERIC Educational Resources Information Center

Most U.S. teenagers participate in online social network sites, devoting hours to these networks, often at the expense of other leisure-time activities. This article describes young people's activities within one topic-focused niche network, outlining its unique features and the role of young people as content producers within and beyond the…

Greenhow, Christine

2010-01-01

458

Control of Preferences in Social Networks Georgios C. Chasparis  

E-print Network

in the network model. Contrary to prior work in optimal advertising, which also accounts for network influences is concerned with the derivation of optimal marketing strategies in a social network of customers whose preferences are affected by both their neighbors' preferences and the incentives provided through advertising

Shamma, Jeff S.

459

How social networks influence female students' choices to major in engineering  

NASA Astrophysics Data System (ADS)

Scope and Method of Study: This study examined how social influence plays a part in female students' choices of college major, specifically engineering instead of science, technology, and math. Social influence may show itself through peers, family members, and teachers and may encompass resources under the umbrella of social capital. The purpose of this study was to examine how female students' social networks, through the lens of social capital, influence her major choice of whether or not to study engineering. The variables of peer influence, parental influence, teacher/counselor influence, perception of engineering, and academic background were addressed in a 52 question, Likert scale survey. This survey has been modified from an instrument previously used by Reyer (2007) at Bradley University. Data collection was completed using the Dillman (2009) tailored design model. Responses were grouped into four main scales of the dependent variables of social influence, encouragement, perceptions of engineering and career motivation. A factor analysis was completed on the four factors as a whole, and individual questions were not be analyzed. Findings and Conclusions: This study addressed the differences in social network support for female freshmen majoring in engineering versus female freshmen majoring in science, technology, or math. Social network support, when working together from all angles of peers, teachers, parents, and teachers/counselors, transforms itself into a new force that is more powerful than the summation of the individual parts. Math and science preparation also contributed to female freshmen choosing to major in engineering instead of choosing to major in science, technology, or math. The STEM pipeline is still weak and ways in which to reinforce it should be examined. Social network support is crucial for female freshmen who are majoring in science, technology, engineering, and math.

Weinland, Kathryn Ann

460

Economic, social and institutional conditions of network governance : Network governance in East Asia  

Microsoft Academic Search

Purpose – This paper intends to discuss the effect of social and institutional mechanisms in allowing network governance embedded in non-contractual and social relations to emerge and persist. Design\\/methodology\\/approach – Building on the extant theoretical literature on network governance of varied research strands and drawing empirical observations from research on East Asian network governance, the paper explores the effect of

Woojin Yoon; Eunjung Hyun

2010-01-01

461

Mobile Social Networking: A Case Study in an Australian Mobile Network Operator  

Microsoft Academic Search

In the context of increased importance of social applications and convergence between mobile and Web technological domains, this paper investigates potential strategies that MNOs can adopt regarding the offer of mobile social networking services. A case study in an Australian mobile network operator is presented in order to highlight the decision-making process for the launch of mobile networking services. General

Marcelo Nogueira Cortimiglia; Filippo Renga; Antonio Ghezzi

2011-01-01

462

Epidemic spreading in a hierarchical social network  

NASA Astrophysics Data System (ADS)

A model of epidemic spreading in a population with a hierarchical structure of interpersonal interactions is described and investigated numerically. The structure of interpersonal connections is based on a scale-free network. Spatial localization of individuals belonging to different social groups, and the mobility of a contemporary community, as well as the effectiveness of different interpersonal interactions, are taken into account. Typical relations characterizing the spreading process, like a range of epidemic and epidemic curves, are discussed. The influence of preventive vaccinations on the spreading process is investigated. The critical value of preventively vaccinated individuals that is sufficient for the suppression of an epidemic is calculated. Our results are compared with solutions of the master equation for the spreading process and good agreement of the character of this process is found.

Grabowski, A.; Kosi?ski, R. A.

2004-09-01

463

Invited review: Epidemics on social networks  

E-print Network

Since its first formulations almost a century ago, mathematical models for disease spreading contributed to understand, evaluate and control the epidemic processes.They promoted a dramatic change in how epidemiologists thought of the propagation of infectious diseases.In the last decade, when the traditional epidemiological models seemed to be exhausted, new types of models were developed.These new models incorporated concepts from graph theory to describe and model the underlying social structure.Many of these works merely produced a more detailed extension of the previous results, but some others triggered a completely new paradigm in the mathematical study of epidemic processes. In this review, we will introduce the basic concepts of epidemiology, epidemic modeling and networks, to finally provide a brief description of the most relevant results in the field.

Kuperman, Marcelo N

2013-01-01

464

Social Norms, Social Networks, and HIV Risk Behavior Among Injection Drug Users  

Microsoft Academic Search

Social network structure and norms are linked to HIV risk behavior. However little is known about the gradient of norm of\\u000a HIV risk that exists among social networks. We examined the association between injection risk network structure and HIV risk\\u000a norms among 818 injection drug users (IDUs). IDUs were categorized into four distinct groups based on their risk behaviors\\u000a with

C. A. Latkin; S. J. Kuramoto; M. A. Davey-Rothwell; K. E. Tobin

2010-01-01

465

Social dilemmas in an online social network: The structure and evolution of cooperation  

Microsoft Academic Search

We investigate two paradigms for studying the evolution of cooperation—Prisoner's Dilemma and Snowdrift game in an online friendship network, obtained from a social networking site. By structural analysis, it is revealed that the empirical social network has small-world and scale-free properties. Besides, it exhibits assortative mixing pattern. Then, we study the evolutionary version of the two types of games on

Feng Fu; Xiaojie Chen; Lianghuan Liu; Long Wang

2007-01-01

466

Socioscope: Human Relationship and Behavior Analysis in Social Networks  

Microsoft Academic Search

In this paper, we propose a socioscope model for social-network and human-behavior analysis based on mobile- phone call-detail records. Because of the diversity and complexity of human social behavior, no one technique will detect every attribute that arises when humans engage in social behaviors. We use multiple probability and statistical methods for quanti- fying social groups, relationships, and communication patterns

Huiqi Zhang; Ram Dantu; João W. Cangussu

2011-01-01

467

Social Network Analysis: A case study of the Islamist terrorist network  

SciTech Connect

Social Network Analysis is a compilation of methods used to identify and analyze patterns in social network systems. This article serves as a primer on foundational social network concepts and analyses and builds a case study on the global Islamist terrorist network to illustrate the use and usefulness of these methods. The Islamist terrorist network is a system composed of multiple terrorist organizations that are socially connected and work toward the same goals. This research utilizes traditional social network, as well as small-world, and scale-free analyses to characterize this system on individual, network and systemic levels. Leaders in the network are identified based on their positions in the social network and the network structure is categorized. Finally, two vital nodes in the network are removed and this version of the network is compared with the previous version to make implications of strengths, weaknesses and vulnerabilities. The Islamist terrorist network structure is found to be a resilient and efficient structure, even with important social nodes removed. Implications for counterterrorism are given from the results of each analysis.

Medina, Richard M [ORNL

2012-01-01

468

Online Social Network Sites and the Concept of Social Capital  

E-print Network

and other resources (boyd & Ellison, 2007; Ellison et al., 2007). Such SNS benefits are derived from social from this body of work, and to examine the underlying mechanisms through which social capital benefits strategies, as well as aid designers who are adding social features to many new forms of online media

Steinfield, Charles

469

Affinity Prediction in Online Social Networks  

E-print Network

Link prediction is the problem of inferring whether potential edges between pairs of vertices in a graph will be present or absent in the near future. To perform this task it is usual to use information provided by a number of available and observed vertices/edges. Then, a number of edge scoring methods based on this information can be created. Usually, these methods assess local structures of the observed graph, assuming that closer vertices in the original period of observation will be more likely to form a link in the future. In this paper we explore the combination of local and global features to conduct link prediction in online social networks. The contributions of the paper are twofold: a) We evaluate a number of strategies that combines global and local features tackling the locality assumption of link prediction scoring methods, and b) We only use network topology-based features, avoiding the inclusion of informational or transactional based features that involve heavy computational costs in the meth...

Estrada, Matias

2014-01-01

470

Electronic Word-of-Mouth in Social Networking Sites: A Cross-Cultural Study of the United States and China  

Microsoft Academic Search

Understanding electronic word-of-mouth (eWOM) in social networking sites (SNSs) is crucial as consumers have potential to reach global audiences quickly and easily. This article presents the first cross-cultural study on eWOM in SNSs by examining social relationship variables between the United States and China. Specifically, social capital, tie strength, trust, and interpersonal influence were examined as potential predictors of eWOM

Shu-Chuan Chu; Sejung Marina Choi

2011-01-01

471

Reduced Heart Rate Variability in Social Anxiety Disorder: Associations with Gender and Symptom Severity  

PubMed Central

Background Polyvagal theory emphasizes that autonomic nervous system functioning plays a key role in social behavior and emotion. The theory predicts that psychiatric disorders of social dysfunction are associated with reduced heart rate variability, an index of autonomic control, as well as social inhibition and avoidance. The purpose of this study was to examine whether heart rate variability was reduced in treatment-seeking patients diagnosed with social anxiety disorder, a disorder characterized by social fear and avoidance. Methods Social anxiety patients (n?=?53) were recruited prior to receiving psychological therapy. Healthy volunteers were recruited through the University of Sydney and the general community and were matched by gender and age (n?=?53). Heart rate variability was assessed during a five-minute recording at rest, with participants completing a range of self-report clinical symptom measures. Results Compared to controls, participants with social anxiety exhibited significant reductions across a number of heart rate variability measures. Reductions in heart rate variability were observed in females with social anxiety, compared to female controls, and in patients taking psychotropic medication compared to non-medicated patients. Finally, within the clinical group, we observed significant associations between reduced heart rate variability and increased social interaction anxiety, psychological distress, and harmful alcohol use. Conclusions The results of this study confirm that social anxiety disorder is associated with reduced heart rate variability. Resting state heart rate variability may therefore be considered a marker for social approach-related motivation and capacity for social engagement. Additionally, heart rate variability may provide a useful biomarker to explain underlying difficulties with social approach, impaired stress regulation, and behavioral inhibition, especially in disorders associated with significant impairments in these domains. PMID:23936207

Alvares, Gail A.; Quintana, Daniel S.; Kemp, Andrew H.; Van Zwieten, Anita; Balleine, Bernard W.; Hickie, Ian B.; Guastella, Adam J.

2013-01-01

472

Social features of online networks: the strength of weak ties in online social media  

E-print Network

An increasing fraction of today social interactions occurs using online social media as communication channels. Recent worldwide events, such as the revolts in Middle East or the recent social movements in Spain, reflect their capacity to boost people coordination. Online networks display, in general, a rich internal structure where users can choose among different types and intensity of interactions. Despite of this and their growing popularity, there are still open questions regarding the social value of online relations. For example, the existence of users with thousands or millions of online friends sheds doubts on the relevance of these connections. In this work, we focus on Twitter, one of the most popular online social networks, and find that the network formed by the basic type of relations is organized in groups. The activity of the users in the network is related to the landscape determined by such groups. Twitter's distinction between different types o interactions allows us to establish a parallel...

Grabowicz, Przemyslaw A; Moro, Esteban; Pujol, Josep; Eguiluz, Victor M

2011-01-01

473

Local Learning in Probabilistic Networks with Hidden Variables  

Microsoft Academic Search

Probabilistic networks which provide compact descriptions of complex stochastic relationships among several random variables are rapidly be­ coming the tool of choice for uncertain reason­ ing in artificial intelligence We show that net­ works with fixed structure containing hidden vari­ ables can be learned automatically from data using a gradient-desce nt mechanism similar to that used in neural networks We

Stuart J. Russell; John Binder; Daphne Koller; Keiji Kanazawa

1995-01-01

474

Assembling thefacebook: Using heterogeneity to understand online social network assembly  

E-print Network

Online social networks represent a popular and highly diverse class of social media systems. Despite this variety, each of these systems undergoes a general process of online social network assembly, which represents the complicated and heterogeneous changes that transform newly born systems into mature platforms. However, little is known about this process. For example, how much of a network's assembly is driven by simple growth? How does a network's structure change as it matures? How does network structure vary with adoption rates and user heterogeneity, and do these properties play different roles at different points in the assembly? We investigate these and other questions using a unique dataset of online connections among the roughly one million users at the first 100 colleges admitted to Facebook, captured just 20 months after its launch. We first show that different vintages and adoption rates across this population of networks reveal temporal dynamics of the assembly process, and that assembly is onl...

Jacobs, Abigail Z; Ugander, Johan; Clauset, Aaron

2015-01-01

475

On investigating social dynamics in tactical opportunistic mobile networks  

NASA Astrophysics Data System (ADS)

The efficiency of military mobile network operations at the tactical edge is challenging due to the practical Disconnected, Intermittent, and Limited (DIL) environments at the tactical edge which make it hard to maintain persistent end-to-end wireless network connectivity. Opportunistic mobile networks are hence devised to depict such tactical networking scenarios. Social relations among warfighters in tactical opportunistic mobile networks are implicitly represented by their opportunistic contacts via short-range radios, but were inappropriately considered as stationary over time by the conventional wisdom. In this paper, we develop analytical models to probabilistically investigate the temporal dynamics of this social relationship, which is critical to efficient mobile communication in the battlespace. We propose to formulate such dynamics by developing various sociological metrics, including centrality and community, with respect to the opportunistic mobile network contexts. These metrics investigate social dynamics based on the experimentally validated skewness of users' transient contact distributions over time.

Gao, Wei; Li, Yong

2014-06-01

476

Social Area Networks: Data Networking of the People, by the People, for the People  

Microsoft Academic Search

In this position paper we explore a holistic approach for the integration of social and human-level concepts with all layers of the communication network. This integration is bidirectional - the social information can help inform and configure network-level parameters, while network information can contribute to the gathering and learning of social-level information. We review existing work and emerging trends in

Nadav Aharony; David P. Reed; Andrew Lippman

2009-01-01

477

Computer Networks as Social Networks: Collaborative Work, Telework, and Virtual Community  

Microsoft Academic Search

When computer networks link people as well as machines, they become social networks. Such computer-supported social networks (CSSNs) are becoming im- portant bases of virtual communities, computer-supported cooperative work, and telework. Computer-mediated communication such as electronic mail and com- puterized conferencing is usually text-based and asynchronous. It has limited social presence, and on-line communications are often more uninhibited, cre- ative,

Barry Wellman; Janet Salaff; Dimitrina Dimitrova; Laura Garton; Milena Gulia; Caroline Haythornthwaite

1996-01-01

478

Social Networking Sites as Virtual Communities of Practice: A Mixed Method Study  

ERIC Educational Resources Information Center

Membership in social networking sites is increasing rapidly. Social networking sites serve many purposes including networking, communication, recruitment, and sharing knowledge. Social networking sites, public or private, may be hosted on applications such as Facebook and LinkedIn. As individuals begin to follow and participate in social

Davis, Lorretta J.

2010-01-01

479

Online social networks for personal informatics to promote positive health behavior  

Microsoft Academic Search

Social network services are becoming increasingly popular, and people are using these networks to obtain and share information. The application of social network and social media to the collection, storage and review of personal information presents opportunities for improved personal health management. This paper presents a survey of the literature on the models for the use of online social networks

Noreen Kamal; Sidney Fels; Kendall Ho

2010-01-01

480

Privacy-preserving matchmaking For mobile social networking secure against malicious users  

Microsoft Academic Search

The success of online social networking and of mobile phone services has resulted in increased attention to mobile social networking. Matchmaking is a key component of mobile social networking. It notifies users of nearby people who fulfil some criteria, such as having shared interests, and who are therefore good candidates for being added to a user's social network. Unfortunately, the

Qi Xie; Urs Hengartner

2011-01-01

481

A New Approach to Organizations: Stability and Transformation in Dark Social Networks  

Microsoft Academic Search

Uncovering information from well-defined organizations for social network analysis is straightforward, but such analyses of social networks have not led to valid predictions about their actions or stability. For dark social networks, which comprise illicit drug gangs or terrorists, uncovering information to compute a social network analysis is more difficult to solve. The authors used a new theory that is

W. F. Lawless; Fjorentina Angjellari-Dajci; Donald A. Sofge; James Grayson; José Luis Sousa; Laura Rychly

2011-01-01

482

Reliable Online Social Network Data Collection Fehmi Ben Abdesslem, Iain Parris, and Tristan Henderson  

E-print Network

Reliable Online Social Network Data Collection Fehmi Ben Abdesslem, Iain Parris, and Tristan Henderson Large quantities of information are shared through online social networks, making them attractive sources of data for social network research. When studying the usage of online social networks, these data

Henderson, Tristan

483

Int. J. Social Network Mining, Vol. 1, No. 1, 2012 1 Community Structure Discovery in Facebook  

E-print Network

of information from Web sources, analysis of online social networks, social media, biological networks the last years the Online Social Network (OSN) phenomenon spread at an incredible high growth rate. The increasing popularity of platforms of online social-networking attracted the attention of both computer

Ferrara, Emilio

484

APS/EK10599 Weak Ties: Subtle Role of Information Diffusion in Online Social Networks  

E-print Network

APS/EK10599 Weak Ties: Subtle Role of Information Diffusion in Online Social Networks Jichang Zhao, Beijing 100191, P.R.China (Dated: December 14, 2010) As a social media, online social networks play of the diffusion in online social networks is different from the ones in other types of networks and remains

Xu, Ke

485

Scalable e-business social network using MultiCrawler agent  

Microsoft Academic Search

Social networking is a big buzz phrase nowadays. It refers to the practice of interacting with others online via blogs, forums, social media sites and other outlets. The importance of social networking is to let others know that we are exists. Social network can show how people in our extended network are related to each other. In this paper, we

S. N. A. Ibrahim; A. Selamat; M. H. Selamat

2008-01-01

486

Sage Handbook of Social Network Edited by John Scott & Peter Carrington  

E-print Network

and Virginie Lopez-Kidwell 5 Social Physics and Social Networks John Scott 6 Social Networks in Economics. Carrington 18 Terrorist Networks: The Threat of Connectivity Renée C. van der Hulst 19 Scientific and Methods 23 A Brief Introduction to Analyzing Social Network Data Robert A. Hanneman and Mark Riddle 24

White, Douglas R.

487

A Brief Survey on Anonymization Techniques for Privacy Preserving Publishing of Social Network Data  

E-print Network

Attacks Using Published Social Network Data As more and more rich social media, popular online socialA Brief Survey on Anonymization Techniques for Privacy Preserving Publishing of Social Network Data, more and more social network data has been made publicly available and analyzed in one way or another

Zhang, Richard "Hao"

488

Social Working Memory: Neurocognitive Networks and Directions for Future Research  

PubMed Central

Navigating the social world requires the ability to maintain and manipulate information about people’s beliefs, traits, and mental states. We characterize this capacity as social working memory (SWM). To date, very little research has explored this phenomenon, in part because of the assumption that general working memory systems would support working memory for social information. Various lines of research, however, suggest that social cognitive processing relies on a neurocognitive network (i.e., the “mentalizing network”) that is functionally distinct from, and considered antagonistic with, the canonical working memory network. Here, we review evidence suggesting that demanding social cognition requires SWM and that both the mentalizing and canonical working memory neurocognitive networks support SWM. The neural data run counter to the common finding of parametric decreases in mentalizing regions as a function of working memory demand and suggest that the mentalizing network can support demanding cognition, when it is demanding social cognition. Implications for individual differences in social cognition and pathologies of social cognition are discussed. PMID:23267340

Meyer, Meghan L.; Lieberman, Matthew D.

2012-01-01

489

Assessing the social networks of people with psychiatric disability from multiple perspectives.  

PubMed

The study uses a sample of 97 new members of a mutual-help organization for the seriously mentally ill and 97 of their significant others (61 family members and 36 friends) to examine 1) the degree to which respondents' perceptions of dyadic relationships can be corroborated by network members and 2) the relationship of congruence of perception between respondent-network member pairs, characteristics of respondents' social networks and self-reported symptoms and social adjustment. Results showed strong variability in the degree to which respondents' perceptions were corroborated by network members, with a higher degree of corroboration for factual information such as face-to-face contact than for global aspects of dyadic relationships. Congruence of perception between respondents and family was associated with respondents' feelings of satisfaction about the quality of network ties and better psychological and social functioning. In contrast, congruence of perception between respondents and friends was related to a sense of involvement from ones network, but unrelated to respondents' mental health. The advantages of multiple perspectives data in studying the social ties of people with psychiatric disability are discussed. PMID:7587155

Stein, C H; Rappaport, J; Seidman, E

1995-08-01

490

What determines social capital in a social-ecological system? Insights from a network perspective.  

PubMed

Social capital is an important resource that can be mobilized for purposive action or competitive gain. The distribution of social capital in social-ecological systems can determine who is more productive at extracting ecological resources and who emerges as influential in guiding their management, thereby empowering some while disempowering others. Despite its importance, the factors that contribute to variation in social capital among individuals have not been widely studied. We adopt a network perspective to examine what determines social capital among individuals in social-ecological systems. We begin by identifying network measures of social capital relevant for individuals in this context, and review existing evidence concerning their determinants. Using a complete social network dataset from Hawaii's longline fishery, we employ social network analysis and other statistical methods to empirically estimate these measures and determine the extent to which individual stakeholder attributes explain variation within them. We find that ethnicity is the strongest predictor of social capital. Measures of human capital (i.e., education, experience), years living in the community, and information-sharing attitudes are also important. Surprisingly, we find that when controlling for other factors, industry leaders and formal fishery representatives are generally not well connected. Our results offer new quantitative insights on the relationship between stakeholder diversity, social networks, and social capital in a coupled social-ecological system, which can aid in identifying barriers and opportunities for action to overcome resource management problems. Our results also have implications for achieving resource governance that is not only ecologically and economically sustainable, but also equitable. PMID:25376745

Barnes-Mauthe, Michele; Gray, Steven Allen; Arita, Shawn; Lynham, John; Leung, PingSun

2015-02-01

491

What Determines Social Capital in a Social-Ecological System? Insights from a Network Perspective  

NASA Astrophysics Data System (ADS)

Social capital is an important resource that can be mobilized for purposive action or competitive gain. The distribution of social capital in social-ecological systems can determine who is more productive at extracting ecological resources and who emerges as influential in guiding their management, thereby empowering some while disempowering others. Despite its importance, the factors that contribute to variation in social capital among individuals have not been widely studied. We adopt a network perspective to examine what determines social capital among individuals in social-ecological systems. We begin by identifying network measures of social capital relevant for individuals in this context, and review existing evidence concerning their determinants. Using a complete social network dataset from Hawaii's longline fishery, we employ social network analysis and other statistical methods to empirically estimate these measures and determine the extent to which individual stakeholder attributes explain variation within them. We find that ethnicity is the strongest predictor of social capital. Measures of human capital (i.e., education, experience), years living in the community, and information-sharing attitudes are also important. Surprisingly, we find that when controlling for other factors, industry leaders and formal fishery representatives are generally not well connected. Our results offer new quantitative insights on the relationship between stakeholder diversity, social networks, and social capital in a coupled social-ecological system, which can aid in identifying barriers and opportunities for action to overcome resource management problems. Our results also have implications for achieving resource governance that is not only ecologically and economically sustainable, but also equitable.

Barnes-Mauthe, Michele; Gray, Steven Allen; Arita, Shawn; Lynham, John; Leung, PingSun

2015-02-01

492

Predictive coding of dynamical variables in balanced spiking networks.  

PubMed

Two observations about the cortex have puzzled neuroscientists for a long time. First, neural responses are highly variable. Second, the level of excitation and inhibition received by each neuron is tightly balanced at all times. Here, we demonstrate that both properties are necessary consequences of neural networks that represent information efficiently in their spikes. We illustrate this insight with spiking networks that represent dynamical variables. Our approach is based on two assumptions: We assume that information about dynamical variables can be read out linearly from neural spike trains, and we assume that neurons only fire a spike if that improves the representation of the dynamical variables. Based on these assumptions, we derive a network of leaky integrate-and-fire neurons that is able to implement arbitrary linear dynamical systems. We show that the membrane voltage of the neurons is equivalent to a prediction error about a common population-level signal. Among other things, our approach allows us to construct an integrator network of spiking neurons that is robust against many perturbations. Most importantly, neural variability in our networks cannot be equated to noise. Despite exhibiting the same single unit properties as widely used population code models (e.g. tuning curves, Poisson distributed spike trains), balanced networks are orders of magnitudes more reliable. Our approach suggests that spikes do matter when considering how the brain computes, and that the reliability of cortical representations could have been strongly underestimated. PMID:24244113

Boerlin, Martin; Machens, Christian K; Denève, Sophie

2013-01-01

493

Classification of Message Spreading in a Heterogeneous Social Network  

E-print Network

Nowadays, social networks such as Twitter, Facebook and LinkedIn become increasingly popular. In fact, they introduced new habits, new ways of communication and they collect every day several information that have different sources. Most existing research works fo-cus on the analysis of homogeneous social networks, i.e. we have a single type of node and link in the network. However, in the real world, social networks offer several types of nodes and links. Hence, with a view to preserve as much information as possible, it is important to consider so-cial networks as heterogeneous and uncertain. The goal of our paper is to classify the social message based on its spreading in the network and the theory of belief functions. The proposed classifier interprets the spread of messages on the network, crossed paths and types of links. We tested our classifier on a real word network that we collected from Twitter, and our experiments show the performance of our belief classifier.

Jendoubi, Siwar; Liétard, Ludovic; Yaghlane, Boutheina Ben

2015-01-01

494

Pinning impulsive synchronization of complex-variable dynamical network  

NASA Astrophysics Data System (ADS)

In this paper, pinning combining with impulsive control scheme is adopted to investigate the synchronization of complex-variable dynamical network. Based on the Lyapunov function method and mathematical analysis technique, sufficient conditions for achieving synchronization is first analytically derived. This result extends the condition derived for real-variable dynamical network to complex-variable network. Further, adaptive strategy is adopted to relax the restrictions on the impulsive intervals and reduce the control cost. Noticeably, the proposed adaptive pinning impulsive control scheme is universal for different dynamical networks to some extent. The impulsive instants are chosen by solving a series of maximum problems subject to the derived conditions. Several numerical simulations are performed to illustrate the effectiveness and correctness of the derived theoretical results.

Wu, Zhaoyan; Liu, Danfeng; Ye, Qingling

2015-01-01

495

Effects of Group Categories on the Structure of Online Social Networks  

E-print Network

Over the past few years there has been increasing research interests spent on online social networks. While some social networking sites such as Orkut, Facebook and Friendster are purely social, others such as YouTube, Flickr, and Live...

Stanley Laine, Michael Steve

2010-08-24

496

Systems approach to studying animal sociality: individual position versus group organization in dynamic social network models.  

PubMed

Social networks can be used to represent group structure as a network of interacting components, and also to quantify both the position of each individual and the global properties of a group. In a series of simulation experiments based on dynamic social networks, we test the prediction that social behaviors that help individuals reach prominence within their social group may conflict with their potential to benefit from their social environment. In addition to cases where individuals were able to benefit from improving both their personal relative importance and group organization, using only simple rules of social affiliation we were able to obtain results in which individuals would face a trade-off between these factors. While selection would favor (or work against) social behaviors that concordantly increase (or decrease, respectively) fitness at both individual and group level, when these factors conflict with each other the eventual selective pressure would depend on the relative returns individuals get from their social environment and their position within it. The presented results highlight the importance of a systems approach to studying animal sociality, in which the effects of social behaviors should be viewed not only through the benefits that those provide to individuals, but also in terms of how they affect broader social environment and how in turn this is reflected back on an individual's fitness. PMID:21203425

Hock, Karlo; Ng, Kah Loon; Fefferman, Nina H

2010-01-01

497

Bidirectional selection between two classes in complex social networks  

E-print Network

The bidirectional selection between two classes widely emerges in various social lives, such as commercial trading and mate choosing. Until now, the discussions on bidirectional selection in structured human society are quite limited. We demonstrated theoretically that the rate of successfully matching is affected greatly by individuals neighborhoods in social networks, regardless of the type of networks. Furthermore, it is found that the high average degree of networks contributes to increasing rates of successful matches. The matching performance in different types of networks has been quantitatively investigated, revealing that the small-world networks reinforces the matching rate more than scale-free networks at given average degree. In addition, our analysis is consistent with the modeling result, which provides the theoretical understanding of underlying mechanisms of matching in complex networks.

Zhou, Bin; Jiang, Luo-Luo; Wang, Nian-Xin; Wang, Bing-Hong

2015-01-01

498

Bidirectional selection between two classes in complex social networks  

NASA Astrophysics Data System (ADS)

The bidirectional selection between two classes widely emerges in various social lives, such as commercial trading and mate choosing. Until now, the discussions on bidirectional selection in structured human society are quite limited. We demonstrated theoretically that the rate of successfully matching is affected greatly by individuals' neighborhoods in social networks, regardless of the type of networks. Furthermore, it is found that the high average degree of networks contributes to increasing rates of successful matches. The matching performance in different types of networks has been quantitatively investigated, revealing that the small-world networks reinforces the matching rate more than scale-free networks at given average degree. In addition, our analysis is consistent with the modeling result, which provides the theoretical understanding of underlying mechanisms of matching in complex networks.

Zhou, Bin; He, Zhe; Jiang, Luo-Luo; Wang, Nian-Xin; Wang, Bing-Hong

2014-12-01

499

Use of social network sites for question and answer behavior  

E-print Network

In this thesis, we look at the behavior of posting questions as status updates on popular social network sites like Twitter and Facebook. This question asking behavior is similar to the use of search engines, question and ...

Panovich, Katrina (Katrina Marie)

2011-01-01

500

The New Normal: Social Networking and Student Affairs  

ERIC Educational Resources Information Center

This article explores both the potential and challenges associated with the widespread use of social networking among college students and the implications for civic engagement, equity and inclusion, and student success.

Kruger, Kevin

2013-01-01