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

An Anti_Turing Test: Reduced Variables for Social Network Friends' Recommendations  

E-print Network

A routine activity of social networks servers is to recommend candidate friends that one may know and stimulate addition of these people to one's contacts. An intriguing issue is how these recommendation lists are composed. This work investigates the main variables involved in the recommendation activity, in order to reproduce these lists including its time dependent characteristics. We propose relevant algorithms. Besides conventional approaches, such as friend_of_a_friend, two techniques of importance have not been emphasized in previous works: randomization and direct use of interestingness criteria. An automatic software tool to implement these techniques is proposed. Its architecture and implementation are discussed. After a preliminary analysis of actual data collected from social networks, the tool is used to simulate social network friends' recommendations.

Exman, Iaakov

2014-01-01

2

Models of social network intervention  

Microsoft Academic Search

Social network analysis is a concept leading to a description of the social relations that obtain between people. The personal or egocentric social network is the focus of this analysis. Features of a social network include both structural and interactional variables. The clinical significance of social networks may be supportive or destructive. A typological model is presented as a heuristic

Gary S. Hurd; E. Mansell Pattison; Robert Llamas

1981-01-01

3

Social Networking? Secure Networking?  

E-print Network

Social Networking? Secure Networking? Teaching & Learning Technology Roundtable February 2010 #12;Intended Outcomes 1. A shared understanding of: ­ What it means to socialize in a professional environment ­ The intent behind the current security measures in place at OHSU ­ The OHSU Social Networking Guidelines 2

Chapman, Michael S.

4

Social Networking  

Microsoft Academic Search

The major social networking tools like MySpace and Facebook give people an online identity-and an online space to call their own. Other social networking tools are more nuanced than sharing whole personalities like on MySpace. Tools like Library Thing, Flickr, and del. icio.us that focus on connecting people through certain media and interests offer specialized value to users. This paper

Melissa L. Rethlefsen

2007-01-01

5

Recommendation in Social Networks  

E-print Network

in Social Networks, Tutorial at RecSys 2013 7 Social Networks · Different types of social relationships 8 Social Networks · Explicit social network relationships provided by users · Implicit social] · The formation and evolution of social networks is affected by many effects, including ­Self-interest, ­Social

Ester, Martin

6

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

7

Social Networks, Social Media, Social Change  

E-print Network

CHAPTER XX Social Networks, Social Media, Social Change Jürgen Pfeffer, Kathleen M. Carley Carnegie Mellon University Pittsburgh, USA jpfeffer@cs.cmu.edu, kathleen.carley@cs.cmu.edu ABSTRACT Social Media. In particular, the Arab Spring 2011 has been heralded as a social media based social transformation

Sadeh, Norman M.

8

Social Learning in Social Networks  

E-print Network

This paper analyzes a model of social learning in a social network. Agents decide whether or not to adopt a new technology with unknown payoffs based on their prior beliefs and the experiences of their neighbors in the ...

Lamberson, Peter John

9

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

10

Social Network Leverage Search  

Microsoft Academic Search

Social networks are at an all time high, nowadays. They make the world a smaller place to live in. People can stay in touch with friends and can make new friends on these social networks which traditionally were not possible without internet service. The possibilities provided by social networks enable vast and immediate contact. People tend to spend lot of

Payal Gupta

2011-01-01

11

Social Network Analysis  

Microsoft Academic Search

\\u000a Social networks have long been central to some of the most influential theories in criminology. For researchers interested\\u000a in exploring social networks (or personal networks) and their relationship to crime, network analysis provides the leverage\\u000a to answer questions in a more refined way than do nonrelational analyses. Network approaches are gaining popularity in criminology,\\u000a but the formal use of network

Jean Marie McGloin; David S. Kirk

12

Visualizing Social Networks  

NASA Astrophysics Data System (ADS)

With todays ubiquity and popularity of social network applications, the ability to analyze and understand large networks in an efficient manner becomes critically important. However, as networks become larger and more complex, reasoning about social dynamics via simple statistics is not a feasible option. To overcome these limitations, we can rely on visual metaphors. Visualization nowadays is no longer a passive process that produces images from a set of numbers. Recent years have witnessed a convergence of social network analytics and visualization, coupled with interaction, that is changing the way analysts understand and characterize social networks. In this chapter, we discuss the main goal of visualization and how different metaphors are aimed towards elucidating different aspects of social networks, such as structure and semantics. We also describe a number of methods where analytics and visualization are interwoven towards providing a better comprehension of social structure and dynamics.

Correa, Carlos D.; Ma, Kwan-Liu

13

Social Networks Ulrik Brandes  

E-print Network

on information visualization approaches, interaction, and network applications from social media are given in [CM theory is the idea that seemingly autonomous individuals and organizations are in fact embedded in social perspective from other research traditions on social groups and social categories [Bar54]. In general

Brandes, Ulrik

14

Social skill as a determinant of social networks and perceived social support in schizophrenia  

Microsoft Academic Search

Factors influencing supportive social networks of people with schizophrenia are little understood. Data from 46 outpatients with schizophrenia were analysed using structural equation modelling to test plausible sets of inter-relationships between social skill, social networks, and social support. The data supported a tentative model about the causal relationships between variables. Paths showed that people with greater social skill had larger

E. M. Macdonald; H. J. Jackson; R. L. Hayes; A. J. Baglioni; C. Madden

1998-01-01

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

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.

IMPART RET Program, College of Information Science & Technology,

17

Social Networking Guidelines Student Social Media Policy  

E-print Network

Social Networking Guidelines Student Social Media Policy The Fogelman College of Business communicate and that students want to be a part of this ever-changing platform. Social networking sites expand courtesy. Follow the rules. Make sure you understand the policies and terms of use of any social media

Dasgupta, Dipankar

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

Social networking and adolescents.  

PubMed

Online social networking is a 21st century innovation increasingly embraced by today's young people. It provides new opportunities for communication that expand an adolescent's world. Yet adults, often suspicious of new trends and technologies initially embraced by youth, often see these new environments as perilous places to visit. These fears have been accentuated by media hype, especially about sexual predators. How dangerous are they? Because the rush to go on these sites is a new phenomenon, research is as yet scant. This review explores current beliefs and knowledge about the dangers of social networking sites. PMID:19492691

Fuld, Gilbert L

2009-04-01

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

Privacy, Social Network Sites, and Social Relations  

Microsoft Academic Search

With the growth of the Internet comes a growth in a ubiquitous networked society. Common Web 2.0 applications include a rapidly growing trend for social network sites. Social network sites typically converged different relationship types into one group of friends. However, with such vast interconnectivity, convergence of relationships, and information sharing by individual users comes an increased risk of privacy

David J. Houghton; Adam N. Joinson

2010-01-01

22

Social networking healthcare  

Microsoft Academic Search

The world of Social Networking, a cultural phenomenon of recent years, has evolved an application paradigm, Instant Messaging (IM), into a feature rich, highly interactive and context sensitive service delivery environment. Terms such as buddy lists, presence and IM-bots have emerged as building blocks for services that significantly enhance the user experience. Mapping this paradigm to healthcare can deliver a

Leigh Griffin; Eamonn de Leastar

2009-01-01

23

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

24

Trust Maximization in Social Networks  

Microsoft Academic Search

\\u000a Trust is a human-related phenomenon in social networks. Trust research on social networks has gained much attention on its\\u000a usefulness, and on modeling propagations. There is little focus on finding maximum trust in social networks which is particularly\\u000a important when a social network is oriented by certain tasks. In this paper, we propose a trust maximization algorithm based\\u000a on the

Justin Zhan; Xing Fang

2011-01-01

25

Analyzing Enterprise Social Media Networks  

Microsoft Academic Search

Broadening adoption of social media applications within the enterprise offers a new and valuable data source for insight into the social structure of organizations. Social media applications generate networks when employees use features to create \\

Marc Smith; Derek L. Hansen; Eric Gleave

2009-01-01

26

Consensus formation in social networks  

NASA Astrophysics Data System (ADS)

In social networks, friendships emerge and fade, as individuals develop and change their opinions. Here, we discuss a simple model of such a network, in which the agents (``individuals'') are modeled by Ising spins on the nodes of the network, while their connections (``friendships'') are modeled by the presence or absence of edges. Nodes evolve according to a simple majority rule, and links are established or removed between pairs of nodes, depending on their spin content. Thus, both nodes and links become dynamic variables, correlated with each other, and the network is termed ``adaptive.'' Using simulations and exact solutions, we look at an extensive vs an intensive version of the model: In the former, the average degree scales with the number of nodes while remaining fixed in the latter. We analyze the long-time behavior of these two versions, both for finite systems and in the thermodynamic limit. We find significant differences, both with regards to the number of phases found in the thermodynamic limit, and with regards to the life times of metastable states in finite systems. Consequences for social networks with spatial structure will be discussed.

Schmittmann, Beate

2010-03-01

27

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

28

Online social network acceptance: a social perspective  

Microsoft Academic Search

Purpose Building upon studies of social psychology and information system literature, this study aims to propose and empirically test a research model that incorporates interpersonal motives (sociability and status) and hedonic motive (perceived enjoyment), and the three processes of social influence: compliance, identification and internalisation, to explain one's intention to use social network (SN) web sites. Design\\/methodology\\/approach The

David C. Li

2011-01-01

29

Social Network Visualization in Epidemiology  

PubMed Central

Epidemiological investigations and interventions are increasingly focusing on social networks. Two aspects of social networks are relevant in this regard: the structure of networks and the function of networks. A better understanding of the processes that determine how networks form and how they operate with respect to the spread of behavior holds promise for improving public health. Visualizing social networks is a key to both research and interventions. Network images supplement statistical analyses and allow the identification of groups of people for targeting, the identification of central and peripheral individuals, and the clarification of the macro-structure of the network in a way that should affect public health interventions. People are inter-connected and so their health is inter-connected. Inter-personal health effects in social networks provide a new foundation for public health. PMID:22544996

Christakis, Nicholas A.; Fowler, James H.

2010-01-01

30

Social Network Visualization in Epidemiology.  

PubMed

Epidemiological investigations and interventions are increasingly focusing on social networks. Two aspects of social networks are relevant in this regard: the structure of networks and the function of networks. A better understanding of the processes that determine how networks form and how they operate with respect to the spread of behavior holds promise for improving public health. Visualizing social networks is a key to both research and interventions. Network images supplement statistical analyses and allow the identification of groups of people for targeting, the identification of central and peripheral individuals, and the clarification of the macro-structure of the network in a way that should affect public health interventions. People are inter-connected and so their health is inter-connected. Inter-personal health effects in social networks provide a new foundation for public health. PMID:22544996

Christakis, Nicholas A; Fowler, James H

2009-01-01

31

Nonparametric Relational Learning for Social Network Analysis  

E-print Network

Nonparametric Relational Learning for Social Network Analysis Zhao Xu Knowledge Discovery relational networks. Social network analysis has gained in importance due to the growing availability of data Statistical Relational Learning, Social Network Analysis, Non- parametric Mixture Models, Dirichlet Process

Tresp, Volker

32

From Social Network to Semantic Social Network in Recommender System  

E-print Network

Due the success of emerging Web 2.0, and different social network Web sites such as Amazon and movie lens, recommender systems are creating unprecedented opportunities to help people browsing the web when looking for relevant information, and making choices. Generally, these recommender systems are classified in three categories: content based, collaborative filtering, and hybrid based recommendation systems. Usually, these systems employ standard recommendation methods such as artificial neural networks, nearest neighbor, or Bayesian networks. However, these approaches are limited compared to methods based on web applications, such as social networks or semantic web. In this paper, we propose a novel approach for recommendation systems called semantic social recommendation systems that enhance the analysis of social networks exploiting the power of semantic social network analysis. Experiments on real-world data from Amazon examine the quality of our recommendation method as well as the performance of our re...

Sellami, Khaled; Tiako, Pierre

2014-01-01

33

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

34

Social Norms for Networked Communities  

E-print Network

Sustaining cooperation among self-interested agents is critical for the proliferation of emerging networked communities, such as the communities formed by social networking services. Providing incentives for cooperation in networked communities is particularly challenging because of their unique features: a large population of anonymous agents interacting infrequently, having asymmetric interests, and dynamically joining and leaving the community; network operation errors; and low-cost identity whitewashing. In this paper, taking these features into consideration, we propose a framework for the design and analysis of a class of incentive schemes based on social norms. We first define the concept of sustainable social norm under which no agent has an incentive to deviate. We then formulate the problem of designing an optimal social norm, which selects a social norm that maximizes overall social welfare among all sustainable social norms. Using the proposed framework, we study the structure of optimal social no...

Zhang, Yu; van der Schaar, Mihaela

2011-01-01

35

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 siteâs 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 siteâs 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 siteâs documents in a number of languages, including Spanish, French, Italian, and German.

Plous, Scott

1996-01-01

36

What Is Special About Social Network Analysis?  

Microsoft Academic Search

In a short introduction on social network analysis, the main characteristics of social network data as well as the main goals of social network analysis are described. An overview of statistical models for social network data is given, pointing at differences and similarities between the various model classes and introducing the most recent developments in social network modeling.

Marijtje A. J. van Duijn; Jeroen K. Vermunt

2006-01-01

37

Nonparametric Relational Learning for Social Network Analysis  

Microsoft Academic Search

Social networks usually involve rich collections of objects, which are jointly linked into complex relational networks. Social network analysis has gained in importance due to the growing availability of data on novel social networks, e.g. ci- tation networks, Web 2.0 social networks like facebook, and the hyperlinked internet. Recently, the inflnite hidden rela- tional model (IHRM) has been developed for

Zhao Xu; Volker Tresp; Shipeng Yu; Kai Yu

2008-01-01

38

How to Network in Online Social Networks  

E-print Network

In this paper, we consider how to maximize users' influence in Online Social Networks (OSNs) by exploiting social relationships only. Our first contribution is to extend to OSNs the model of Kempe et al. [1] on the propagation of information in a social network and to show that a greedy algorithm is a good approximation of the optimal algorithm that is NP-hard. However, the greedy algorithm requires global knowledge, which is hardly practical. Our second contribution is to show on simulations on the full Twitter social graph that simple and practical strategies perform close to the greedy algorithm.

Neglia, Giovanni; Gabielkov, Maksym; Legout, Arnaud

2014-01-01

39

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

40

Quantum social networks  

E-print Network

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

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

2011-12-03

41

Threats of Online Social Networks  

Microsoft Academic Search

Summary In the recent years, we have witnessed a dramatic rise in popularity of online social networking services, with several Social Network Sites (SNSs) such as Myspace, Facebook, Blogger, You Tube, Yahoo! Groups etc are now among the most visited websites globally. However, since such forums are relatively easy to access and the users are often not aware of the

Abdullah Al Hasib

2009-01-01

42

Social Network Analysis with sna  

Microsoft Academic Search

Modern social network analysis---the analysis of relational data arising from social systems---is a computationally intensive area of research. Here, we provide an overview of a software package which provides support for a range of network analytic functionality within the R statistical computing environment. General categories of currently supported functionality are described, and brief examples of package syntax and usage are

Carter T. Butts

2008-01-01

43

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

44

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

45

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."

46

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.\\"

2005-11-02

47

Signed Networks in Social Media  

E-print Network

Relations between users on social media sites often reflect a mixture of positive (friendly) and negative (antagonistic) interactions. In contrast to the bulk of research on social networks that has focused almost exclusively on positive interpretations of links between people, we study how the interplay between positive and negative relationships affects the structure of on-line social networks. We connect our analyses to theories of signed networks from social psychology. We find that the classical theory of structural balance tends to capture certain common patterns of interaction, but that it is also at odds with some of the fundamental phenomena we observe --- particularly related to the evolving, directed nature of these on-line networks. We then develop an alternate theory of status that better explains the observed edge signs and provides insights into the underlying social mechanisms. Our work provides one of the first large-scale evaluations of theories of signed networks using on-line datasets, as ...

Leskovec, Jure; Kleinberg, Jon

2010-01-01

48

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

49

ON SOCIAL NETWORK ANALYSIS IN A SUPPLY CHAIN CONTEXT  

Microsoft Academic Search

The network perspective is rapidly becoming a lingua franca across virtually all of the sciences from anthropology to physics. In this paper, we provide supply chain researchers with an overview of social network analysis, covering both specific concepts (such as structural holes or betweenness centrality) and the generic explanatory mechanisms that network theorists often invoke to relate network variables to

STEPHEN P. BORGATTI; XUN LI

2009-01-01

50

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

51

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

52

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

53

Applications of Bayesian Belief Networks in Social Network Analysis  

Microsoft Academic Search

In this paper, we discuss the use of Bayesian belief networks as a tool for enhancing social network analysis. Traditional social network analysis (SNA) primarily uses graph-theoretic algorithms to compute properties of nodes in a network. However, these algorithms assume a degree of completeness and reliability of the social network data, which cannot always be assured. Applying Bayesian belief networks

David Koelle; Jonathan Pfautz; Michael Farry; Zach Cox; Geoffrey Catto; Joseph Campolongo

54

Massive Social Network Analysis: Mining Twitter for Social Good  

E-print Network

Massive Social Network Analysis: Mining Twitter for Social Good David Ediger Karl Jiang Jason Riedy tools from graph theory, social network analysis, and scale-free networks [29]. However, the volume of thousands of interactions. These graphs are huge with respect to traditional social network analysis tools

Bader, David A.

55

Capturing Social Networking Privacy Preferences  

E-print Network

{rravicha,mbenisch,pkelley, sadeh}@cs.cmu.edu Abstract. Social networking sites such as Facebook and MySpace such as Facebook and MySpace thrive on the exchange of personal content such as pictures and activities

Sadeh, Norman M.

56

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

57

Information diffusion epidemics in social networks  

E-print Network

The dynamics of information dissemination in social networks is of paramount importance in processes such as rumors or fads propagation, spread of product innovations or "word-of-mouth" communications. Due to the difficulty in tracking a specific information when it is transmitted by people, most understanding of information spreading in social networks comes from models or indirect measurements. Here we present an integrated experimental and theoretical framework to understand and quantitatively predict how and when information spreads over social networks. Using data collected in Viral Marketing campaigns that reached over 31,000 individuals in eleven European markets, we show the large degree of variability of the participants' actions, despite them being confronted with the common task of receiving and forwarding the same piece of information. This have a profound effect on information diffusion: Firstly, most of the transmission takes place due to super-spreading events which would be considered extraord...

Iribarren, Jose Luis

2007-01-01

58

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

59

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.

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

2014-01-01

60

Social networks and vaccination decisions  

Microsoft Academic Search

We combine information on social networks with medical records and survey data in order to examine how friends affect ones decision to get vaccinated against the flu. The random assignment of undergraduates to residential halls at a large private university allows us to estimate how peer effects influence health beliefs and vaccination choices. Our results indicate that social exposure to

Neel Rao; Markus M. Mbius; Tanya Rosenblat

2007-01-01

61

Backbone Discovery in Social Networks  

Microsoft Academic Search

Recent years have seen a thriving development of the World Wide Web as the most visible social media which enables people to share opinions, experiences and expertise with each other across the world. People now get involved in many different social networks simultaneously, which are often large intricate web of connections among the massive entities they are made of. As

Nan Du; Bin Wu; Bai Wang

2007-01-01

62

Key allocation schemes for private social networks  

Microsoft Academic Search

In this paper we introduce a novel scheme for key management in social networks that is a first step towards the creation of a private social network. A social network graph (i.e., the graph of friendship relationships) is private and social networks are often used to share content, which may be private, amongst its users. In the status quo, the

Keith Byron Frikken; Preethi Srinivas

2009-01-01

63

Semantic Social Network Analysis Guillaume ERETEO  

E-print Network

Semantic Social Network Analysis Guillaume ERETEO Orange Labs Sophia Antipolis, 06921, France +334 +334 92 04 66 60 buffa@unice.fr Abstract: Social Network Analysis (SNA) tries to understand and exploit the analysis of online social networks, exploiting the power of semantic social network analysis. 1

Boyer, Edmond

64

Semantic Social Network Ph.D. thesis  

E-print Network

Semantic Social Network Analysis Ph.D. thesis Defended on the 11th of April 2011 by Guillaume, with an original contribution that leverages Social Network Analysis with Semantic Web frameworks. Social Network-based representations, (2) to conduct a social network analysis that takes advantage of the rich semantics

Boyer, Edmond

65

Online Identities and Social Networking  

Microsoft Academic Search

\\u000a Online identities play a critical role in the social web that is taking shape on the Internet. Despite many technical proposals\\u000a for creating and managing online identities, none has received widespread acceptance. Design and implementation of online\\u000a identities that are socially acceptable on the Internet remains an open problem. This chapter discusses the interplay between\\u000a online identities and social networking.

Muthucumaru Maheswaran; Bader Ali; Hatice Ozguven; Julien Lord

2010-01-01

66

Information Technology Capabilities for Digital Social Networks  

Microsoft Academic Search

This paper contributes to the evolving body of knowledge pertaining to the study of digitally-enabled social networks, their usage, and their effects on people, organization, and society. We review the literature on social networks and develop a typology which distinguishes four aspects of digital social networks usage: (i) building and sustaining the network, (ii) observing the network, (iii), extracting the

Camille Grange; Izak Benbasat

2009-01-01

67

Social Network Mining with Nonparametric Relational Models  

E-print Network

.rettinger@cs.tum.edu Abstract. Statistical relational learning (SRL) provides effective tech- niques to analyze social network), and social media websites (Last.fm). Social networks usu- ally consist of rich collections of objects, which in social network mining include community discovery, relationship prediction, social recommendation, etc

Tresp, Volker

68

Social Network Analysis Plugin (SNAP) for Mesh Networks  

E-print Network

Social Network Analysis Plugin (SNAP) for Mesh Networks Soumendra Nanda BAE Systems Burlington, MA on the Social Network Analysis (SNA) metric "betweenness centrality". We now introduce a new SNA metric are the most and least "important" in my network? Centrality is a concept often used in social network analysis

Kotz, David

69

Vaccines, Contagion, and Social Networks  

E-print Network

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

Ogburn, Elizabeth L

2014-01-01

70

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

71

Clinical Applications of Social Network Theory.  

ERIC Educational Resources Information Center

Introduces the social network paradigm for analysis of social relationships. In nine articles presents basic research and clinical applications for further exploration. Topics include social network intervention with adolescents, the mentally ill, elderly, and families of divorce. (JAC)

Pattison, E. Mansell, Ed.

1981-01-01

72

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: Social network analysis is a distinct approach to research that focuses on the structure of relationships with the guiding principles of social network analysis, and orient you toward thinking from a social network

Liu, Taosheng

73

Spinning Multiple Social Networks for Semantic Web  

Microsoft Academic Search

Social networks are important for the Semantic Web. Several means can be used to obtain social networks: using social networking services, aggregating Friend- of-a-Friend (FOAF) documents, mining text informa- tion on the Web or in e-mail messages, and observing face-to-face communication using sensors. Integrating multiple social networks is a key issue for further uti- lization of social networks in the

Yutaka Matsuo; Masahiro Hamasaki; Yoshiyuki Nakamura; Takuichi Nishimura; Kiti Hasida; Hideaki Takeda; Junichiro Mori; Danushka Bollegala; Mitsuru Ishizuka

2006-01-01

74

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

75

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

76

A graphical model for multi-relational social network analysis Mohammad Khoshneshin mkhosh@bgsu.edu  

E-print Network

A graphical model for multi-relational social network analysis Mohammad Khoshneshin mkhosh-relational social network analysis based on latent variable models. Latent vari- able models are one of the successful ap- proaches for social network analysis. These models assume a latent variable for each en- tity

Street, Nick

77

Masculinity, educational achievement and social status: a social network analysis  

Microsoft Academic Search

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 investment, and the influence network as a measure of status without emotion.

Dean Lusher

2011-01-01

78

Social networks, travel and talk.  

PubMed

This paper considers the role that physical, corporeal travel plays in social life. There is a large and increasing scale of such travel. This increase has occurred simultaneously with the proliferation of communication devices that in some ways substitute for physical travel. I hypothesize that the bases of such travel are new ways in which social life is 'networked'. Such increasingly extensive networks, hugely extended through the informational revolution, depend for their functioning upon intermittent occasioned meetings. These moments of physical co-presence and face-to-face conversation, are crucial to patterns of social life that occur 'at-a-distance', whether for business, leisure, family life, politics, pleasure or friendship. So life is networked but it also involves specific co-present encounters within specific times and places. 'Meetingness', and thus different forms and modes of travel, are central to much social life, a life involving strange combinations of increasing distance and intermittent co-presence. The paper seeks to examine the place of travel within the emergent pattern of a 'networked sociality'. It seeks to contribute to the emerging 'mobility turn' within the social sciences. PMID:12945865

Urry, John

2003-06-01

79

Towards Automating Social Engineering Using Social Networking Sites  

Microsoft Academic Search

A growing number of people use social networking sites to foster social relationships among each other. While the advantages of the provided services are obvious, drawbacks on a users' privacy and arising implications are often neglected. In this paper we introduce a novel attack called automated social engineering which illustrates how social networking sites can be used for social engineering.

Markus Huber; Stewart Kowalski; Marcus Nohlberg; Simon Tjoa

2009-01-01

80

Opinion fluctuations and disagreement in social networks  

E-print Network

We study a stochastic gossip model of continuous opinion dynamics in a society consisting of two types of agents: regular agents, who update their beliefs according to information that they receive from their social neighbors; and stubborn agents, who never update their opinions and might represent leaders, political parties or media sources attempting to influence the beliefs in the rest of the society. When the society contains stubborn agents with different opinions, opinion dynamics never lead to a consensus (among the regular agents). Instead, beliefs in the society almost surely fail to converge, and the belief of each regular agent converges in law to a non-degenerate random variable. The model thus generates long-run disagreement and continuous opinion fluctuations. The structure of the social network and the location of stubborn agents within it shape opinion dynamics. When the society is ``highly fluid'', meaning that the mixing time of the random walk on the graph describing the social network is s...

Acemoglu, Daron; Fagnani, Fabio; Ozdaglar, Asuman

2010-01-01

81

Information Evolution in Social Networks  

E-print Network

Social networks readily transmit information, albeit with less than perfect fidelity. We present a large-scale measurement of this imperfect information copying mechanism by examining the dissemination and evolution of thousands of memes, collectively replicated hundreds of millions of times in the online social network Facebook. The information undergoes an evolutionary process that exhibits several regularities. A meme's mutation rate characterizes the population distribution of its variants, in accordance with the Yule process. Variants further apart in the diffusion cascade have greater edit distance, as would be expected in an iterative, imperfect replication process. Some text sequences can confer a replicative advantage; these sequences are abundant and transfer "laterally" between different memes. Subpopulations of the social network can preferentially transmit a specific variant of a meme if the variant matches their beliefs or culture. Understanding the mechanism driving change in diffusing informat...

Adamic, Lada A; Adar, Eytan; Ng, Pauline C

2014-01-01

82

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. Clemenon, 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. Sznt, I. J. Tth 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. Kovcs, T. Nnsi, R. Palotai, . Rk, 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. Barabsi; Index.

Vedres, Balzs; Scotti, Marco

2012-08-01

83

Understanding Social Networks Properties for Trustworthy Computing  

Microsoft Academic Search

The ever-increasing popularity of social networks opens new directions for leveraging social networks to build primitives for security and communication, in many contexts. Such primitives utilize the trust in these social networks to ensure collaboration and algorithmic properties exhibited in such networks to argue for the effectiveness of such primitives. Despite the importance of such properties and their quality to

Abedelaziz Mohaisen; Huy Tran; Nicholas Hopper; Yongdae Kim

2011-01-01

84

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

85

Extended Identity for Social Networks  

NASA Astrophysics Data System (ADS)

Nowadays we are experiencing the consolidation of social networks (SN). Although there are trends trying to integrate SN platforms. they remain as data silos between each other. Information can't be exchanged between them. In some cases, it would be desirable to connect this scattered information, in order to build a distributed identity. This contribution proposes an architecture for distributed social networking. Based on distributed user-centric identity, our proposal extends it by attaching user information. It also bridges the gap between distributed identity and distributed publishing capabilities.

Tapiador, Antonio; Fumero, Antonio; Salvacha, Joaqun

86

Enhancing business networks using social network based virtual communities  

Microsoft Academic Search

Purpose To enhance an entrepreneur's business network through the integration of the social network concepts and design principles of virtual communities. Design\\/methodology\\/approach This study documents the design and initial deployment of a virtual community case, Innovation Information Infrastructure, based on social network concepts. Findings Basic design principles, deployment strategy, and future directions for social network-based virtual communities

Bih-ru Lea; Wen-bin Yu; Nisha Maguluru; Michael Nichols

2006-01-01

87

Skeleton of weighted social network  

NASA Astrophysics Data System (ADS)

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

Zhang, X.; Zhu, J.

2013-03-01

88

Animal social networks: an introduction  

Microsoft Academic Search

Network analysis has a long history in the mathematical and social sciences and the aim of this introduction is to provide\\u000a a brief overview of the potential that it holds for the study of animal behaviour. One of the most attractive features of\\u000a the network paradigm is that it provides a single conceptual framework with which we can study the

Jens Krause; David Lusseau; Richard James

2009-01-01

89

De-anonymizing Social Networks  

E-print Network

Operators of online social networks are increasingly sharing potentially sensitive information about users and their relationships with advertisers, application developers, and data-mining researchers. Privacy is typically protected by anonymization, i.e., removing names, addresses, etc. We present a framework for analyzing privacy and anonymity in social networks and develop a new re-identification algorithm targeting anonymized social-network graphs. To demonstrate its effectiveness on real-world networks, we show that a third of the users who can be verified to have accounts on both Twitter, a popular microblogging service, and Flickr, an online photo-sharing site, can be re-identified in the anonymous Twitter graph with only a 12% error rate. Our de-anonymization algorithm is based purely on the network topology, does not require creation of a large number of dummy "sybil" nodes, is robust to noise and all existing defenses, and works even when the overlap between the target network and the adversary's au...

Narayanan, Arvind

2009-01-01

90

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

91

Applications of Bayesian Belief Networks in Social Network Analysis David Koelle, Jonathan Pfautz, Michael Farry,  

E-print Network

Applications of Bayesian Belief Networks in Social Network Analysis David Koelle, Jonathan Pfautz as a tool for enhancing social network analysis. Traditional social network analysis (SNA) primarily uses. Applying Bayesian belief networks to social network analysis provides additional capabilities

Valtorta, Marco

92

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

93

Privacy in Online Social Networks  

Microsoft Academic Search

Social networking is the latest craze that has captured the attention of masses, people use them mainly to communicate with their real life friends, but these sites claim to be your virtual life on the internet where one could do most of the things they do in real life. Privacy is one issue that suddenly comes to mind when your

Ahmad Mushtaq

94

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

95

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

96

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

97

Social Structure of Facebook Networks  

E-print Network

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 the user characteristics. We thereby compare the relative importances 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 inve...

Traud, Amanda L; Porter, Mason A

2011-01-01

98

Social networking profile correlates of schizotypy.  

PubMed

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

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

2012-12-30

99

Online Social Network Sites and the Concept of Social Capital  

E-print Network

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

Steinfield, Charles

100

Social Networking: It's Not What You Think  

NASA Technical Reports Server (NTRS)

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

Jones, Kevin D.

2010-01-01

101

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

102

Understanding Social Networks Properties for Trustworthy Computing  

E-print Network

these properties and understand the relationship among them and to other characteristics of social networks. We for the effectiveness of applications built on top of the social network. While most applications and primitives builtUnderstanding Social Networks Properties for Trustworthy Computing Abedelaziz Mohaisen, Huy Tran

Kim, Dae-Shik

103

Privacy in Online Social Networking at Workplace  

Microsoft Academic Search

AbstractEmployees 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

104

The complex structure of huntergatherer social networks  

E-print Network

The complex structure of hunter­gatherer social networks Marcus J. Hamilton1,*, Bruce T. Milne2 behind the formation of many complex systems in nature. Keywords: hunter-gatherers; social networks; self hypothesized that this scaling relation results from the complex structure of underlying social networks, which

Brown, James H.

105

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

106

Threshold behavior of incentives in social networks  

Microsoft Academic Search

The advent of large scale online social networks has resulted in a spurt of studies on the user participation in the networks. We consider a query incentive model on social networks, where user's queries are answered through her friendship network and there are `rewards' or `incentives' in the system to answer the queries utilizing ones community. We model the friendship

Nagaraj Kota; Y. Narahari

2010-01-01

107

Stories and Social Networks Warren Sack  

E-print Network

Stories and Social Networks Warren Sack MIT Media Laboratory 20 Ames Street, E15-020b Cambridge, MA 02139 wsack@media.mit.edu Abstract A computational, social network-based approach to story understanding important about stories? The Internet has engendered a myriad of new social relations. These social

Sengers, Phoebe

108

Network Analysis in the Social Sciences  

Microsoft Academic Search

Over the last decade, there has been an explosion of interest in network research across the physical and social sciences. For social scientists, the theory of networks has been a goldmine, yielding explanations for social phenomena in a wide variety of disciplines from psychology to economics. In this essay, we review the kinds of things that social scientists have tried

Stephen P. Borgatti; Ajay Mehra; Daniel J. Brass; Giuseppe Labianca

2009-01-01

109

Social Network Collaborative Filtering: Preliminary Results  

Microsoft Academic Search

This paper reports on a preliminary empirical study comparing methods for collaborative filtering (CF) using explicit consumers' social networks. As user-generated social networks become increasingly important and visible in technology-mediated consumer interactions, we can begin to ask how the rich associated information can be used to improve inference. Theories from social psychology have long discussed that social relationships are likely

Rong Zheng; Anindya Ghose

2007-01-01

110

Early Adolescent Social Networks and Substance Use  

ERIC Educational Resources Information Center

This study examined the relationships between social network position and the use of tobacco, alcohol, marijuana, and inhalants in a sample of 1,119 sixth-grade youth. Social network analyses of peer nominations were used to categorize youth as "members" of social groups, "liaisons" between groups, or social "isolates." The results revealed that

Henry, David B.; Kobus, Kimberly

2007-01-01

111

The network structure of social capital  

Microsoft Academic Search

This is a review of argument and evidence on the connection between social networks and social capital. My summary points are three: (1) Research and theory will better cumulate across studies if we focus on the network mechanisms responsible for social capital effects rather than trying to integrate across metaphors of social capital loosely tied to distant empirical indicators. (2)

Ronald S. Burt

2000-01-01

112

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

113

Ontology Extraction using Social Network  

Microsoft Academic Search

This paper proposes integration of a social network with the tripartite model of ontologies by P. Mika. That model is based on three dimensions, i.e. ac- tors, concepts and instances, and illustrates ontol- ogy emergence using actor-concept and concept- instance relations. However, another important in- gredient is the actor-actor relation. For example, a vocabulary is sometimes shared within a commu-

Masahiro Hamasaki; Yutaka Matsuo; Takuichi Nishimura; Hideaki Takeda

2005-01-01

114

Software for Social Network Analysis  

Microsoft Academic Search

This chapter gives a state-of-the art overview of available (free and commer- cial) software for social network analysis as of fall 2003. It reviews and compares six programs, illustrating their functionality with example data. Data manipu- lation options and available support are also discussed. Furthermore, seventeen other, of which nine special-purpose, software packages and ve software rou- tine packages for

Mark Huisman

115

Bayesian Networks for Social Modeling  

Microsoft Academic Search

\\u000a This paper describes a body of work developed over the past five years. The work addresses the use of Bayesian network (BN)\\u000a models for representing and predicting social\\/organizational behaviors. The topics covered include model construction, validation,\\u000a and use. These topics show the bulk of the lifetime of such model, beginning with construction, moving to validation and other\\u000a aspects of model

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

2011-01-01

116

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

117

Social network determinants of depression.  

PubMed

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

Rosenquist, J N; Fowler, J H; Christakis, N A

2011-03-01

118

Social network determinants of depression  

PubMed Central

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

Rosenquist, JN; Fowler, JH; Christakis, NA

2013-01-01

119

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

120

Community Structure in Online Collegiate Social Networks  

Microsoft Academic Search

Online social networking sites have become increasingly popular with college students. The networks we studied are defined through ``friendships'' indicated by Facebook users from UNC, Oklahoma, Caltech, Georgetown, and Princeton. We apply the tools of network science to study the Facebook networks from these five different universities at a single point in time. We investigate each single-institution network's community structure,

AMANDA L. TRAUD; ERIC D. KELSIC; PETER J. MUCHA; MASON A. PORTER

2009-01-01

121

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

122

Complex Networks and Social Networks Anthony Bonato and Amanda Tian  

E-print Network

Complex Networks and Social Networks Anthony Bonato and Amanda Tian 1 Introduction Complex networks theoretical understanding of random graphs. Models for complex networks also give insight into the underlying generative prop- erties of complex networks, and can serve as a predictive tool in their evolution

Bonato, Anthony

123

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

E-print Network

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

Iftode, Liviu

124

Complex social contagion makes networks more vulnerable to disease outbreaks  

PubMed Central

Social network analysis is now widely used to investigate the dynamics of infectious disease spread. Vaccination dramatically disrupts disease transmission on a contact network, and indeed, high vaccination rates can potentially halt disease transmission altogether. Here, we build on mounting evidence that health behaviors - such as vaccination, and refusal thereof - can spread across social networks through a process of complex contagion that requires social reinforcement. Using network simulations that model health behavior and infectious disease spread, we find that under otherwise identical conditions, the process by which the health behavior spreads has a very strong effect on disease outbreak dynamics. This dynamic variability results from differences in the topology within susceptible communities that arise during the health behavior spreading process, which in turn depends on the topology of the overall social network. Our findings point to the importance of health behavior spread in predicting and controlling disease outbreaks. PMID:23712758

Campbell, Ellsworth; Salathe, Marcel

2013-01-01

125

Social Insects: A Model System for Network Dynamics  

NASA Astrophysics Data System (ADS)

Social insect colonies (ants, bees, wasps, and termites) show sophisticated collective problem-solving in the face of variable constraints. Individuals exchange information and materials such as food. The resulting network structure and dynamics can inform us about the mechanisms by which the insects achieve particular collective behaviors and these can be transposed to man-made and social networks. We discuss how network analysis can answer important questions about social insects, such as how effective task allocation or information flow is realized. We put forward the idea that network analysis methods are under-utilized in social insect research, and that they can provide novel ways to view the complexity of collective behavior, particularly if network dynamics are taken into account. To illustrate this, we present an example of network tasks performed by ant workers, linked by instances of workers switching from one task to another. We show how temporal network analysis can propose and test new hypotheses on mechanisms of task allocation, and how adding temporal elements to static networks can drastically change results. We discuss the benefits of using social insects as models for complex systems in general. There are multiple opportunities emergent technologies and analysis methods in facilitating research on social insect network. The potential for interdisciplinary work could significantly advance diverse fields such as behavioral ecology, computer sciences, and engineering.

Charbonneau, Daniel; Blonder, Benjamin; Dornhaus, Anna

126

Mining hidden community in heterogeneous social networks  

Microsoft Academic Search

Social network analysis has attracted much attention in recent years. Community mining is one of the major directions in social network analysis. Most of the existing methods on community mining assume that there is only one kind of relation in the network, and moreover, the mining results are independent of the users' needs or preferences. However, in reality, there exist

Deng Cai; Zheng Shao; Xiaofei He; Xifeng Yan; Jiawei Han

2005-01-01

127

Social Language Network Analysis Andrew J. Scholand  

E-print Network

for analysis of the causes and consequences of these relationships. Social network analysis has been, researchers have used network analysis to study the effect of relationships on performance in both academic [1Social Language Network Analysis Andrew J. Scholand Sandia National Laboratories Box 5800

Mankoff, Jennifer

128

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

129

A Computer Network for Social Scientists.  

ERIC Educational Resources Information Center

Describes a microcomputer-based network developed at the University of California Los Angeles to support education in the social sciences. Topics discussed include technological, managerial, and academic considerations of university networking; the use of the network in teaching macroeconomics, social demographics, and symbolic logic; and possible

Gerber, Barry

1989-01-01

130

Boosting social network connectivity with link revival  

Microsoft Academic Search

Online social networking platforms have become a popular channel of communications among people. However, most people can only keep in touch with a limited number of friends. This phenomenon results in a low-connectivity social network in terms of communications, which is inefficient for information propagation and social engagement. In this paper, we introduce a new recommendation service, called link revival,

Yuan Tian; Qi He; Qiankun Zhao; Xingjie Liu; Wang-chien Lee

2010-01-01

131

Characterizing User Behavior in Online Social Networks  

Microsoft Academic Search

Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved design of content distribution systems. In this paper, we present a rst of a kind analysis of user workloads in on- line social networks. Our study is based on detailed click- stream data, collected over a

Fabrcio Benevenuto; Tiago Rodrigues; Meeyoung Ch; Virglio Almeida

132

Characterizing user behavior in online social networks  

Microsoft Academic Search

ABSTRACT Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved design of content distribution systems. In this paper, we present a,rst of a kind analysis of user workloads in on- line social networks. Our study is based on detailed click- stream data, collected over a

Fabrcio Benevenuto; Tiago Rodrigues; Meeyoung Cha; Virglio A. F. Almeida

2009-01-01

133

Social Network for Elderly Simen Kind Gulbrandsen  

E-print Network

Social Network for Elderly Simen Kind Gulbrandsen , Eirik Fikkan , Emil Grunt , Kjetil MehlMagnus.Mathisen@sintef.no, akof@sintef.no Abstract: Elderly's health is closely related to their level of social activity. Main. The work presented here demonstrates a design and implementation of a social network system for elderly

Langseth, Helge

134

Expert Recommendation based on Social Drivers, Social Network Analysis, and Semantic Data Representation  

E-print Network

Expert Recommendation based on Social Drivers, Social Network Analysis, and Semantic Data computational techniques from social network analysis and representational techniques from the semantic web, personalized search, social network analysis, semantic web, social drivers, multi-theoretical multi

Fox, Mark S.

135

Electronic Communication Systems and Social Networking Employee Social Media Policy  

E-print Network

Electronic 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/or bullying apply to content posted online. Violating any University policy while using social media could

Dasgupta, Dipankar

136

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

137

Privacy engineering for social networks  

E-print Network

; an API for interacting with web pages DRM digital rights management; a set of techniques for preventing users from copying content (e.g. games, music, videos) DSL digital subscriber line; a technology for home Internet service DTN delay tolerant network... effectively direct the flow of their private in- formation according to their own social and economic choices. 2 A SOCIO-TECHNICAL PROBLEM 1.1 A SOCIO-TECHNICAL PROBLEM Theres no technical solution for gossip. Matthew Ringel, LiveJournal user, 2003 [352...

Anderson, Jonathan

2013-01-08

138

Understanding Graph Sampling Algorithms for Social Network Analysis  

E-print Network

Understanding Graph Sampling Algorithms for Social Network Analysis Tianyi Wang1, Yang Chen2 graph, graph sampling provides an efficient, yet inexpensive solution for social network analysis for social network analysis including user behavior measurements [11], social interaction characterization [4

Zhou, Yuanyuan

139

Social Networks and Social Influences in Adolescence.  

ERIC Educational Resources Information Center

Young people are concerned with making and keeping friends, and they invest a great deal of energy in group social life to do so. This book charts the interactions of young people both in and out of school and the role of peers and friends in strengthening social attachments and in establishing social identities. It describes how social identities

Cotterell, John

140

Challenges for Mobile Social Networking Applications  

Microsoft Academic Search

This paper presents work in progress regarding utilization of social network information for mobile applications. Primarily\\u000a a number of challenges are identified, such as how to mine data from multiple social networks, how to integrate and consolidate\\u000a social networks, and how to manage semantic information for mobile applications. The challenges are discussed from a semantic\\u000a Web perspective using a driving

Juwel Rana; Johan Kristiansson; Josef Hallberg; Kre Synnes

2009-01-01

141

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

142

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

143

Privacy-Preserving Collaborative Social Networks  

Microsoft Academic Search

A social network is the mapping and measuring of relationships and flows between individuals, groups, organizations, computers,\\u000a web sites, and other information\\/knowledge processing entities. The nodes in the network are the people and groups, while\\u000a the links show relationships or flows between the nodes. Social networks provide both a visual and a mathematical model for\\u000a analyzing of relationships. While social

Justin Zhan; Gary Blosser; Chris Yang; Lisa Singh

2008-01-01

144

Essays on social networks in development economics  

E-print Network

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

Chandrasekhar, Arun Gautham

2012-01-01

145

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

146

Opinion Dynamics and Learning in Social Networks  

E-print Network

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

Acemoglu, Daron

2012-08-30

147

Spatially Distributed Social Complex Networks  

NASA Astrophysics Data System (ADS)

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

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

2014-01-01

148

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

149

Detecting Changes in a Dynamic Social Network  

E-print Network

Detecting Changes in a Dynamic Social Network Ian McCulloh March 31, 2009 CMU-ISR-09-104 Institute network analysis, statistical process control, longitudinal network analysis, change detection, network, the spread of diseases, among other applications. Detecting dynamic changes over time from an SNA perspective

Sadeh, Norman M.

150

Evolving spiking networks with variable resistive memories.  

PubMed

Neuromorphic computing is a brainlike information processing paradigm that requires adaptive learning mechanisms. A spiking neuro-evolutionary system is used for this purpose; plastic resistive memories are implemented as synapses in spiking neural networks. The evolutionary design process exploits parameter self-adaptation and allows the topology and synaptic weights to be evolved for each network in an autonomous manner. Variable resistive memories are the focus of this research; each synapse has its own conductance profile which modifies the plastic behaviour of the device and may be altered during evolution. These variable resistive networks are evaluated on a noisy robotic dynamic-reward scenario against two static resistive memories and a system containing standard connections only. The results indicate that the extra behavioural degrees of freedom available to the networks incorporating variable resistive memories enable them to outperform the comparative synapse types. PMID:23614774

Howard, Gerard; Bull, Larry; de Lacy Costello, Ben; Gale, Ella; Adamatzky, Andrew

2014-01-01

151

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

E-print Network

controls * Would you be willing to allow a greater government oversight of private online contentSocial 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

Kaiser, Gail E.

152

Friendship Prediction in Composite Social Networks  

E-print Network

Friendship prediction is an important task in social network analysis (SNA). It can help users identify friends and improve their level of activity. Most previous approaches predict users' friendship based on their historical records, such as their existing friendship, social interactions, etc. However, in reality, most users have limited friends in a single network, and the data can be very sparse. The sparsity problem causes existing methods to overfit the rare observations and suffer from serious performance degradation. This is particularly true when a new social network just starts to form. We observe that many of today's social networks are composite in nature, where people are often engaged in multiple networks. In addition, users' friendships are always correlated, for example, they are both friends on Facebook and Google+. Thus, by considering those overlapping users as the bridge, the friendship knowledge in other networks can help predict their friendships in the current network. This can be achiev...

Zhong, Erheng; Fan, Wei; Liu, Nathan Nan; Yang, Qiang

2014-01-01

153

A comparative study of social network analysis tools  

E-print Network

1 A comparative study of social network analysis tools David Combe1 , Christine Largeron1, Elod need for social network mining and social network analysis (SNA) methods and tools in order to provide of these tools which implement algorithms dedicated to social network analysis. Keywords: Social Network Analysis

Paris-Sud XI, Université de

154

Set Pair Social Network Analysis Model and Information Mining  

NASA Astrophysics Data System (ADS)

In this paper, finding that there was uncertainty existed in the incidence relationship of individuals by analyzed social networks theory. This paper constructed a set pair social network analysis model based on uncertainty of the social network to better learning social network relationship. This simple social network analysis model was applied in a relationship of friend to discover who is most significant.

Chunying, Zhang; Ruitao, Liang; Lu, Liu

155

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

156

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

157

Social Integration in Youth: Insights From a Social Network Perspective  

Microsoft Academic Search

Research repeatedly demonstrates the detrimental consequences of social isolation, but little is known of why adolescents lack social integration. Therefore, the present study uses social network analyses to take a unique look at adolescents' degree of integration. A total of 317 seventh through ninth graders (13.7 years, 162 girls) out of 18 classes reported friendship patterns and their respective class

Ralf Wlfer; Heike D. Bull; Herbert Scheithauer

2012-01-01

158

Online Games, Virtual Worlds, and Social Networks  

E-print Network

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

Hemmers, Oliver

159

Social Network Discovery Based on Sensitivity Analysis  

Microsoft Academic Search

This paper presents a novel methodology for social network discovery based on the sensitivity coefficients of impor- tance metrics, namely the Markov centrality of a node, a metric based on random walks. Analogous to node importance, which ranks the important nodes in a social network, the sensitivity analysis of this metric provides a ranking of the relationships between nodes. The

Tarik Crnovrsanin; Carlos D. Correa; Kwan-Liu Ma

2009-01-01

160

Revisiting link privacy in social networks  

Microsoft Academic Search

In this paper, we revisit the problem of the link privacy attack in online social networks. In the link privacy attack, it turns out that by bribing or compromising a small number of nodes (users) in the social network graph, it is possible to obtain complete link information for a much larger fraction of other non-bribed nodes in the graph.

Suhendry Effendy; Roland H. C. Yap; Felix Halim

2012-01-01

161

THE INTERNET, SOCIAL NETWORKS AND LONELINESS  

Microsoft Academic Search

Data Available) As the Internet has rapidly become a mainstream medium, some studies have found that Internet use is associated with reduced social networks and increased loneliness, whereas other research has suggested virtually the opposite. Still other studies have found no associations at all between Internet use, social networks and level of loneliness. Some authors who have found that the

JEAN-FRANCOIS COGET; YUTAKA YAMAUCHI; MICHAEL SUMAN

2002-01-01

162

Happiness is assortative in online social networks.  

PubMed

Online social networking communities may exhibit highly complex and adaptive collective behaviors. Since emotions play such an important role in human decision making, how online networks modulate human collective mood states has become a matter of considerable interest. In spite of the increasing societal importance of online social networks, it is unknown whether assortative mixing of psychological states takes place in situations where social ties are mediated solely by online networking services in the absence of physical contact. Here, we show that the general happiness, or subjective well-being (SWB), of Twitter users, as measured from a 6-month record of their individual tweets, is indeed assortative across the Twitter social network. Our results imply that online social networks may be equally subject to the social mechanisms that cause assortative mixing in real social networks and that such assortative mixing takes place at the level of SWB. Given the increasing prevalence of online social networks, their propensity to connect users with similar levels of SWB may be an important factor in how positive and negative sentiments are maintained and spread through human society. Future research may focus on how event-specific mood states can propagate and influence user behavior in "real life." PMID:21554117

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

2011-01-01

163

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

164

Finding Experts Using Social Network Analysis  

Microsoft Academic Search

Searching an organization's document repositories for experts is a frequently occurred problem in intranet information management. A common method for finding experts in an organization is to use social networks - people are not isolated but connected by various kinds of associations. In organizations, people explicitly send email to one another thus social networks are likely to be contained in

Yupeng Fu; Rongjing Xiang; Yiqun Liu; Min Zhang; Shaoping Ma

2007-01-01

165

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

166

Implementation of a Focused Social Networking Crawler  

Microsoft Academic Search

Social networking sites are becoming more and more popular and thus there is increased value in attacking and exploiting them. The amount of users on them is attractive in terms of the information they make available. We implement a focused social networking crawler on the popular site, Facebook, in order to exploit user profile information and identify aspects of computer

Alice Leung; Roven Lin; Jesse Ng; Philip Szeto

167

The Dynamics of ABE Social Networks.  

ERIC Educational Resources Information Center

To shed light on reciprocal social networks for adult literacy learners, an ethnographic study sought to understand the dynamics of social networks from a sociocultural perspective, that of the adult basic education learners themselves. Subjects were a diverse population of six adult learners at a suburban adult education center (five working to

Peck, Jacqueline K.

168

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

169

Lockr: better privacy for social networks  

Microsoft Academic Search

Today's online social networking (OSN) sites do little to pro- tect the privacy of their users' social networking information. Given the highly sensitive nature of the information these sites store, it is understandable that many users feel victim- ized and disempowered by OSN providers' terms of service. This paper presents Lockr, a system that improves the pri- vacy of centralized

Amin Tootoonchian; Stefan Saroiu; Yashar Ganjali; Alec Wolman

2009-01-01

170

Privacy wizards for social networking sites  

Microsoft Academic Search

Privacy is an enormous problem in online social networking sites. While sites such as Facebook allow users fine-grained control over who can see their profiles, it is difficult for average users to specify this kind of detailed policy. In this paper, we propose a template for the design of a social networking privacy wizard. The intuition for the design comes

Lujun Fang; Kristen LeFevre

2010-01-01

171

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

172

Predicting Network Response Times Using Social Information  

Microsoft Academic Search

Social networks and discussion boards have become a significant outlet where people communicate and express their opinion freely. Although the social networks themselves are usually well-provisioned, the participating users frequently point to external links to substantiate their discussions. Unfortunately, the sudden heavy traffic load imposed on the external, linked web sites causes them to become unresponsive leading to the \\

Chen Liang; Sharath Hiremagalore; Angelos Stavrou; Huzefa Rangwala

2011-01-01

173

Minority Traders in Thai Village Social Networks.  

ERIC Educational Resources Information Center

Examines social networks in three villages in rural Thailand. Demonstrates that Mon (merchant group) villagers, despite their cultural similarity to other Thais, are less strongly linked into the networks of villagers in which they trade. Suggests that ethnicity provides a vehicle for social distance which is beneficial for commerce. (Author/GC)

Foster, Brian L.

1980-01-01

174

Entrepreneurial Idea Identification through Online Social Networks  

ERIC Educational Resources Information Center

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

Lang, Matthew C.

2010-01-01

175

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

176

Exclusion and Cooperation in Social Network Experiments  

Microsoft Academic Search

This study examines the evolution of social networks within groups of six subjects playing a prisoners dilemma game. In each round subjects cannot discriminate in their action choice but can exclude others from their social environment. Four treatments are considered, varying the cost of exclusion and the information flow through the network. Observed cooperation levels strongly depend on the treat-

Arno Riedl; Aljaz Ule

177

Using social networks to harvest email addresses  

Microsoft Academic Search

Social networking is one of the most popular Internet activities with millions of members from around the world. However, users are unaware of the privacy risks involved. Even if they protect their private information, their name is enough to be used for malicious purposes. In this paper we demonstrate and evaluate how names extracted from social networks can be used

Iasonas Polakis; Georgios Kontaxis; Spiros Antonatos; Eleni Gessiou; Thanasis Petsas; Evangelos P. Markatos

2010-01-01

178

Audience Segregation in Social Network Sites  

Microsoft Academic Search

In recent years research has shown that most social network sites pose serious privacy and security risks for individual users. From the existing analyses of privacy and security risks in social network sites we deduce that one of the biggest categories of privacy risks revolves around the notion of `audience segregation', i.e. the partitioning of different audiences and the compartmentalization

Bibi van den Berg; Ronald Leenes

2010-01-01

179

College Students' Social Networking Experiences on Facebook  

ERIC Educational Resources Information Center

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

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

2009-01-01

180

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

181

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

182

Measuring Prestige in Online Social Networks  

E-print Network

We study the locally-defined social capital metric of Palasek (2013) for determining individuals' prestige within an online social network. From it we derive an equivalent global measure by considering random walks over the network itself. This result inspires a novel expression quantifying the strategic desirability of a potential social connection. We show in silico that ideal social neighbors tend to satisfy a "big fish in a small pond" criterion and that the distribution of neighbor-desirability throughout a network is governed by anti-homophily.

Palasek, Stan

2014-01-01

183

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

184

Narcissism and social networking Web sites.  

PubMed

The present research examined how narcissism is manifested on a social networking Web site (i.e., Facebook.com). Narcissistic personality self-reports were collected from social networking Web page owners. Then their Web pages were coded for both objective and subjective content features. Finally, strangers viewed the Web pages and rated their impression of the owner on agentic traits, communal traits, and narcissism. Narcissism predicted (a) higher levels of social activity in the online community and (b) more self-promoting content in several aspects of the social networking Web pages. Strangers who viewed the Web pages judged more narcissistic Web page owners to be more narcissistic. Finally, mediational analyses revealed several Web page content features that were influential in raters' narcissistic impressions of the owners, including quantity of social interaction, main photo self-promotion, and main photo attractiveness. Implications of the expression of narcissism in social networking communities are discussed. PMID:18599659

Buffardi, Laura E; Campbell, W Keith

2008-10-01

185

Location Privacy Protection on Social Networks  

Microsoft Academic Search

\\u000a Location information is considered as private in many scenarios. Protecting location information on mobile ad-hoc networks\\u000a has attracted much research in past years. However, location information protection on social networks has not been paid much\\u000a attention. In this paper, we present a novel location privacy protection approach on the basis of user messages in social\\u000a networks. Our approach grants flexibility

Justin Zhan; Xing Fang

2011-01-01

186

Topics in social network analysis and network science  

E-print Network

This chapter introduces statistical methods used in the analysis of social networks and in the rapidly evolving parallel-field of network science. Although several instances of social network analysis in health services research have appeared recently, the majority involve only the most basic methods and thus scratch the surface of what might be accomplished. Cutting-edge methods using relevant examples and illustrations in health services research are provided.

O'Malley, A James

2014-01-01

187

How Do Social Networks Affect Organizational Knowledge Utilization? David Dekker  

E-print Network

the effect of different social network measures (relationships among people) on task assignment the effect of different social network measures (relationships among people) on task assignmentHow Do Social Networks Affect Organizational Knowledge Utilization? David Dekker University

Sadeh, Norman M.

188

Clustered Embedding of Massive Social Networks Han Hee Song  

E-print Network

real-world social network datasets: Flickr, LiveJournal, and My- Space with up to 2 million nodes Motivation. Social networks have gained tremendous popularity recently. Social networking sites, such as MySpace

Ghosh, Joydeep

189

ONLINE SOCIAL NETWORK ANALYTICS Course Syllabus  

E-print Network

of the opportunities, challenges and threats arising by online social media as far as businesses and the society in a World Transformed by Social Technologies: Harvard Business Press. Papers Albert, R., Jeong, H conference on World Wide Web, Lyon, France. Cardoso, G., & Lamy, C. (2011). Social Networks: Communication

190

(Social) networking is coming Are we ready?  

Microsoft Academic Search

Social networking and media have become a part of everyday life. The phenomenon itself reflects people's need people to be connected, to share, to be members of communities, and to collaborate. Current social media support social interaction and use scalable web-based technologies to implement interactive dialogues. The key role is played by Internet-based applications that provide access to the services

Hannu Jaakkola; Petri Linna; Jaak Henno; Jukka Makela

2011-01-01

191

Supported Employment: A Route to Social Networks  

ERIC Educational Resources Information Center

Background: Evidence suggests that social networks mediate social functioning, self-esteem, mental health and quality of life. This paper presents findings concerning changes in the social lives, skills, behaviour and life experiences of a group of people with intellectual disabilities (n = 18), who gained support from an employment agency to find

Forrester-Jones, Rachel; Jones, Samantha; Heason, Sophie; Di'Terlizzi, Michele

2004-01-01

192

Understanding latent interactions in online social networks  

Microsoft Academic Search

Popular online social networks (OSNs) like Facebook and Twitter are changing the way users communicate and interact with the Internet. A deep understanding of user interactions in OSNs can provide important insights into questions of human social behavior, and into the design of social platforms and applications. However, recent studies have shown that a majority of user interactions on OSNs

Jing Jiang; Christo Wilson; Xiao Wang; Peng Huang; Wenpeng Sha; Yafei Dai; Ben Y. Zhao

2010-01-01

193

Informal Learning and Identity Formation in Online Social Networks  

ERIC Educational Resources Information Center

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

Greenhow, Christine; Robelia, Beth

2009-01-01

194

Dynamic Social Network Analysis using Latent Space Models  

E-print Network

Dynamic Social Network Analysis using Latent Space Models Purnamrita Sarkar, Andrew W. Moore Center. INTRODUCTION Social network analysis is becoming increasingly important in many fields besides sociology

Gordon, Geoffrey J.

195

Extracting a Social Network among Entities by Web mining  

Microsoft Academic Search

Social networks play an important role in the Semantic Web. Several methods exist to extract social networks among people such as FOAF aggregation, email analysis, and Web mining. In this paper, we expand the existing techniques for social network mining from the Web and apply them to obtain a social network for different entities. Espe- cially, two types of networks

YingZi Jin; Yutaka Matsuo; Mitsuru Ishizuka

196

Social Network Analysis for Contact Tracing  

Microsoft Academic Search

\\u000a Contact tracing is an important control measure in the fight against infectious disease. Healthcare workers deduce potential\\u000a disease pathways and propose corresponding containment strategies from collecting and reviewing patients contact history.\\u000a Social Network Analysis (SNA) provides healthcare workers with a network approach for integrating and analyzing all collected\\u000a contact records via a simple network graph, called a contact network. Through

Yi-Da Chen; Hsinchun Chen; Chwan-Chuen King

197

Massive Social Network Analysis: Mining Twitter for Social Good  

Microsoft Academic Search

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 Toolkit for massive graphs representing social network data. On a 128-processor Cray XMT, GraphCT estimates the

David Ediger; Karl Jiang; Jason Riedy; David A. Bader; Courtney D. Corley; Robert M. Farber; William N. Reynolds

2010-01-01

198

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

199

Women's social networks and birth attendant decisions: application of the network-episode model.  

PubMed

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

2012-02-01

200

Evolution in Social Networks: A Survey  

NASA Astrophysics Data System (ADS)

There is much research on social network analysis but only recently did scholars turn their attention to the volatility of social networks. An abundance of questions emerged. How does a social network evolve - can we find laws and derive models that explain its evolution? How do communities emerge in a social network and how do they expand or shrink? What is a community in an evolving network - can we claim that two communities seen at two distinct timepoints are the same one, even if they have next to no members in common? Research advances have different perspectives: some scholars focus on how evolution manifests itself in a social network, while others investigate how individual communities evolve as new members join and old ones become inactive. There are methods for discovering communities and capturing their changes in time, and methods that consider a community as a smoothly evolving constellation and thus build and adapt models upon that premise. This survey organizes advances on evolution in social networks into a common framework and gives an overview of these different perspectives.

Spiliopoulou, Myra

201

Social networks and social integration panel1 A longitudinal survey  

E-print Network

adult life, starting work and developing social networks Hypotheses, development of the survey on the Integration of Young People ­ Ministry of Employment and Solidarity, the Lower Normandy Regional Department not really have the extended meaning of the French term, which encompasses the development of personal social

Paris-Sud XI, Université de

202

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

203

Social network activity and social well-being  

Microsoft Academic Search

Previous research has shown a relationship between use of social networking sites and feelings of social capital. However, most studies have relied on self-reports by college students. The goals of the current study are to (1) validate the common self-report scale using empirical data from Facebook, (2) test whether previous findings generalize to older and international populations, and (3) delve

Moira Burke; Cameron Marlow; Thomas M. Lento

2010-01-01

204

The Social Strategy Game Resource Competition within Female Social Networks  

E-print Network

. Women take fewer beads from desired friends, neighbors, and from those viewed as enemies. We interpret with members of their social network and with those who were designated as cooperative helpers or as close kin favoritism toward enemies as resulting from fear of retribution. Our results suggest that social relations

Gurven, Michael

205

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

206

Social networking policies in nursing education.  

PubMed

Social networking use has increased exponentially in the past few years. A literature review related to social networking and nursing revealed a research gap between nursing practice and education. Although there was information available on the appropriate use of social networking sites, there was limited research on the use of social networking policies within nursing education. The purpose of this study was to identify current use of social media by faculty and students and a need for policies within nursing education at one institution. A survey was developed and administered to nursing students (n = 273) and nursing faculty (n = 33). Inferential statistics included ?, Fisher exact test, t test, and General Linear Model. Cronbach's ? was used to assess internal consistency of social media scales. The ? result indicates that there were associations with the group and several social media items. t Test results indicate significant differences between student and faculty for average of policies are good (P = .0127), policies and discipline (P = .0315), and policy at the study school (P = .0013). General Linear Model analyses revealed significant differences for "friend" a patient with a bond, unprofessional posts, policy, and nursing with class level. Results showed that students and faculty supported the development of a social networking policy. PMID:24406310

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

2014-03-01

207

Social networks in improvement of health care.  

PubMed

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

208

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

209

SNIF: Social Networking In Fur Jonathan Gips  

E-print Network

might not otherwise have. In this way, pets function as active icebreakers that will go up to anyone is a convenient ice-breaker. Eagle and Pentland aim to stimulate social interaction by networking through common

210

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

211

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

212

Detecting Spammers on Social Networks Gianluca Stringhini  

E-print Network

social network platforms (such as Face- book, MySpace, or Twitter), storing and sharing a wealth to keep track and com- municate with their friends online. Sites such as Facebook, MySpace, and Twitter

California at Santa Barbara, University of

213

FOR A SOCIAL NETWORK ANALYSIS OF COMPUTER NETWORKS  

Microsoft Academic Search

ABSTRACT When computer networks link people as well as machines, they,become,social,networks.,Social network,analysis provides,a useful approach,to moving,beyond,the concept of group in studying,virtual communities,and computer supported,cooperative,work,and telework. Such computer supported social networks (CSSNS) sustain strong, inter- mediate,and weak,ties that provide,information,and social support,in both,specialized,and,broadly-based,relation- ships. They foster informal,workplace,communities,that are usually partial and narrowly-focused, although some do,become,encompassing,and,broadly-based.,CSSNS connect,workers,within,and,between,organizations,who often are physically,dispersed. The nature of

Barry Wellman

214

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

215

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

216

Multicasting in delay tolerant networks: a social network perspective  

Microsoft Academic Search

Node mobility and end-to-end disconnections in Delay Tolerant Networks (DTNs) greatly impair the effectiveness of data dissem- ination. Although social-based approaches can be used to address the problem, most existing solutions only focus on forwarding data to a single destination. In this paper, we are the first to study multi- cast in DTNs from the social network perspective. We study

Wei Gao; Qinghua Li; Bo Zhao; Guohong Cao

2009-01-01

217

Multimedia Information Networks in Social Media  

NASA Astrophysics Data System (ADS)

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

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

218

Understanding Latent Interactions in Online Social Networks  

E-print Network

,wangxiao,huangpeng,swp,dyf}@net.pku.edu.cn, {bowlin,ravenben}@cs.ucsb.edu ABSTRACT Popular online social networks (OSNs) like Facebook and Twitter to date. All friendship links in Renren are public, allowing us to exhaustively crawl a connected graph Renren network, and use statistics of profile visits to study issues of user profile popularity

Zhao, Ben Y.

219

Microscopic Evolution of Social Networks Jure Leskovec  

E-print Network

Microscopic Evolution of Social Networks Jure Leskovec Lars Backstrom Ravi Kumar Andrew Tomkins Carnegie Mellon University Cornell University Yahoo Research jure@cs.cmu.edu lars that collectively lead to macroscopic properties of networks. Using a methodology based on the maximum

220

Urban Boys' Social Networks and School Violence.  

ERIC Educational Resources Information Center

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

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

2000-01-01

221

Incremental Centrality Computations for Dynamic Social Networks  

E-print Network

.carley@cs.cmu.edu Carnegie Mellon University Keywords: Centrality Computation, Incremental Algorithm Design, Dynamic Social solving the all-pairs shortest path problem. However, most of these metrics were designed for staticIncremental Centrality Computations for Dynamic Social Networks Miray Kas, Matthew Wachs, L

Sadeh, Norman M.

222

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

223

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

224

Network Analysis in Comparative Social Sciences  

ERIC Educational Resources Information Center

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

Vera, Eugenia Roldan; Schupp, Thomas

2006-01-01

225

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

226

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

227

Geographic Constraints on Social Network Groups  

PubMed Central

Social groups are fundamental building blocks of human societies. While our social interactions have always been constrained by geography, it has been impossible, due to practical difficulties, to evaluate the nature of this restriction on social group structure. We construct a social network of individuals whose most frequent geographical locations are also known. We also classify the individuals into groups according to a community detection algorithm. We study the variation of geographical span for social groups of varying sizes, and explore the relationship between topological positions and geographic positions of their members. We find that small social groups are geographically very tight, but become much more clumped when the group size exceeds about 30 members. Also, we find no correlation between the topological positions and geographic positions of individuals within network communities. These results suggest that spreading processes face distinct structural and spatial constraints. PMID:21483665

Gonzalez, Marta C.; Barabasi, Albert-Laszlo; Christakis, Nicholas A.

2011-01-01

228

Geographic constraints on social network groups.  

PubMed

Social groups are fundamental building blocks of human societies. While our social interactions have always been constrained by geography, it has been impossible, due to practical difficulties, to evaluate the nature of this restriction on social group structure. We construct a social network of individuals whose most frequent geographical locations are also known. We also classify the individuals into groups according to a community detection algorithm. We study the variation of geographical span for social groups of varying sizes, and explore the relationship between topological positions and geographic positions of their members. We find that small social groups are geographically very tight, but become much more clumped when the group size exceeds about 30 members. Also, we find no correlation between the topological positions and geographic positions of individuals within network communities. These results suggest that spreading processes face distinct structural and spatial constraints. PMID:21483665

Onnela, Jukka-Pekka; Arbesman, Samuel; Gonzlez, Marta C; Barabsi, Albert-Lszl; Christakis, Nicholas A

2011-01-01

229

Analysis of terrorist social networks with fractal views  

Microsoft Academic Search

Social network visualization has drawn significant attention over recent years. It creates images of social networks that provide investigators with new insights about network structures and helps them to communicate those insights to others. Visualization facilitates the social network analysis. It supports the investigators to discover patterns of interactions among the social actors including detecting subgroups, identifying central actors and

Christopher C. Yang; Marc Sageman

2009-01-01

230

Psy 970 Syllabus 1 Social Networks (Psy 970)  

E-print Network

with the guiding principles of social network analysis, and orient you toward thinking from a social network (published in digital form at http://faculty.ucr.edu/~hanneman/) Scott, J. (2000). Social network analysis, M., & Freeman, L. (2002). UCINET for Windows: Software for social network analysis. Analytic

Liu, Taosheng

231

Mailbook: privacy-protecting social networking via email  

Microsoft Academic Search

Current social networks are widespread used all over the world. And many users pay more and more attentions on how to protect their privacy in social networks. Traditional social networks based on client\\/server architecture cannot protect users' private information because the operator is untrusted. We propose a P2P architecture for social networking, called Mailbook. Mailbook uses the email services and

Cheng Yong; Wu Jiangjiang; Mei Songzhu; Wang Zhiying; Jun Ma; Ren Jiangchun; Yan Ke

2011-01-01

232

Monetary Value of Customer Networks in Mobile Social Networking Services  

Microsoft Academic Search

Mobile Social Networking Services (SNS) are an emerging trend in which individuals of similar interestscommunicate with one another using mobile phones. In this paper, we calculate the monetary value of customers and their networks in mobile SNS using the official data provided by a service provider. The mobile SNS enable users to create their avatars to communicate with each other

Naohiro Matsumura; Hikaru Yamamoto

2010-01-01

233

Mining Information of Anonymous User on a Social Network Service  

Microsoft Academic Search

2 vntlffl, 3 uk3080789, Abstract The growing number of individuals is recently writing their own opinions or information freely at the network space on the web such as the blog or Online Cafe and these network spaces are developed toward a new service called social network. Consequently, a lot of researchers are studying this social network lively. The social network

Kyung Soo Cho; Jae Yoel Yoon; Iee Joon Kim; Ji Yeon Lim; Seung Kwan Kim; Ung-Mo Kim

2011-01-01

234

Group-Level Analysis and Visualization of Social Networks  

E-print Network

of Computer & Information Science, University of Konstanz Abstract. Social network analysis investigates. 1 Network Analysis Social network analysis (SNA) [54] is an established, active, and popular networks, adequate software for social network analysis is becoming more and more important. As part of our

Brandes, Ulrik

235

Emergence of segregation in evolving social networks  

PubMed Central

In many social networks, there is a high correlation between the similarity of actors and the existence of relationships between them. This paper introduces a model of network evolution where actors are assumed to have a small aversion from being connected to others who are dissimilar to themselves, and yet no actor strictly prefers a segregated network. This model is motivated by Schellings [Schelling TC (1969) Models of segregation. Am Econ Rev 59:488493] classic model of residential segregation, and we show that Schellings results also apply to the structure of networks; namely, segregated networks always emerge regardless of the level of aversion. In addition, we prove analytically that attribute similarity among connected network actors always reaches a stationary distribution, and this distribution is independent of network topology and the level of aversion bias. This research provides a basis for more complex models of social interaction that are driven in part by the underlying attributes of network actors and helps advance our understanding of why dysfunctional social network structures may emerge. PMID:21551098

Henry, Adam Douglas; Pralat, Pawel; Zhang, Cun-Quan

2011-01-01

236

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

E-print Network

changed with the social networking revolution. The process of developing social relationships amongSocial networking has completely transformed social life in the online world. It has become and cons in its own sphere, though, and social networking web sites are no different. Online social

Enbody, Richard

237

Visual Matrix Clustering of Social Networks  

SciTech Connect

The prevailing choices to graphically represent a social network in todays 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

238

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

239

Producing Timely Recommendations From Social Networks Through Targeted Search  

E-print Network

Producing Timely Recommendations From Social Networks Through Targeted Search Anil G, Experimentation, Human Factors Cite as: Producing Timely Recommendations From Social Networks, Anil G Metrix reported, 1% of all Internet time is spent on Facebook [4]. These networks encourage users

Sen, Sandip

240

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

241

Optimal Marketing Strategies over Social Networks Jason Hartline  

E-print Network

to collect information about social-network users and their social relationships. Social networks like MySpace by a user', identifies MySpace and Facebook among the top 10 websites. There have been several efforts

Immorlica, Nicole

242

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; Purcell, Kristen; Rainie, Harrison; Sessions Goulet, Lauren

243

DIGITAL DIVIDES AND SOCIAL NETWORK SITES: WHICH STUDENTS PARTICIPATE IN SOCIAL MEDIA?  

E-print Network

Social network sites (SNSs) like Myspace and Facebook are now popular online communities with large teenage user populations. Teens use these technologies to interact, play, explore, and learn in significant ways. As scholars become interested in studying these new online communities, I contribute to the emerging conversation by re-examining questions about the digital divide. This study utilizes a nationally representative survey from the Pew Internet & American Life Project to investigate whether access and participation divides persist in teens use of SNSs. I use binary logistic regression to examine the relationship between social, demographic, and technology variables with youth participation in social network sites. The results suggest that traditional divide indicators such as Internet access or parent education are not significant predictors of SNS use. Youth appear to find a way to get connected. Deeper understanding of the social and cultural factors related to participation in social technologies is needed for youth populations. Since the release of the first social network site (SNS) in 1997, the growth of these online communities has skyrocketed. Familiar examples of SNSs include Facebook and MySpace, but there are hundreds of services that cater to a variety of populations (boyd & Ellison, 2007). Social network sites now mediate a vast array of communication between adolescents. Research on SNSs offers a ripe

unknown authors

244

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

245

Spatializing Social Networks: Using Social Network Analysis to Investigate Geographies of Gang Rivalry, Territoriality, and Violence in Los Angeles  

Microsoft Academic Search

Social network analysis is an increasingly prominent set of techniques used in a number of social sciences, but the use of the techniques of social network analysis in geography has been challenged because of a perceived lack of geographic nuance or consideration of spatialities of context in social networks. The concept of social position and the associated technique of structural

Steven M. Radil; Colin Flint; George E. Tita

2010-01-01

246

Community Structure in Online Collegiate Social Networks  

E-print Network

We apply the tools of network analysis to study the roles of university organizations and affiliations in structuring the social networks of students by examining the graphs of Facebook "friendships" at five American universities at a single point in time. In particular, we investigate each single-institution network's community structure, which we obtain by partitioning the graphs using an eigenvector method. We employ both graphical and quantitative tools, including pair-counting methods that we interpret through statistical analysis and permutation tests, to measure the correlations between the network communities and a set of self-identified user characteristics (residence, class year, major, and high school). We additionally investigate single-gender subsets of the university networks and also examine the impact of incomplete demographic information in the data. Our study across five universities allows one to make comparative observations about the online social lives at the different institutions, whic...

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

2008-01-01

247

Community Structure in Online Collegiate Social Networks  

NASA Astrophysics Data System (ADS)

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

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

2009-03-01

248

From Local to Global Dilemmas in Social Networks  

PubMed Central

Social networks affect in such a fundamental way the dynamics of the population they support that the global, population-wide behavior that one observes often bears no relation to the individual processes it stems from. Up to now, linking the global networked dynamics to such individual mechanisms has remained elusive. Here we study the evolution of cooperation in networked populations and let individuals interact via a 2-person Prisoner's Dilemma a characteristic defection dominant social dilemma of cooperation. We show how homogeneous networks transform a Prisoner's Dilemma into a population-wide evolutionary dynamics that promotes the coexistence between cooperators and defectors, while heterogeneous networks promote their coordination. To this end, we define a dynamic variable that allows us to track the self-organization of cooperators when co-evolving with defectors in networked populations. Using the same variable, we show how the global dynamics and effective dilemma co-evolves with the motifs of cooperators in the population, the overall emergence of cooperation depending sensitively on this co-evolution. PMID:22363804

Pinheiro, Flavio L.; Pacheco, Jorge M.; Santos, Francisco C.

2012-01-01

249

Community Core Evolution in Mobile Social Networks  

PubMed Central

Community detection in social networks attracts a lot of attention in the recent years. Existing methods always depict the relationship of two nodes using the temporary connection. However, these temporary connections cannot be fully recognized as the real relationships when the history connections among nodes are considered. For example, a casual visit in Facebook cannot be seen as an establishment of friendship. Hence, our question is the following: how to cluster the real friends in mobile social networks? In this paper, we study the problem of detecting the stable community core in mobile social networks. The cumulative stable contact is proposed to depict the relationship among nodes. The whole process is divided into timestamps. Nodes and their connections can be added or removed at each timestamp, and historical contacts are considered when detecting the community core. Also, community cores can be tracked through the incremental computing, which can help to recognize the evolving of community structure. Empirical studies on real-world social networks demonstrate that our proposed method can effectively detect stable community cores in mobile social networks. PMID:24163629

Xiao, Weidong; Tang, Jiuyang

2013-01-01

250

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

251

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

252

Social Integration of People with Serious Mental Illness: Network Transactions and Satisfaction  

PubMed Central

Social integration involves a process through which an individual establishes and maintains meaningful interpersonal relationships characterized by mutual exchange with community members in nonclinical settings. Using self-report data from a probability sample (n=252) of supportive independent housing residents, transactional (i.e., support exchanges) characteristics of social networks, paying particular attention to reciprocation of exchanges between residents and their network members, were analyzed. The study also examined the extent to which transactional characteristics are related to satisfaction with social relations. Findings indicated considerable reciprocity in social relationships. Controlling for sociodemographic variables and network structure characteristics, mutual exchanges of tangible and problem-solving support were positively associated with network satisfaction. Results suggest that supported socialization services aimed at network and resource development with this population could facilitate more frequent exchanges of tangible resources and problem-solving opportunities between consumers and network members, which, in turn, might promote social integration. PMID:20052620

Wong, Yin-Ling Irene; Matejkowski, Jason; Lee, Sungkyu

2012-01-01

253

Strategic Paradox of Social Networks.  

National Technical Information Service (NTIS)

During the past few decades, the world witnessed social media s climb from relative obscurity to a primary means of communication for millions of people. Mirroring their civilian counterparts, military organizations and individual service members discover...

R. Cote

2011-01-01

254

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

255

Towards Network Games with Social Preferences  

NASA Astrophysics Data System (ADS)

Many distributed systems can be modeled as network games: a collection of selfish players that communicate in order to maximize their individual utilities. The performance of such games can be evaluated through the costs of the system equilibria: the system states in which no player can increase her utility by unilaterally changing her behavior. However, assuming that all players are selfish and in particular that all players have the same utility function may not always be appropriate. Hence, several extensions to incorporate also altruistic and malicious behavior in addition to selfishness have been proposed over the last years. In this paper, we seek to go one step further and study arbitrary relationships between participants. In particular, we introduce the notion of the social range matrix and explore the effects of the social range matrix on the equilibria in a network game. In order to derive concrete results, we propose a simplistic network creation game that captures the effect of social relationships among players.

Kuznetsov, Petr; Schmid, Stefan

256

Towards Network Games with Social Preferences  

E-print Network

Many distributed systems can be modeled as network games: a collection of selfish players that communicate in order to maximize their individual utilities. The performance of such games can be evaluated through the costs of the system equilibria: the system states in which no player can increase her utility by unilaterally changing her behavior. However, assuming that all players are selfish and in particular that all players have the same utility function may not always be appropriate. Hence, several extensions to incorporate also altruistic and malicious behavior in addition to selfishness have been proposed over the last years. In this paper, we seek to go one step further and study arbitrary relationships between participants. In particular, we introduce the notion of the social range matrix and explore the effects of the social range matrix on the equilibria in a network game. In order to derive concrete results, we propose a simplistic network creation game that captures the effect of social relationshi...

Kuznetsov, Petr

2010-01-01

257

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

258

Toward Understanding Friendship in Online Social Networks  

E-print Network

All major on-line social networks, such as MySpace, Facebook, LiveJournal, and Orkut, are built around the concept of friendship. It is not uncommon for a social network participant to have over 100 friends. A natural question arises: are they all real friends of hers, or does she mean something different when she calls them "friends?" Speaking in other words, what is the relationship between off-line (real, traditional) friendship and its on-line (virtual) namesake? In this paper, we use sociological data to suggest that there is a significant difference between the concepts of virtual and real friendships. We further investigate the structure of on-line friendship and observe that it follows the Pareto (or double Pareto) distribution and is subject to age stratification but not to gender segregation. We introduce the concept of digital personality that quantifies the willingness of a social network participant to engage in virtual friendships.

Zinoviev, Dmitry

2009-01-01

259

Empathetic Social Choice on Social Networks Amirali Salehi-Abari and Craig Boutilier  

E-print Network

the effectiveness of our proposed algorithms. 1 Introduction Social networks play a central role in individual that allows one to infer such relationships, the study of social choice problems on social networks is oneEmpathetic Social Choice on Social Networks Amirali Salehi-Abari and Craig Boutilier Abstract

Boutilier, Craig

260

A social model for Literature Access: Towards a weighted social network of authors  

E-print Network

- cial relationships which takes into account the authors posi- tions in the social network consumers in the social network and extract new relationships from ci- tation and social bookmarkingA social model for Literature Access: Towards a weighted social network of authors Lamjed Ben

Boyer, Edmond

261

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

262

Social diffusion and global drift in adaptive social networks  

E-print Network

Social contagion has been studied in various contexts. Many instances of social contagion can be modeled as an infection process where a specific state (adoption of product, fad, knowledge, behavior, etc.) spreads from individual to individual through links between them. In the meantime, other forms of social contagion may better be understood as a diffusion process where the state of an individual tends to assimilate with the social norm (i.e., local average state) within his/her neighborhood. Unlike infection scenarios where influence is nonlinear, unidirectional, fast, and potentially disruptive, social diffusion is linear, bidirectional, gradual, and converging. The distance between an individual's state and his/her neighbors' average state always decreases, and thus a homogeneous global state is guaranteed to be the network's stable equilibrium state in the long run. This does not sound as intriguing or exciting as infection dynamics, which might be why there are very few studies on mathematical models o...

Sayama, Hiroki

2014-01-01

263

Defining Friendworks; Communication perspective on Social networks Types  

Microsoft Academic Search

This paper introduces friendwork as a new term in social networks studies. A friendwork is a network of friends. It is a specific case of an interpersonal social network. Naming this seemingly well known and familiar group of people as a friendwork facilitates its differentiation from the overall social network, while highlighting this subgroup's specific attributes and dynamics. The focus

Orit Ben-Narush

2009-01-01

264

Building Dynamic Social Network From Sensory Data Feed  

Microsoft Academic Search

In this paper, we present a framework that bridges body sensor networks (BSNs) and social networks by mapping a subgroup of members of one's social network with each sensory data feed of his BSN. We leverage the open stack of the Internet by creating an overlay on top of existing social networks. Thus, any sensor triggering sensory data push from

Abdulmotaleb El-Saddik; Wail Gueaieb

2010-01-01

265

Geographic Routing in Social Networks David Liben-Nowell  

E-print Network

-world social networks. Here we introduce a richer model relating geography and social-network friendship of closer people. In a large social network, we show that one third of the friendships are independent the popular notion of "six degrees of separation." As part of the recent surge of interest in networks

Liben-Nowell, David

266

Growth of the Flickr Social Network Alan Mislove  

E-print Network

University of Maryland College Park, MD ABSTRACT Online social networking sites like MySpace, Orkut networks, measurement, growth 1. INTRODUCTION Online social networking sites such as MySpace [15], Orkut at large scale. To date, most measurement and analysis of online social networks has focused

Druschel, Peter

267

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.

Santone, Adam

2012-02-13

268

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

269

Finding and Matching Communities in Social Networks Using Data Mining  

Microsoft Academic Search

The rapid growth in the number of users using social networks and the information that a social network requires about their users make the traditional matching systems insufficiently adept at matching users within social networks. This paper introduces the use of clustering to form communities of users and, then, uses these communities to generate matches. Forming communities within a social

Slah Alsaleh; Richi Nayak; Yue Xu

2011-01-01

270

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

271

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

272

Social Scholarship: Applying Social Networking Technologies to Research Practices  

ERIC Educational Resources Information Center

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

Greenhow, Christine

2009-01-01

273

Multidimensional Social Network in the Social Recommender System  

Microsoft Academic Search

All online sharing systems gather data that reflects users' collective behavior and their shared activities. This data can be used to extract different kinds of relationships which can be grouped into layers and which are basic components of the multi- dimensional social network (MSN) proposed in the paper. The layers are created on the basis of two types of relations

Przemys?aw Kazienko; Katarzyna Musial; Tomasz Kajdanowicz

2011-01-01

274

Spreading paths in partially observed social networks.  

PubMed

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

Onnela, Jukka-Pekka; Christakis, Nicholas A

2012-03-01

275

Spreading paths in partially observed social networks  

PubMed Central

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

Onnela, Jukka-Pekka; Christakis, Nicholas A.

2012-01-01

276

Spreading paths in partially observed social networks  

NASA Astrophysics Data System (ADS)

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

Onnela, Jukka-Pekka; Christakis, Nicholas A.

2012-03-01

277

Detecting emotional contagion in massive social networks.  

PubMed

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

278

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

279

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.

280

Visone Software for Visual Social Network Analysis  

Microsoft Academic Search

We are developing a social network tool that is powerful, comprehensive, and yet easy to use. The unique feature of our tool\\u000a is the integration of network analysis and visualization. In a long-term interdisciplinary research collaboration, members\\u000a of our group had implemented several prototypes to explore and demonstrate the feasibility of novel methods. These prototypes\\u000a have been revised and combined

Michael Baur; Marc Benkert; Ulrik Brandes; Sabine Cornelsen; Marco Gaertler; Boris Kpf; Jrgen Lerner; Dorothea Wagner

281

Efficient search ranking in social networks  

Microsoft Academic Search

In social networks such as Orkut, www.orkut.com, a large portion of the user queries refer to names of other people. Indeed, more than 50% of the queries in Orkut are about names of other users, with an average of 1.8 terms per query. Further, the users usually search for people with whom they maintain relationships in the network. These relationships

Monique V. Vieira; Bruno M. Fonseca; Rodrigo Damazio; Paulo Braz Golgher; Davi De Castro Reis; Berthier A. Ribeiro-neto

2007-01-01

282

Why People Use Social Networking Sites  

Microsoft Academic Search

One of the recent popular social media platforms is the social networking site (SNS). Thus far, few previous studies have\\u000a empirically investigated peoples motivations for SNS usage, especially not outside the U.S. This study combines a large-scale\\u000a quantitative and qualitative research design, by asking 1,200 SNS users an open question regarding their reasons for using\\u000a SNSs. An important conclusion drawn

Petter Bae Brandtzg; Jan Heim

2009-01-01

283

The Social Phobia Psychotherapy Research Network  

Microsoft Academic Search

This paper presents the Social Phobia Psychotherapy Research Network. The research program encompasses a coordinated group of studies adopting a standard protocol and an agreed-on set of standardized measures for the assessment and treatment of social phobia (SP). In the central project (study A), a multicenter randomized controlled trial, refined models of manualized cognitive-behavioral therapy and manualized short-term psychodynamic psychotherapy

F. Leichsenring; J. Hoyer; M. Beutel; S. Herpertz; W. Hiller; E. Irle; P. Joraschky; H. H. Knig; T. M. de Liz; B. Nolting; K. Phlmann; S. Salzer; H. Schauenburg; U. Stangier; B. Strauss; C. Subic-Wrana; S. Vormfelde; G. Weniger; U. Willutzki; J. Wiltink; E. Leibing

2009-01-01

284

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

285

Network Analysis of Social Interactions in Laboratories  

NSDL National Science Digital Library

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

Warren, Aaron R.

2009-01-24

286

Network Analysis of Social Interactions in Laboratories  

NASA Astrophysics Data System (ADS)

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

Warren, Aaron R.

2008-10-01

287

Collecting social network data to study social activity-travel behavior: an egocentric approach  

Microsoft Academic Search

This paper presents a data collection effort designed to incorporate the social dimension in social activity-travel behavior by explicitly studying the link between individuals social activities and their social networks. The main hypothesis of the data collection effort is that individuals travel behavior is conditional upon their social networks; that is, a key cause of travel behavior is the social

Juan-Antonio Carrasco; Bernie Hogan; Barry Wellman; Eric J Miller

2008-01-01

288

Diffusion of Innovations over Multiplex Social Networks  

E-print Network

The ways in which an innovation (e.g., new behaviour, idea, technology, product) diffuses among people can determine its success or failure. In this paper, we address the problem of diffusion of innovations over multiplex social networks where the neighbours of a person belong to one or multiple networks (or layers) such as friends, families, or colleagues. To this end, we generalise one of the basic game-theoretic diffusion models, called networked coordination game, for multiplex networks. We present analytical results for this extended model and validate them through a simulation study, finding among other properties a lower bound for the success of an innovation.While simple and leading to intuitively understandable results, to the best of our knowledge this is the first extension of a game-theoretic innovation diffusion model for multiplex networks and as such it provides a basic framework to study more sophisticated innovation dynamics.

Ramezanian, Rasoul; Magnani, Matteo; Montesi, Danilo

2014-01-01

289

False-Name-Proofness in Social Networks  

Microsoft Academic Search

In mechanism design, the goal is to create rules for making a decision based on the preferences of multiple parties (agents), while taking into account that a gents may behave strategically. An emerging phenomenon is to run such mechanisms on a social network; for example, Facebook recently allowed its users to vote on its future terms of use. One significant

Vincent Conitzer; Nicole Immorlica; Joshua Letchford; Kamesh Munagala; Liad Wagman

2010-01-01

290

Tutorial on Location-Based Social Networks  

Microsoft Academic Search

This is a tutorial on location-based social networks (LBSNs), introducing the concept, unique features, and research philosophy of LBSNs and the representative research into LBSNs. The homepage of LBSN is http:\\/\\/research.microsoft.com\\/en-us\\/projects\\/lbsn\\/default.aspx.

Yu Zheng

2012-01-01

291

The Social Network Classroom Peter Bunus  

E-print Network

messages, playing online games, create blogs or download videos. Table 1. Generational differences 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

Burns, Peter

292

COMPUTATIONS IN SOCIAL NETWORK A thesis submitted  

E-print Network

COMPUTATIONS IN SOCIAL NETWORK A thesis submitted to Kent State University in partial fulfillment S Shaikh B.E, Pune University, 2000 M.S, Kent State University, 2007 Approved by Dr. Javed I Khan , Advisor........................................................................................................ 10 2.2. Reputation Reasoning System

Khan, Javed I.

293

Social networks and community prevention coalitions.  

PubMed

This study investigates the links between community readiness and the social networks among participants in Communities That Care (CTC), community-based prevention coalitions. The coalitions targeted adolescent behavior problems through community risk factor assessments, prioritization of risk factors, and selection/implementation of corresponding evidence-based family, school, and community programs. Key leaders (n = 219) in 23 new CTC sites completed questionnaires focusing on community readiness to implement CTC and the respondents' personal, work, and social organization links to other key leaders in the community. Outside technical assistants also completed ratings of each community's readiness and early CTC functioning. Measures of network cohesion/integration were positively associated with readiness, while centralization was negatively associated. These results suggest that non-centralized networks in which ties between members are close and direct may be an indicator of community readiness. In addition, we found different associations between readiness and different domains of social relations. EDITORS' STRATEGIC IMPLICATIONS: The authors present the promising practice of using social network analysis to characterize the functioning of local prevention coalitions and their readiness to implement a community-based prevention initiative. Researchers and community planners will benefit from the lessons in this article, which capitalizes on a large sample and multiple informants. This work raises interesting questions about how to combine the promotion of coalition functioning while simultaneously encouraging diversity of coalition membership. PMID:15995800

Feinberg, Mark E; Riggs, Nathaniel R; Greenberg, Mark T

2005-07-01

294

Privacy protection issues in social networking sites  

Microsoft Academic Search

Social networking sites (SNS) have become very popular during the past few years, as they allow users to both express their individuality and meet people with similar interests. Nonetheless, there are also many potential threats to privacy associated with these SNS such as identity theft and disclosure of sensitive information. However, many users still are not aware of these threats

Ai Ho; Abdou Maiga; Esma Ameur

2009-01-01

295

Measuring profile distance in online social networks  

Microsoft Academic Search

Online Social Networks (OSNs) provide new ways for people to communicate with one another and to share content. OSNs have become quite popular among the general population but their rapid growth has raised concerns about privacy and security. Many predict that the OSNs of today provide a glimpse of the future Internet infrastructure. Whether or not that will be true

Niklas Lavesson; Henric Johnson

2011-01-01

296

Inferring Private Information Using Social Network Data  

E-print Network

Inferring Private Information Using Social Network Data Jack Lindamood and Murat Kantarcioglu that can guarantee the privacy of the individuals that consent to the release. · Private Information or hide their details in order to keep sensitive information private and still get the benefits of being

Kantarcioglu, Murat

297

Ego Development and Social Network Structure.  

ERIC Educational Resources Information Center

This research investigated the relationship between ego development and social network structure in grades 9 through 12 in a private school. Students filled out a sentence completion test for ego development and named friends with whom they spent the most time in school on a sociometric questionnaire. Popularity, mutuality in dyads, and choices

Hansell, Stephen

298

Social Networks in Sports V. Boginski1  

E-print Network

Social Networks in Sports V. Boginski1 , S. Butenko2 , P. M. Pardalos1 , and O. Prokopyev1 1 Introduction We live in the world of information, where huge amounts of data of diverse nature and origin arise in various spheres of life, including sports. To get useful information from this data, one should apply

Butenko, Sergiy

299

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

300

Optimal marketing strategies over social networks  

Microsoft Academic Search

We discuss the use of social networks in implementing vi- ral marketing strategies. While influence maximization has been studied in this context (see Chapter 24 of (10)), we study revenue maximization, arguably, a more natural ob- jective. In our model, a buyer's decision to buy an item is influenced by the set of other buyers that own the item and

Jason D. Hartline; Vahab S. Mirrokni; Mukund Sundararajan

2008-01-01

301

Researching Organizational Systems using Social Network Analysis  

Microsoft Academic Search

A key impact of organizational systems and new information technologies is that they enable new organizational forms - the structural features or patterns of relationships and information flows of an organization. Consequently, research on organization systems can benefit from methods that are explicitly directed toward describing and measuring organizational forms and structures. This article proposes social network analysis as a

Michael H. Zack

2000-01-01

302

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

303

Efficient influence maximization in social networks  

Microsoft Academic Search

Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the influence maxi- mization problem from two angles in order to significantly reduce the running time of existing algorithms. One is to improve the orig- inal greedy algorithm of (6)

Wei Chen; Yajun Wang; Siyu Yang

2009-01-01

304

Semantic Social Network Analysis, a concrete case  

E-print Network

with a similar enrichment of the semantics of the meta-data attached to the shared resources, will allow of interactions (messages, comments on resources, etc.). We show that the enriched semantic web frameworkSemantic Social Network Analysis, a concrete case Guillaume Erétéo, Orange Labs, guillaume

Paris-Sud XI, Université de

305

NODE CLASSIFICATION IN SOCIAL NETWORKS Smriti Bhagat  

E-print Network

questions to those with most relevant experience to a given question. Advertising systems which show advertisements to those individ- uals most likely to be interested and receptive to advertising on a particular to themselves, these labels can #12;Node Classification in Social Networks 3 be misleading, inappropriate

Cormode, Graham

306

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

307

Multigraph Sampling of Online Social Networks  

Microsoft Academic Search

The popularity of Online Social Networks (OSNs) has skyrocketed within the past decade, with the most popular having at present hundreds of millions of users (a number that continues to grow apace). This success has inspired a number of measurement and characterization studies, as well as studies of the interaction between OSN structure and systems design, and of user behavior

Minas Gjoka; Carter T. Butts; Maciej Kurant; Athina P. Markopoulou

2011-01-01

308

Social networks and adaptation in rural Bangladesh  

Microsoft Academic Search

In the coming years, poor village populations in Bangladesh are expected to feel tangible climate change impacts in multiple and catastrophic forms impacting on their livelihoods and survival. Human adaptation to these impacts will thus be imperative. Research in one rural, flood-prone village in Bangladesh provides valuable information about the role of formal and informal social networks in coping with

FIONA J. Y. ROTBERG

2010-01-01

309

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

310

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

311

Sequential Influence Models in Social Networks  

Microsoft Academic Search

The spread of influence among individuals in a social net- work can be naturally modeled in a probabilistic framework, but it is challenging to reason about differences between var- ious models as well as to relate these models to actual so- cial network data. Here we consider two of the most fun- damental definitions of influence, one based on a

Dan Cosley; Daniel P. Huttenlocher; Jon M. Kleinberg; Xiangyang Lan; Siddharth Suri

2010-01-01

312

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

PubMed

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

2013-02-20

313

Understanding online social network usage from a network perspective  

Microsoft Academic Search

Online Social Networks (OSNs) have already attracted more than half a billion users. However, our understanding of which OSN fea- tures attract and keep the attention of these users is poor. S tudies thus far have relied on surveys or interviews of OSN users or fo- cused on static properties, e. g., the friendship graph, gat hered via sampled crawls.

Fabian Schneider; Anja Feldmann; Balachander Krishnamurthy; Walter Willinger

2009-01-01

314

Understanding Online Social Network Usage from a Network Perspective  

E-print Network

Online Social Networks (OSNs) such as Facebook, MySpace, LinkedIn, Hi5, and StudiVZ, have become popular alone adds over 377,000 users every twenty-four hours and is expected to overtake MySpace in the total

Fisher, Kathleen

315

Reciprocity and the Emergence of Power Laws in Social Networks  

NASA Astrophysics Data System (ADS)

Research in network science has shown that many naturally occurring and technologically constructed networks are scale free, that means a power law degree distribution emerges from a growth model in which each new node attaches to the existing network with a probability proportional to its number of links (= degree). Little is known about whether the same principles of local attachment and global properties apply to societies as well. Empirical evidence from six ethnographic case studies shows that complex social networks have significantly lower scaling exponents ? ~ 1 than have been assumed in the past. Apparently humans do not only look for the most prominent players to play with. Moreover cooperation in humans is characterized through reciprocity, the tendency to give to those from whom one has received in the past. Both variables reciprocity and the scaling exponent are negatively correlated (r = -0.767, sig = 0.075). If we include this effect in simulations of growing networks, degree distributions emerge that are much closer to those empirically observed. While the proportion of nodes with small degrees decreases drastically as we introduce reciprocity, the scaling exponent is more robust and changes only when a relatively large proportion of attachment decisions follow this rule. If social networks are less scale free than previously assumed this has far reaching implications for policy makers, public health programs and marketing alike.

Schnegg, Michael

316

Influence of reciprocal links in social networks.  

PubMed

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

317

Managing Trust in Online Social Networks  

NASA Astrophysics Data System (ADS)

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

Bhuiyan, Touhid; Josang, Audun; Xu, Yue

318

Social networks as embedded complex adaptive systems.  

PubMed

As systems evolve over time, their natural tendency is to become increasingly more complex. Studies in the field of complex systems have generated new perspectives on management in social organizations such as hospitals. Much of this research appears as a natural extension of the cross-disciplinary field of systems theory. This is the 15th in a series of articles applying complex systems science to the traditional management concepts of planning, organizing, directing, coordinating, and controlling. In this article, the authors discuss healthcare social networks as a hierarchy of embedded complex adaptive systems. The authors further examine the use of social network analysis tools as a means to understand complex communication patterns and reduce medical errors. PMID:20798616

Benham-Hutchins, Marge; Clancy, Thomas R

2010-09-01

319

Social network from communities of electronic mail  

E-print Network

Social networks are analyzed as graphs under the scope of discrete mathematics which have a great range of applications in different contexts such as: technology, social phenomena and biological systems. At the present this theory gives a set of tools for a phenomenological analysis that would be difficult or almost impossible with a different approach. In this work social networks for different technical communities from electronic mail and ``News'' in Spanish language are constructed. The algorithm was based on the use of RFC2822 standards and RFC1036 to arm threads of messages. The results are quite different from that obtained by another kind of community as the jazz musicians community. Nevertheless they show an analogy to random graphs obtained by the ``Configuration Model'' method. This points the attention that some generalization assumptions are not correct.

Horacio Castellini; Lilia Romanelli

2005-09-08

320

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

321

Predicting Communication Intention in Social Networks Charalampos Chelmis  

E-print Network

advertising campaigns. Link prediction in social networks is a challenging prob- lem, as social networking link prediction, but this information is not well struc- tured, and is often misleading or ambiguous

Prasanna, Viktor K.

322

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

NASA Astrophysics Data System (ADS)

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

Stocco, Gabriel; Savell, Robert; Cybenko, George

2010-04-01

323

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

Microsoft Academic Search

In this chapter we explore the concept of community within social networks and the effect that this primarily social construct\\u000a can have on the way in which we understand trust within an online network. To do this we analyse and compare a number of the\\u000a definitions that are both traditionally used to identify online communities and which have developed with

K. Faith Lawrence

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

Air quality prediction using optimal neural networks with stochastic variables  

NASA Astrophysics Data System (ADS)

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 network 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 an optimal variable set for training neural network models in forecasting geophysical and weather properties. Finally, we briefly discuss other possible applications of such optimized neural network models.

Russo, Ana; Raischel, Frank; Lind, Pedro G.

2013-11-01

326

The Effects of Social Influence on User Acceptance of Online Social Networks  

Microsoft Academic Search

With the proliferation of online social networks, understanding how and why individuals adopt and use online social networks can help managers and marketers to design better methods and approaches towards engaging their users. The purpose of this study is to investigate the determinants of user acceptance of online social networks, with particular attention given to the effects of social influence.

Li Qin; Yongbeom Kim; Jeffrey Hsu; Xin Tan

2011-01-01

327

Spread of academic success in a high school social network.  

PubMed

Application of social network analysis to education has revealed how social network positions of K-12 students correlate with their behavior and academic achievements. However, no study has been conducted on how their social network influences their academic progress over time. Here we investigated correlations between high school students' academic progress over one year and the social environment that surrounds them in their friendship network. We found that students whose friends' average GPA (Grade Point Average) was greater (or less) than their own had a higher tendency toward increasing (or decreasing) their academic ranking over time, indicating social contagion of academic success taking place in their social network. PMID:23418483

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

2013-01-01

328

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

329

Information Integration for Terrorist or Criminal Social Networks  

Microsoft Academic Search

\\u000a Social network analysis discovers knowledge embedded in the structure of social networks, which is useful for intelligence\\u000a and law enforcement force in investigation. However, individual agency usually has part of the complete terrorist or criminal\\u000a social network and therefore some crucial knowledge could not be extracted. Sharing information between different agencies\\u000a will make such a social network analysis more effective,

Christopher C. Yang; Xuning Tang

330

Resilience of Social Networks Under Different Attack Strategies  

E-print Network

Recent years have seen the world become a closely connected society with the emergence of different types of social networks. Online social networks have provided a way to bridge long distances and establish numerous communication channels which were not possible earlier. These networks exhibit interesting behavior under intentional attacks and random failures where different structural properties influence the resilience in different ways. In this paper, we perform two sets of experiments and draw conclusions from the results pertaining to the resilience of social networks. The first experiment performs a comparative analysis of four different classes of networks namely small world networks, scale free networks, small world-scale free networks and random networks with four semantically different social networks under different attack strategies. The second experiment compares the resilience of these semantically different social networks under different attack strategies. Empirical analysis reveals interesti...

Latif, Mohammad Ayub; Zaidi, Faraz

2014-01-01

331

Data-Driven Modeling and Analysis of Online Social Networks  

Microsoft Academic Search

\\u000a With hundreds of millions of users worldwide, social networks provide incredible opportunities for social connection, learning,\\u000a political and social change, and individual entertainment and enhancement in a wide variety of forms. In light of these notable\\u000a outcomes, understanding information diffusion over online social networks is a critical research goal. Because many social\\u000a interactions currently take place in online networks, we

Divyakant Agrawal; Bassam Bamieh; Ceren Budak; Amr El Abbadi; Andrew Flanagin; Stacy Patterson

332

Social network theory: new insights and issues for behavioral ecologists  

Microsoft Academic Search

Until recently, few studies have used social network theory (SNT) and metrics to examine how social network structure (SNS)\\u000a might influence social behavior and social dynamics in non-human animals. Here, we present an overview of why and how the\\u000a social network approach might be useful for behavioral ecology. We first note four important aspects of SNS that are commonly\\u000a observed,

Andrew Sih; Sean F. Hanser; Katherine A. McHugh

2009-01-01

333

Social Network and Blood Pressure: A Population Study  

Microsoft Academic Search

The relationship between social network and blood pressure was assessed in a cross-sectional, random sample of 1409 white adults aged 20 to 70 years studied in Buffalo in 1961. Higher total social network scores were associated with lower systolic and diastolic blood pressure in both males and females. Considering the components of social network separately, increased size of household and

SUSAN H. BLAND; VITTORIO KROGH; WARREN WINKELSTEIN; MAURIZIO TREVISAN

334

Modeling Behaviors Selection in Crowd Simulation of Social Networks  

Microsoft Academic Search

This paper applies dynamics model to understand the origin of dominant behaviors in social networks that generally lead to emergence of personage, i.e. few leaders with overwhelming popular support. We commentate the notion of behaviors selection networks and introduce an improved social behaviors selection model for evolutionary dynamics of behaviors in social networks that exhibits a rich set of emergent

Xulin Xu; Xiaofeng Hu; Guangya Si; Zengqiang Chen

2010-01-01

335

Inferring Social Ties across Heterogenous Networks Department of Computer  

E-print Network

the type of social relationships by learning across heterogeneous networks. The framework incorporates the type of social relationships in a target network, by bor- rowing knowledge from a different sourceInferring Social Ties across Heterogenous Networks Jie Tang Department of Computer Science Tsinghua

Kleinberg, Jon

336

Privacy Preserving in Social Networks Against Sensitive Edge Disclosure  

E-print Network

), small-world effect (the average shortest path length for social networks is empirically smallPrivacy Preserving in Social Networks Against Sensitive Edge Disclosure Lian Liu #1 , Jie Wang #2-- With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising

Zhang, Jun

337

MatLink: Enhanced Matrix Visualization for Analyzing Social Networks  

E-print Network

MatLink: Enhanced Matrix Visualization for Analyzing Social Networks Nathalie Henry1,2 and Jean Abstract. Visualizing social networks presents challeges for both node- link and adjacency matrix representations. Social networks are locally dense, which makes node-link displays unreadable. Yet, main analysis

Boyer, Edmond

338

Preventing Private Information Inference Attacks on Social Networks  

E-print Network

data mining--that is, the discovery of information and relationships from social network data withoutPreventing Private Information Inference Attacks on Social Networks Raymond Heatherly, Murat Kantarcioglu, and Bhavani Thuraisingham, Fellow, IEEE Abstract--Online social networks, such as Facebook

Kantarcioglu, Murat

339

ReferralWeb: Combining Social Networks and Collaborative Filtering  

E-print Network

ReferralWeb: Combining Social Networks and Collaborative Filtering Henry Kautz, Bart Selman and Galaskiewicz 1994). Indeed, the social network 1 is as least as important as the official organizational) to primary work functions, such as creating project teams. Part of the success of social networks can

Kautz, Henry

340

Preventing Private Information Inference Attacks on Social Networks  

E-print Network

an opportunity for social network data mining ­ that is, the discovery of in- formation and relationships fromPreventing Private Information Inference Attacks on Social Networks Technical Report UTDCS-03 of Texas at Dallas Jack Lindamood Facebook February 22, 2009 Abstract On-line social networks

Kantarcioglu, Murat

341

Incremental Local Community Identification in Dynamic Social Networks  

E-print Network

proposed framework. I. INTRODUCTION A social network shows the structure of relationships betweenIncremental Local Community Identification in Dynamic Social Networks Mansoureh Takaffoli, Reihaneh, Canada T6G 2E8 Email:{takaffol,rabbanyk,zaiane}@ualberta.ca Abstract-- Social networks are usually drawn

Zaiane, Osmar R.

342

A formal model for building a social network  

Microsoft Academic Search

A social network is a map of specified ties between the actors being studied. Social network analysis is the mapping and measuring of relationships between entities to provide a visual and mathematical analysis of relationships among actors. Interest in analyzing computer-based social networks has grown as human communication has increasingly moved online. More so, computer logs give the ability to

Junhua Ding; Ismael Cruz; ChengCheng Li

2011-01-01

343

Predictors of Social Network Composition among Homeless and Runaway Adolescents  

ERIC Educational Resources Information Center

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

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

2005-01-01

344

Predictors of social network composition among homeless and runaway adolescents  

Microsoft Academic Search

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

Kurt D. Johnson; Les B. Whitbeck; Dan R. Hoyt

2005-01-01

345

Social Networks in Health Care: Communication, collaboration and insights  

E-print Network

Social Networks in Health Care: Communication, collaboration and insights Foreword At Chirp and explore its current and potential impacts on the health care industry. We believe that social networking and leverage other consumers' knowledge before making health care decisions.3 Social networks hold considerable

Klein, Ophir

346

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

347

Outsourcing Privacy-PreservingOutsourcing Privacy-PreservingOutsourcing Privacy-PreservingOutsourcing Privacy-Preserving Social Networks to a CloudSocial Networks to a CloudSocial Networks to a CloudSocial Networks to a Cloud  

E-print Network

Outsourcing Privacy-Preserving Social Networks to a CloudSocial Networks to a CloudSocial Networks to a CloudOutsourcing Privacy-PreservingOutsourcing Privacy-PreservingOutsourcing Privacy-Preserving University Calumet, USA 2013-4-18 #12;IntroductionIntroductionIntroductionIntroduction #12;Cloud Computing

Wu, Jie

348

SociaLite: Datalog Extensions for Efficient Social Network Analysis  

E-print Network

SociaLite: Datalog Extensions for Efficient Social Network Analysis Jiwon Seo Stephen Guo Monica S for a wide range of applications. Social network analysis encompasses topics such as ranking the nodes, developers resort to using general-purpose languages, such as Java, for social network analysis. Not only

Pratt, Vaughan

349

THE SNARE ARCHITECTURE OVERVIEW Social Network Analysis and Reengineering Environment  

E-print Network

THE SNARE ARCHITECTURE OVERVIEW Social Network Analysis and Reengineering Environment Alexandre,1000-029 Lisboa, Portugal alexandrebarao@yahoo.com, alberto.silva@acm.org Keywords: Social network analysis, and proposes the SNARE system, short for "Social Network Analysis and Reengineering Environment". The SNARE

da Silva, Alberto Rodrigues

350

Self-adjusting Hybrid Recommenders Based on Social Network Analysis  

E-print Network

Self-adjusting Hybrid Recommenders Based on Social Network Analysis Alejandro Bellogín, Pablo- ommendation time, based on social network analysis algorithms. We show empirical results where our approach by using social network analysis to balance the influence of each recommender. We report empirical results

Bellogin, Alejandro

351

APPLYING SOCIAL NETWORK ANALYSIS TO KNOWLEDGE PETER BUSCH  

E-print Network

1 APPLYING SOCIAL NETWORK ANALYSIS TO KNOWLEDGE MANAGEMENT PETER BUSCH Department of Computing means of gauging the flows of knowledge between groups of people, is that of Social Network Analysis., (1991) Social Network Analysis: A handbook Sage Publications London U.K. Von Krogh, Georg; Ichijo, Kazuo

Richards, Debbie

352

Social Network Analysis for Automatic Role Recognition 4931 (2010)  

E-print Network

Social Network Analysis for Automatic Role Recognition TH`ESE No 4931 (2010) PRESENT´EE LE 8 of our knowledge, this is the first work where social network analysis is applied to automatic analysis have been published in one journal paper, and in five conference articles. Keywords: Social Network

353

A social network analysis of business logistics and transportation  

Microsoft Academic Search

Introduces social network analysis techniques to business logistics and transportation. The case study has two specific goals. First, it introduces social network analysis techniques to the business logistics and transportation community as a useful tool with which to study the dynamic flows of communication between members of a social network. Second, it describes a wide variety of techniques and then

Diane M. Phillips; Jason Keith Phillips

1998-01-01

354

Statistical Analysis of Social Networks Krista J. Gile  

E-print Network

24, 2013 #12;Social Network Analysis [1] Collaborators: � Isabelle Beaudry, UMass Amherst � Elena://www.math.umass.edu/~ gile #12;Social Network Analysis [2] Career Path (how it felt) math people q q q q qqqHigh School College M.S. Work PhD, Postdoc Faculty #12;Social Network Analysis [3] Career Path (employer version

Gile, Krista J.

355

Social networks, stress and health-related quality of life  

Microsoft Academic Search

Although evidence suggests that social networks reduce the risk of mortality and are negatively associated with severe mental disability, little is known about their relationship to everyday functioning and health-related quality of life (HRQoL). In addition, the importance of social networks in the presence of chronic stress remains unclear. We examined the association between social networks and aspects of mental

H. Achat; I. Kawachi; S. Levine; C. Berkey; E. Coakley; G. Colditz

1998-01-01

356

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

357

University campus social network system for knowledge sharing  

Microsoft Academic Search

Public online social network services have achieved dazzling success in recent years. As a result, vertical social network services for universities' are expected warmly by campus users. As the majority of activities in university campus knowledge-intensive, one of the core functions of campus social network system is to facilitate knowledge sharing. In the cyberspace of universities, knowledge is stored in

Zhao Du; Xiaolong Fu; Can Zhao; Ting Liu

2012-01-01

358

Hybrid Social Media Network Dept. of Electrical Engineering  

E-print Network

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

Chang, Shih-Fu

359

Differentiating Specialists and Generalists Within College Students' Social Support Networks.  

ERIC Educational Resources Information Center

An alternative scoring method for the Social Support Questionnaire was used to examine relationships among social network structure, support types and satisfaction determinants. College students' social networks consisted of nuclear, and other, family; friends; and others. Proportion of support network occupied by nuclear family was positively

Bogat, G. Anne; And Others

1985-01-01

360

MATH 100 Topic Analyzing Your Social Network Data  

E-print Network

), Ireland-based statisticians (cyan), social network statisticians (black) and Norwegians (grey)." august), social network statisticians (black) and Norwegians (grey). ere are several unsurprising aspectsMATH 100 Topic Analyzing Your Social Network Data Lulu Kang E1-105B, lkang2@math

Fasshauer, Greg

361

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

362

Mr. Privacy: Open and Federated Social Networking Using Email  

E-print Network

also give the social networking partner de- tailed knowledge of our browsing history and everything, privacy in social networks has received significant media attention. There are currently various attemptsMr. Privacy: Open and Federated Social Networking Using Email Michael Fischer T. J. Purtell Ruven

Lam, Monica

363

Cooperative behavior cascades in human social networks  

PubMed Central

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

Fowler, James H.; Christakis, Nicholas A.

2010-01-01

364

Information spreading on dynamic social networks  

NASA Astrophysics Data System (ADS)

Nowadays, information spreading on social networks has triggered an explosive attention in various disciplines. Most of previous works in this area mainly focus on discussing the effects of spreading probability or immunization strategy on static networks. However, in real systems, the peer-to-peer network structure changes constantly according to frequently social activities of users. In order to capture this dynamical property and study its impact on information spreading, in this paper, a link rewiring strategy based on the Fermi function is introduced. In the present model, the informed individuals tend to break old links and reconnect to their second-order friends with more uninformed neighbors. Simulation results on the susceptible-infected-recovered (SIR) model with fixed recovery time T=1 indicate that the information would spread more faster and broader with the proposed rewiring strategy. Extensive analyses of the information cascade size distribution show that the spreading process of the initial steps plays a very important role, that is to say, the information will spread out if it is still survival at the beginning time. The proposed model may shed some light on the in-depth understanding of information spreading on dynamical social networks.

Liu, Chuang; Zhang, Zi-Ke

2014-04-01

365

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

366

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

367

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

368

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

369

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 persons attitudes and behaviors affect anothers) 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

370

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

371

An Approach for Protecting Privacy on Social Networks  

Microsoft Academic Search

Social networking has become a part of our life. We redundantly share our personal information with people in social networks and Internet. These networks allow users to share just about everything: data, photos, videos, favorite music, status updates, and more applications. Sharing large amounts of information causes privacy and security problems for users in these networks. To prevent privacy problems,

Asim S. Yuksel; Abdl Halim Zaim

2010-01-01

372

Friendship Based Routing in Delay Tolerant Mobile Social Networks  

Microsoft Academic Search

Routing in delay tolerant networks (DTN) have attracted a great interest recently. Increasingly popular type of DTNs are mobile social networks (MSN) also called pocket switched networks. Hence, analyzing accurately social network properties has become an important issue in designing efficient routing protocols for MSNs. In this paper, we first introduce a new metric for detecting the quality of friendships

Eyuphan Bulut; Boleslaw K. Szymanski

2010-01-01

373

Graph data partition models for online social networks  

Microsoft Academic Search

Online social networks have become important vehicles for connecting people for work and leisure. As these networks grow, data that are stored over these networks also grow, and management of these data becomes a challenge. Graph data models are a natural fit for representing online social networks but need to support distribution to allow the associated graph databases to scale

Prima Chairunnanda; Simon Forsyth; Khuzaima Daudjee

2012-01-01

374

Recommending collaboration with social networks: a comparative evaluation  

Microsoft Academic Search

Studies of information seeking and workplace collaboration often find that social relationships are a strong factor in determining who collaborates with whom. Social networks provide one means of visualizing existing and potential interaction in organizational settings. Groupware designers are using social networks to make systems more sensitive to social situations and guide users toward effective collaborations. Yet, the implications of

David W. McDonald

2003-01-01

375

Semantic Image Retrieval Model for Sharing Experiences in Social Networks  

Microsoft Academic Search

Increasing numbers of people use social networks for keeping consistent contact with social life and acquaintances; sharing experiences became one of the most important requirement driving social networks. Users mostly use the media gathered during events, while sharing them socially. In this paper, we propose a semantic based model that involves several domain-based shared ontologies and use them to investigate

A. Apaydin; Duygu elik; A. Eli

2010-01-01

376

Building common ground and reciprocity through social network games  

Microsoft Academic Search

Social network games (SNG) are an extremely popular and rapidly growing application of social network sites (SNS). But are SNGs really social? A survey based on a social cognitive theory approach to uses and gratifications revealed that people are motivated to play the game to create common ground, reciprocate, cope, and pass time. People play SNGs to create common ground

D. Yvette Wohn; Yu-hao Lee; Jieun Sung; Torger Bjornrud

2010-01-01

377

Challenges in mining social network data: processes, privacy, and paradoxes  

Microsoft Academic Search

The profileration of rich social media, on-line communities, and collectively produced knowledge resources has accelerated the convergence of technological and social networks, producing environments that reflect both the architecture of the underlying information systems and the social structure on their members. In studying the consequences of these developments, we are faced with the opportunity to analyze social network data at

Jon M. Kleinberg

2007-01-01

378

Keyword-based Correlated Network Computation over Large Social Media  

E-print Network

and edges represent relationships between entities of the social media. Discovering keyword-based correlatedKeyword-based Correlated Network Computation over Large Social Media Jianxin Li Swinburne- liferation of social media, e.g., millions of blog posts, micro- blog posts, and social networks

Liu, Chengfei

379

Associative face co-occurrence networks for recommending friends in social networks  

Microsoft Academic Search

In social network services, which have become widely used as an important tool to share rich information, making new friends is the most basic functionality to enable users to take advantage of their social networks. However, in current social network services, making new friends still relies on manually browsing networks of current friends. Even though the most services try to

Heung-Nam Kim; Jin-Guk Jung; Abdulmotaleb El Saddik

2010-01-01

380

Social network correlates of self-reported non-fatal overdose.  

PubMed

The leading cause of death among heroin users is drug overdose. The present study examined the relationship between history of self-reported drug overdoses and social network characteristics among cocaine and opiate users. Data were from cross-sectional surveys administered from March 2001 through February 2003 as part of follow-up of an experimental network oriented HIV prevention intervention. A total of 838 participants with histories of cocaine and opiate use completed the survey. Several social network variables were found to be significantly associated with drug overdose in the prior 2 years, including larger number of network members who were injection drug users and a larger number of conflictual ties among the network members. Even after controlling for age, gender, frequency of injection drug and alcohol use, and health status, network variables continued to have a strong association with history of recent overdose. These data suggest that large drug networks should be targeted for drug overdose prevention interventions. PMID:14687960

Latkin, Carl A; Hua, Wei; Tobin, Karin

2004-01-01

381

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

382

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, Matja

2009-05-01

383

Social network based microblog user behavior analysis  

NASA Astrophysics Data System (ADS)

The influence of microblog on information transmission is becoming more and more obvious. By characterizing the behavior of following and being followed as out-degree and in-degree respectively, a microblog social network was built in this paper. It was found to have short diameter of connected graph, short average path length and high average clustering coefficient. The distributions of out-degree, in-degree and total number of microblogs posted present power-law characters. The exponent of total number distribution of microblogs is negatively correlated with the degree of each user. With the increase of degree, the exponent decreases much slower. Based on empirical analysis, we proposed a social network based human dynamics model in this paper, and pointed out that inducing drive and spontaneous drive lead to the behavior of posting microblogs. The simulation results of our model match well with practical situation.

Yan, Qiang; Wu, Lianren; Zheng, Lan

2013-04-01

384

Social Diffusion and Global Drift on Networks  

E-print Network

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 correlat...

Sayama, Hiroki

2014-01-01

385

Becoming Friends on Online Social Networking Services  

Microsoft Academic Search

\\u000a The internet has become an effective tool in communication, and SNS (Social Networking Service), such as Facebook or Twitter,\\u000a that allows anyone to disclose a variety of specific personal information. The purpose of the present study is to identify\\u000a which profile factors provided SNS users (or viewers) with a positive first impression. Results from study 1, the three factors\\u000a -

Wonmi Ahn; Borum Kim; Kwang-Hee Han

386

Understanding video propagation in online social networks  

Microsoft Academic Search

Recent statistics suggest that online social network (OSN) users regularly share video contents from video sharing sites (VSSes), and a significant amount of views of VSSes are indeed from OSN users nowadays. By crawling and comparing the statistics of same videos shared in both RenRen (the largest Facebook-like OSN in China) and Youku (the largest Youtube-like VSS in China), we

Haitao Li; Jiangchuan Liu; Ke Xu; Song Wen

2012-01-01

387

Security and Privacy in Online Social Networks  

Microsoft Academic Search

\\u000a \\u000a 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\\u000a to that caused by the deployment of World Wide Web in the 1990s.

Leucio Antonio Cutillo; Mark Manulis; Thorsten Strufe

2010-01-01

388

Social networking technology and the virtues  

Microsoft Academic Search

This paper argues in favor of more widespread and systematic applications of a virtue-based normative framework to questions\\u000a about the ethical impact of information technologies, and social networking technologies in particular. The first stage of\\u000a the argument identifies several distinctive features of virtue ethics that make it uniquely suited to the domain of IT ethics,\\u000a while remaining complementary to other

Shannon Vallor

2010-01-01

389

Mobile Social Networking and the News  

Microsoft Academic Search

\\u000a In recent years, mainstream media coverage has integrated mobile social networking and micro-blogging tools such as Facebook\\u000a and Twitter. These interactive communication channels have transformed our interpersonal relationships as well as our links\\u000a with organizations and content including news and entertainment. In particular, our experience of the news has become mediated\\u000a through these platforms. These tools have transformed one-way transmission

Laura Forlano

390

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

391

The Role of Social Networks in the Economic Opportunities of Bolivian Women  

Microsoft Academic Search

This paper explores the role of social networks in determining the participation of Bolivian women in income-generating activities. The empirical analysis intends to explore the impact of this new social variable on the economic choices of women and its relative importance with respect to other individual characteristics, such as education or number of children in the household. The empirical framework

Dante Contreras; Daniela Zapata; Diana Kruger; Marcelo Ochoa

2007-01-01

392

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

393

On The Elite of Social Networks  

E-print Network

In many communities there is an "elite", a relatively small group of participants that is well connected and highly influential. In order to understand the whole community and the underlying mechanisms it is hence very helpful to study the characteristics and the emergence of the elite. In the past it has been shown that various social networks exhibit surprisingly similar properties, like power law degree distributions, small diameter, many triangles, etc. In this paper we examine the x-elite of nine existing complex networks, where the x-elite consists of the x nodes with the highest degree out of all n nodes in the network. Based on this simple notion of importance, we investigate the structures these nodes form among each other and the rest of the network. We observe, in all networks we analyzed, that a small-sized elite containing about square root of n nodes forms a dense subgraph, is connected to a significant fraction of the outside nodes, consists of nodes that arrived to the network early, is more s...

Avin, Chen; Pignolet, Yvonne-Anne

2011-01-01

394

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

395

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).

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

2013-01-01

396

Recruitment dynamics in adaptive social networks  

NASA Astrophysics Data System (ADS)

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).

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

2013-06-01

397

Approaches for user profile Investigation in Orkut Social Network  

E-print Network

Internet becomes a large and rich repository of information about us as individually. Any thing form user profile information to friends links the user subscribes to are reflection of social interactions as user has in real worlds. Social networking has created new ways to communicate and share information. Social networking websites are being used regularly by millions of people, and it now seems that social networking will be an enduring part of everyday life. Social networks such as Orkut, Bebo, MySpace, Flickr, Facebook, Friendster and LinkedIn, have attracted millions of internet user who are involved in bogging, participatory book reviewing, personal networking and photo sharing. Social network services are increasingly being used in legal and criminal investigations. Information posted on sites such as Orkut and Facebook has been used by police, probation, and university officials to prosecute users of said sites. In some situations, content posted on web social network has been used in court. In the p...

Singh, Rajni Ranjan

2009-01-01

398

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

399

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

400

Interindividual variability in social insects - proximate causes and ultimate consequences.  

PubMed

Individuals within social groups often show consistent differences in behaviour across time and context. Such interindividual differences and the evolutionary challenge they present have recently generated considerable interest. Social insects provide some of the most familiar and spectacular examples of social groups with large interindividual differences. Investigating these within-group differences has a long research tradition, and behavioural variability among the workers of a colony is increasingly regarded as fundamental for a key feature of social insects: division of labour. The goal of this review is to illustrate what we know about both the proximate mechanisms underlying behavioural variability among the workers of a colony and its ultimate consequences; and to highlight the many open questions in this research field. We begin by reviewing the literature on mechanisms that potentially introduce, maintain, and adjust the behavioural differentiation among workers. We highlight the fact that so far, most studies have focused on behavioural variability based on genetic variability, provided by e.g. multiple mating of the queen, while other mechanisms that may be responsible for the behavioural differentiation among workers have been largely neglected. These include maturational, nutritional and environmental influences. We further discuss how feedback provided by the social environment and learning and experience of adult workers provides potent and little-explored sources of differentiation. In a second part, we address what is known about the potential benefits and costs of increased behavioural variability within the workers of a colony. We argue that all studies documenting a benefit of variability so far have done so by manipulating genetic variability, and that a direct test of the effect of behavioural variability on colony productivity has yet to be provided. We emphasize that the costs associated with interindividual variability have been largely overlooked, and that a better knowledge of the cost/benefit balance of behavioural variability is crucial for our understanding of the evolution of the mechanisms underlying the social organization of insect societies. We conclude by highlighting what we believe to be promising but little-explored avenues for future research on how within-colony variability has evolved and is maintained. We emphasize the need for comparative studies and point out that, so far, most studies on interindividual variability have focused on variability in individual response thresholds, while the significance of variability in other parameters of individual response, such as probability and intensity of the response, has been largely overlooked. We propose that these parameters have important consequences for the colony response. Much more research is needed to understand if and how interindividual variability is modulated in order to benefit division of labour, homeostasis and ultimately colony fitness in social insects. PMID:24341677

Jeanson, Raphal; Weidenmller, Anja

2014-08-01

401

Social networks and careers of young adults with intellectual disabilities.  

PubMed

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 career development, in this study I explored the social networks of 5 young working people with intellectual disabilities. PMID:17472428

Eisenman, Laura T

2007-06-01

402

Knowledge Discovery and Information Visualization for Terrorist Social Networks  

Microsoft Academic Search

Terrorist social networks present information about the relationships between terrorists which is important for investigators\\u000a in combating the war of terrorism. A good analysis of terrorist social networks is essential for discovering knowledge about\\u000a the structure of terrorist organizations. Typical social network analysis techniques discover patterns of interactions between\\u000a social actors, for examples, detecting subgroup and identifying central individuals. Such

Christopher C. Yang

2008-01-01

403

Social network analysis in a movie using character-net  

Microsoft Academic Search

There have been various approaches to analyzing movie stories using social networks. Social network analysis is an effective\\u000a means to extract semantic information from movies. Movie analysis through social relationships among characters can support\\u000a various types of information retrieval better than audio-visual feature analysis. The relationships among characters form\\u000a the main structure of the story. Therefore, through social network analysis

Seung-Bo Park; Kyeong-Jin Oh; Geun-Sik Jo

404

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

405

Seeing things clearly: social structure, personality, and accuracy in social network perception  

Microsoft Academic Search

People differ in their ability to perceive accurately the informal patterns of interpersonal relationships in their social groups, i.e., the group's network structure. Existing research leaves us largely unable to explain the variation in accuracy in social network perception. This paper argues that the study of accuracy in social network perception should consider the effect of both situational factors and

Tiziana Casciaro

1998-01-01

406

Social Network Analysis and Simulation of the Development of Adversarial Razvan Orendovici, Computer Science and Engineering  

E-print Network

Social Network Analysis and Simulation of the Development of Adversarial Networks Razvan Orendovici, network science, social network analysis and measurement. 1.1 Motivation Social network analysis with recent popularity of social network analysis, has made a network centric analysis of these networks

Ritter, Frank

407

Modelling opinion formation driven communities in social networks  

NASA Astrophysics Data System (ADS)

In a previous paper we proposed a model to study the dynamics of opinion formation in human societies by a co-evolution process involving two distinct time scales of fast transaction and slower network evolution dynamics. In the transaction dynamics we take into account short range interactions as discussions between individuals and long range interactions to describe the attitude to the overall mood of society. The latter is handled by a uniformly distributed parameter ?, assigned randomly to each individual, as quenched personal bias. The network evolution dynamics is realised by rewiring the societal network due to state variable changes as a result of transaction dynamics. The main consequence of this complex dynamics is that communities emerge in the social network for a range of values in the ratio between time scales. In this paper we focus our attention on the attitude parameter ? and its influence on the conformation of opinion and the size of the resulting communities. We present numerical studies and extract interesting features of the model that can be interpreted in terms of social behaviour.

Iiguez, Gerardo; Barrio, Rafael A.; Kertsz, Jnos; Kaski, Kimmo K.

2011-09-01

408

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

ERIC Educational Resources Information Center

Focuses on the linkage between social support and social networks and health educational programs that involve interventions at the network and community level. Addresses programs enhancing entire networks through natural helpers; and programs strengthening overlapping networks/communities through key opinion and informal leaders who are engaged

Israel, Barbara A.

1985-01-01

409

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

410

Social Network Sites (SNS): do they match ? Definitions and methods for social sciences and marketing research  

E-print Network

1 Social Network Sites (SNS): do they match ? Definitions and methods for social sciences. This will be made possible thanks to a return to core disciplines in human and social sciences (mainly history and marketing research Abstract : Social Networks Sites (SNS) such as Facebook, MySpace, Skyrock.com or Linkedin

Paris-Sud XI, Université de

411

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

412

Potential banana skins in animal social network analysis  

Microsoft Academic Search

Social network analysis is an increasingly popular tool for the study of the fine-scale and global social structure of animals.\\u000a It has attracted particular attention by those attempting to unravel social structure in fissionfusion populations. It is\\u000a clear that the social network approach offers some exciting opportunities for gaining new insights into social systems. However,\\u000a some of the practices which

Richard James; Darren P. Croft; Jens Krause

2009-01-01

413

SIHR rumor spreading model in social networks  

NASA Astrophysics Data System (ADS)

There are significant differences between rumor spreading and epidemic spreading in social networks, especially with consideration of the mutual effect of forgetting and remembering mechanisms. In this paper, a new rumor spreading model, Susceptible-Infected-Hibernator-Removed (SIHR) model, is developed. The model extends the classical Susceptible-Infected-Removed (SIR) rumor spreading model by adding a direct link from ignorants to stiflers and a new kind of people-Hibernators. We derive mean-field equations that describe the dynamics of the SIHR model in social networks. Then a steady-state analysis is conducted to investigate the final size of the rumor spreading under various spreading rate, stifling rate, forgetting rate, and average degree of the network. We discuss the spreading threshold and find the relationship between the final size of the rumor and two probabilities. Also Runge-Kutta method is used for numerical simulation which shows that the direct link from the ignorants to the stiflers advances the rumor terminal time and reduces the maximum rumor influence. Moreover, the forgetting and remembering mechanisms of hibernators postpone the rumor terminal time and reduce the maximum rumor influence.

Zhao, Laijun; Wang, Jiajia; Chen, Yucheng; Wang, Qin; Cheng, Jingjing; Cui, Hongxin

2012-04-01

414

Cost Effective Rumor Containment in Social Networks  

E-print Network

The spread of rumors through social media and online social networks can not only disrupt the daily lives of citizens but also result in loss of life and property. A rumor spreads when individuals, who are unable decide the authenticity of the information, mistake the rumor as genuine information and pass it on to their acquaintances. We propose a solution where a set of individuals (based on their degree) in the social network are trained and provided resources to help them distinguish a rumor from genuine information. By formulating an optimization problem we calculate the optimum set of individuals, who must undergo training, and the quality of training that minimizes the expected training cost and ensures an upper bound on the size of the rumor outbreak. Our primary contribution is that although the optimization problem turns out to be non convex, we show that the problem is equivalent to solving a set of linear programs. This result also allows us to solve the problem of minimizing the size of rumor outb...

Kotnis, Bhushan

2014-01-01

415

Does Habitat Variability Really Promote Metabolic Network Modularity?  

PubMed Central

The hypothesis that variability in natural habitats promotes modular organization is widely accepted for cellular networks. However, results of some data analyses and theoretical studies have begun to cast doubt on the impact of habitat variability on modularity in metabolic networks. Therefore, we re-evaluated this hypothesis using statistical data analysis and current metabolic information. We were unable to conclude that an increase in modularity was the result of habitat variability. Although horizontal gene transfer was also considered because it may contribute for survival in a variety of environments, closely related to habitat variability, and is known to be positively correlated with network modularity, such a positive correlation was not concluded in the latest version of metabolic networks. Furthermore, we demonstrated that the previously observed increase in network modularity due to habitat variability and horizontal gene transfer was probably due to a lack of available data on metabolic reactions. Instead, we determined that modularity in metabolic networks is dependent on species growth conditions. These results may not entirely discount the impact of habitat variability and horizontal gene transfer. Rather, they highlight the need for a more suitable definition of habitat variability and a more careful examination of relationships of the network modularity with horizontal gene transfer, habitats, and environments. PMID:23593470

Takemoto, Kazuhiro

2013-01-01

416

A quantitative methodology to identify relevant users in social networks  

Microsoft Academic Search

Social networks are gaining an increasing popularity on the Internet, with tens of millions of registered users and an amount of exchanged contents accounting for a large fraction of the Internet traffic. Due to this popularity, social networks are becoming a critical media for business and marketing, as testified by viral advertisement campaigns based on such networks. To exploit the

Claudia Canali; Sara Casolari; Riccardo Lancellotti

2010-01-01

417

Friendship Based Routing in Delay Tolerant Mobile Social Networks  

E-print Network

as a result of the rapid and wide spread usage of different kinds of devices (e.g., cell phones, GPS devicesFriendship Based Routing in Delay Tolerant Mobile Social Networks Eyuphan Bulut and Boleslaw K of DTNs are mobile social networks (MSN) also called pocket switched networks. Hence, analyzing accurately

Varela, Carlos

418

The Changing Nature of Suicide Attacks: A Social Network Perspective  

ERIC Educational Resources Information Center

To comprehend the developments underlying the suicide attacks of recent years, we suggest that the organizational approach, which until recently was used to explain this phenomenon, should be complemented with a social network perspective. By employing a social network analysis of Palestinian suicide networks, the authors found that, in contrast

Pedahzur, Ami; Perliger, Arie

2006-01-01

419

The clustering of Internet, Internet of Things and social network  

Microsoft Academic Search

Information, objects and people are three major macro elements in the human society. Their inner relations can be reflected by the Internet, the Internet of Things and social network, respectively. Normally, these three networks do not work together. This paper proposes a platform to cluster the Internet, the Internet of Things and social network together. The clustering will promote the

Lianhong Ding; Peng Shi; Bingwu Liu

2010-01-01

420

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

421

Selection in the social network: effects of chronic diseases  

Microsoft Academic Search

Background: this article deals with the consequences of disease for someone's personal social network. It is hypothesized that the duration of a socially severe disease will affect the social network in such a way that the proportions of women, kin, long-standing relationships and people living nearby are higher for people suffering from a disease longer. Contacts with colleagues will decline.

M. A. R. Tijhuis; HENK D. FLAP; MARLEEN FOETS; PETER P. GROENEWEGEN

1998-01-01

422

Mass media influence spreading in social networks with community structure  

Microsoft Academic Search

We study an extension of Axelrod's model for social influence, in which cultural drift is represented as random perturbations, while mass media are introduced by means of an external field. In this scenario, we investigate how the modular structure of social networks affects the propagation of mass media messages across a society. The community structure of social networks is represented

Julin Candia; Karina I. Mazzitello

2008-01-01

423

A Gossip-Based Distributed Social Networking System  

Microsoft Academic Search

Abstract Social networking web sites, which allow users to create identities and link them to friends who have also created identities, are highly popular. Systems such as Facebook and MySpace utilize a traditional client-server approach to achieve this, which means that all identities and their social links (the entire social network) are stored and administered on central servers. Although this

S. M. A. Abbas; Johan A. Pouwelse; Dick H. J. Epema; Henk J. Sips

2009-01-01

424

Social networks and undocumented Mozambican migration to South Africa  

Microsoft Academic Search

This paper analyses the social networks which facilitate and sustain undocumented migration from Mozambique to South Africa. A key contention is that the migrant social networks are not limited to a spatially bounded area; transcend geography, location and territory; can be considered as spatial conveyors of social capital; and operate transnationally at three different locations: in the sending communities, on

Ramos Cardoso Muanamoha; Brij Maharaj; Eleanor Preston-Whyte

2010-01-01

425

Disk Layout Techniques for Online Social Network Data  

Microsoft Academic Search

Social networking applications' disk access patterns differ from those of traditional applications. However, today's disk layout techniques aren't adapted to social networking workloads, and thus their performance suffers. The authors' disk layout techniques leverage community structure in a social graph to make placement decisions that optimize read latency. Their layout manager, Bondhu, incorporates these techniques and is integrated into the

Imranul Hoque; Indranil Gupta

2012-01-01

426

Modelling and Reasoning Languages for Social Networks Policies  

E-print Network

Modelling and Reasoning Languages for Social Networks Policies Guido Governatori and Renato.governatori,renato}@nicta.com.au Abstract--Policy languages (such as privacy and rights) have had little impact on the wider community. Now that Social Networks have taken off, the need to revisit Policy languages and realign them towards Social

Governatori, Guido

427

Social networks that matter: Twitter under the microscope  

Microsoft Academic Search

Scholars, advertisers and political activists see massive online so- cial networks as a representation of social interactions that can be used to study the propagation of ideas, social bond dynamics and viral mar- keting, among others. But the linked structures of social networks do not reveal actual interactions among people. Scarcity of attention and the daily rythms of life and

Bernardo A. Huberman; Daniel M. Romero; Fang Wu

2008-01-01

428

Social Network Analysis in Military Headquarters using CAVALIER  

Microsoft Academic Search

Social Network Analysis is a branch of mathematical social science (focusing on the relation- ships between people and\\/or groups) which we intend to apply to military organisations (in particular military headquarters). In this paper, we discuss the use of Social Network Analysis in analysing such organisations in order to make recommendations about work practices, and to suggest new placements of

Anthony Dekker

2000-01-01

429

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

430

The YouTube Social Network Mirjam Wattenhofer  

E-print Network

popularity. These observations lead to the conjecture that a new class of social network is emerging, a typeThe YouTube Social Network Mirjam Wattenhofer Google Zurich mirjam@google.com Roger Wattenhofer ETH information. A ma- jor contribution to its success comes from the user-to- user social experience

Tomkins, Andrew

431

Analysis of Topological Characteristics of Huge Online Social Networking Services  

E-print Network

and their growth patterns are the same as in real-life social net- works. In this paper, we compare the structures that cannot be easily copied in real life; we show that they deviate from close-knit online social networks which show a similar de- gree correlation pattern to real-life social networks. Categories and Subject

Jeong, Hawoong

432

Online Team Formation in Social Networks Aris Anagnostopoulos1  

E-print Network

different skills and compatibility among potential team members is modeled by a social network. A sequence; the Spanish Ministry of Science and Innovation (project CEN-20101037 Social Media and Torres Quevedo programmeOnline Team Formation in Social Networks Aris Anagnostopoulos1 aris@dis.uniroma1.it Luca Becchetti1

Leonardi, Stefano

433

Legal Risks for Students Using Social Networking Sites  

ERIC Educational Resources Information Center

There are significant privacy, intellectual property, copyright and disclosure risks associated with the ill-considered use of social networking sites, however, the implementation of regulatory actions may also undermine the social and emerging educational utility of social networking sites for young people. Inevitably the burden of dealing with

Henderson, Michael; de Zwart, Melissa; Lindsay, David; Phillips, Michael

2010-01-01

434

Assessing Group Interaction with Social Language Network Analysis  

NASA Astrophysics Data System (ADS)

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.

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

435

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

436

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

437

Optimizing online social networks for information propagation.  

PubMed

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

438

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

439

Relationship classification in large scale online social networks and its impact on information propagation  

Microsoft Academic Search

In this paper, we study two tightly coupled topics in online social networks (OSN): relationship classification and information propagation. The links in a social network often reflect social relationships among users. In this work, we first investigate identifying the relationships among social network users based on certain social network property and limited pre- known information. Social networks have been widely

Shaojie Tang; Jing Yuan; Xufei Mao; Xiang-Yang Li; Wei Chen; Guojun Dai

2011-01-01

440

Social Network Status and Depression Among Adolescents: An Examination of Social Network Influences and Depressive Symptoms in a Chinese Sample  

Microsoft Academic Search

Examination of social networks may provide some insight into the role of peers in the vulnerability of some adolescents to depression. Social network data was incorporated into multilevel models of depressive symptoms from a large sample of Chinese adolescents. Being nominated as a friend was more important than being nominated as most liked. Network centrality was associated with depression. The

Janet Okamoto; C. Anderson Johnson; Adam Leventhal; Joel Milam; Mary Ann Pentz; David Schwartz; Thomas W. Valente

2011-01-01

441

Social Network Analysis in Multimedia Indexing: Making Sense of People in Multiparty Recordings  

E-print Network

Social Network Analysis in Multimedia Indexing: Making Sense of People in Multiparty Recordings, namely Social Networks Analysis (SNA), developed by sociologists to analyze social interac- tions. Keywords: Social Network Analysis, Role Recognition, Story Segmentation, Broadcast data, Meeting Recordings

442

Community Evolution of Social Network: Feature, Algorithm and Model  

E-print Network

Researchers have devoted themselves to exploring static features of social networks and further discovered many representative characteristics, such as power law in the degree distribution and assortative value used to differentiate social networks from nonsocial ones. However, people are not satisfied with these achievements and more and more attention has been paid on how to uncover those dynamic characteristics of social networks, especially how to track community evolution effectively. With these interests, in the paper we firstly display some basic but dynamic features of social networks. Then on its basis, we propose a novel core-based algorithm of tracking community evolution, CommTracker, which depends on core nodes to establish the evolving relationships among communities at different snapshots. With the algorithm, we discover two unique phenomena in social networks and further propose two representative coefficients: GROWTH and METABOLISM by which we are also able to distinguish social networks from...

Wang, Yi; Du, Nan

2008-01-01

443

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

444

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-Jrg; Dimicco, Joan M.

445

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

446

The Role of Social Networks and Internet-based Virtual Environment in Social Entrepreneurship: A Conceptual Model  

Microsoft Academic Search

We present a parsimonious theoretical model that illustrates how Internet-based virtual environments (such as social networking Web sites) moderate the relationship between social networks and social entrepreneurship. Social networks promote social entrepreneurship by means of (a) technology and knowledge transfer; (b) locating information; (c) generating entrepreneurial opportunities; (d) building entrepreneurial competency; (e) financing innovation; and (f) building effective networks for

Avimanya Datta; Len Jessup

2009-01-01

447

iSchools and Social Identity A Social Network Analysis of the IST community at an Inter-group Level  

E-print Network

iSchools and Social Identity ­ A Social Network Analysis of the IST community at an InterSchools, Social Network Analysis, Academic Collaboration 14. INTRODUCTION The term "Social Network" initially, the field of Social Network Analysis (SNA) is picking up momentum [7].By leveraging the visualization

448

A social network analysis of customer-level revenue distribution  

Microsoft Academic Search

Social network analysis has been a topic of regular interest in the marketing discipline. Previous studies have largely focused\\u000a on similarities in product\\/brand choice decisions within the same social network, often in the context of product innovation\\u000a adoption. Not much is known, however, about the importance of social network effects once customers have been acquired. Using\\u000a the customer base of

Michael Haenlein

2011-01-01

449

A Concept of Location-Based Social Network Marketing  

Microsoft Academic Search

A stimulus-response model of location-based social network marketing is conceptualized based on an exploratory investigation. Location-based social network applications are capable of generating marketing stimuli from merchant, competition-based, and connection-based rewards resulted from relevance and connectivity. Depending on consumption situations, consumer characteristics, and social network structure, these rewards lead to actual behavior that manifests in variety behavior (i.e., patronage to

Iis P. Tussyadiah

2012-01-01

450

Learning modular structures from network data and node variables  

E-print Network

A standard technique for understanding underlying dependency structures among a set of variables posits a shared conditional probability distribution for the variables measured on individuals within a group. This approach is often referred to as module networks, where individuals are represented by nodes in a network, groups are termed modules, and the focus is on estimating the network structure among modules. However, estimation solely from node-specific variables can lead to spurious dependencies, and unverifiable structural assumptions are often used for regularization. Here, we propose an extended model that leverages direct observations about the network in addition to node-specific variables. By integrating complementary data types, we avoid the need for structural assumptions. We illustrate theoretical and practical significance of the model and develop a reversible-jump MCMC learning procedure for learning modules and model parameters. We demonstrate the method accuracy in predicting modular structur...

Azizi, Elham; Airoldi, Edoardo M

2014-01-01

451

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

452

Understanding the impact of socialbot attacks in online social networks  

E-print Network

Online social networks (OSN) like Twitter or Facebook are popular and powerful since they allow reaching millions of users online. They are also a popular target for socialbot attacks. Without a deep understanding of the impact of such attacks, the potential of online social networks as an instrument for facilitating discourse or democratic processes is in jeopardy. In this extended abstract we present insights from a live lab experiment in which social bots aimed at manipulating the social graph of an online social network, in our case Twitter. We explored the link creation behavior between targeted human users and our results suggest that socialbots may indeed have the ability to shape and influence the social graph in online social networks. However, our results also show that external factors may play an important role in the creation of social links in OSNs.

Mitter, Silvia; Strohmaier, Markus

2014-01-01

453

Survey on Social Networking Site for Engineering Management Program  

E-print Network

Social Networking Sites (SNSs) such as Facebook, LinkedIn and Twitter have gained much popularity as Web 2.0 technologies and have been widely adopted by different age groups from teenagers to students to working professionals. Consequently, social...

Mokkarala, Rajyalakshmi Sirisha

2012-07-27

454

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

455

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

456

Social network analysis of animal behaviour: a promising tool for the study of sociality  

Microsoft Academic Search

Social animals live and interact together, forming complex relationships and social structure. These rela- tionships can have important fitness consequences, but most studies do not explicitly measure those rela- tionships. An approach that explicitly measures relationships will further our understanding of social complexity and the consequences of both direct and indirect interactions. Social network analysis is the study of social

Tina W Ey; D Aniel T. Blumstein; W Eiwei Shen; Ferenc Jorda N

457

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.

458

Balancing Systematic and Flexible Exploration of Social Networks  

Microsoft Academic Search

Social network analysis (SNA) has emerged as a powerful method for understanding the importance of relationships in networks. However, interactive exploration of networks is currently challenging because: (1) it is difficult to find patterns and comprehend the structure of networks with many nodes and links, and (2) current systems are often a medley of statistical methods and overwhelming visual output

Adam Perer; Ben Shneiderman

2006-01-01

459

Visualizing patent statistics by means of social network analysis tools  

Microsoft Academic Search

The present paper reviews the literature on social network analysis with applications to bibliometric data, and in particular, patent information. Several approaches of network analysis are conducted in the field of optoelectronics to exemplify the power of network analysis tools. Cooperation networks between inventors and applicants are illustrated, emphasizing bibliometric measures such as activity, citation frequency, etc. as well as

Christian Sternitzke; Adam Bartkowski; Reinhard Schramm

2008-01-01

460

Analyzing covert social network foundation behind terrorism disaster  

E-print Network

This paper addresses a method to analyze the covert social network foundation hidden behind the terrorism disaster. It is to solve a node discovery problem, which means to discover a node, which functions relevantly in a social network, but escaped from monitoring on the presence and mutual relationship of nodes. The method aims at integrating the expert investigator's prior understanding, insight on the terrorists' social network nature derived from the complex graph theory, and computational data processing. The social network responsible for the 9/11 attack in 2001 is used to execute simulation experiment to evaluate the performance of the method.

Maeno, Yoshiharu

2007-01-01

461

Identifying Leaders and Followers in Online Social Networks  

E-print Network

Identifying Leaders and Followers in Online Social Networks M. Zubair Shafiq, Student Member, IEEE as input user interaction information and clusters users into four categories: introvert leaders, extrovert

Radha, Hayder

462

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

NASA Astrophysics Data System (ADS)

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

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

463

Dynamic intimate contact social networks and epidemic interventions  

Microsoft Academic Search

Sexually transmitted diseases and infections are, by definition, transferred among intimate social settings. Although the circumstances under which these social settings are established and maintained may vary, the common prerequisite remains an intimate level of social atmosphere. For this reason, the development of sexually transmitted disease mathematical and computational models must utilise dynamic and evolving social network simulation. This paper

Courtney D. Corley; Armin R. Mikler; Diane J. Cook; Karan P. Singh

2008-01-01

464

Dimensionality of social networks using motifs and eigenvalues.  

PubMed

We consider the dimensionality of social networks, and develop experiments aimed at predicting that dimension. We find that a social network model with nodes and links sampled from an m-dimensional metric space with power-law distributed influence regions best fits samples from real-world networks when m scales logarithmically with the number of nodes of the network. This supports a logarithmic dimension hypothesis, and we provide evidence with two different social networks, Facebook and LinkedIn. Further, we employ two different methods for confirming the hypothesis: the first uses the distribution of motif counts, and the second exploits the eigenvalue distribution. PMID:25188391

Bonato, Anthony; Gleich, David F; Kim, Myunghwan; Mitsche, Dieter; Pra?at, Pawe?; Tian, Yanhua; Young, Stephen J

2014-01-01

465

Dimensionality of social networks using motifs and eigenvalues  

E-print Network

We consider the dimensionality of social networks, and develop experiments aimed at predicting that dimension. We find that a social network model with nodes and links sampled from an $m$-dimensional metric space with power-law distributed influence regions best fits samples from real-world networks when $m$ scales logarithmically with the number of nodes of the network. This supports a logarithmic dimension hypothesis, and we provide evidence with two different social networks, Facebook and LinkedIn. Further, we employ two different methods for confirming the hypothesis: the first uses the distribution of motif counts, and the second exploits the eigenvalue distribution.

Bonato, Anthony; Kim, Myunghwan; Mitsche, Dieter; Pra?at, Pawe?; Tian, Amanda; Young, Stephen J

2014-01-01

466

Social NetworkingAnother 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

467

SoNARS: A Social Networks-Based Algorithm for Social Recommender Systems  

Microsoft Academic Search

User modeling systems have been influenced by the overspread of Web 2.0 and social networks. New systems aimed at helping\\u000a people finding information of interest and including social functions like social networks, tagging, commenting, inserting\\u000a content, arose. Such systems are the so-called social recommender systems. The idea at the base of social recommender systems\\u000a is that the recommendation of content

Francesca Carmagnola; Fabiana Vernero; Pierluigi Grillo

2009-01-01

468

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

469

Agent-based simulations of emotion spreading in online social networks  

E-print Network

Quantitative analysis of empirical data from online social networks reveals group dynamics in which emotions are involved (\\v{S}uvakov et al). Full understanding of the underlying mechanisms, however, remains a challenging task. Using agent-based computer simulations, in this paper we study dynamics of emotional communications in online social networks. The rules that guide how the agents interact are motivated, and the realistic network structure and some important parameters are inferred from the empirical dataset of \\texttt{MySpace} social network. Agent's emotional state is characterized by two variables representing psychological arousal---reactivity to stimuli, and valence---attractiveness or aversiveness, by which common emotions can be defined. Agent's action is triggered by increased arousal. High-resolution dynamics is implemented where each message carrying agent's emotion along the network link is identified and its effect on the recipient agent is considered as continuously aging in time. Our res...

uvakov, Milovan; Schweitzer, Frank; Tadi?, Bosiljka

2012-01-01

470

Social network analysis and agent-based modeling in social epidemiology.  

PubMed

The past five years have seen a growth in the interest in systems approaches in epidemiologic research. These approaches may be particularly appropriate for social epidemiology. Social network analysis and agent-based models (ABMs) are two approaches that have been used in the epidemiologic literature. Social network analysis involves the characterization of social networks to yield inference about how network structures may influence risk exposures among those in the network. ABMs can promote population-level inference from explicitly programmed, micro-level rules in simulated populations over time and space. In this paper, we discuss the implementation of these models in social epidemiologic research, highlighting the strengths and weaknesses of each approach. Network analysis may be ideal for understanding social contagion, as well as the influences of social interaction on population health. However, network analysis requires network data, which may sacrifice generalizability, and causal inference from current network analytic methods is limited. ABMs are uniquely suited for the assessment of health determinants at multiple levels of influence that may couple with social interaction to produce population health. ABMs allow for the exploration of feedback and reciprocity between exposures and outcomes in the etiology of complex diseases. They may also provide the opportunity for counterfactual simulation. However, appropriate implementation of ABMs requires a balance between mechanistic rigor and model parsimony, and the precision of output from complex models is limited. Social network and agent-based approaches are promising in social epidemiology, but continued development of each approach is needed. PMID:22296660

El-Sayed, Abdulrahman M; Scarborough, Peter; Seemann, Lars; Galea, Sandro

2012-01-01

471

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

472

Predicting Emerging Social Conventions in Online Social Networks  

E-print Network

of the most extreme members of a society [43]. As a consequence of their im- portance, social norms have been--data mining Keywords Social Conventions, Microblog, Prediction 1. INTRODUCTION The importance of social norms norms may begin as social conventions, i.e., simple habits of social interaction. Over time, some social

Gummadi, Krishna P.

473

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

474

Adolescent Substance Use in Different Social and Peer Contexts: A Social Network Analysis  

ERIC Educational Resources Information Center

This exploratory study investigates whether associations between social network measures and substance use differ according to type of substance and social context. The analyses use data obtained from 13 and 15 year olds (N=3146) in a school-based survey and focus on three social network measures: sociometric position (e.g. group, dyad, isolate);

Pearson, Michael; Sweeting, Helen; West, Patrick; Young, Robert; Gordon, Jacki; Turner, Katrina

2006-01-01

475

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

476

The network of innovators in Jena: An application of social network analysis  

Microsoft Academic Search

We apply social network analysis methods to describe the evolution of the innovator network of Jena, Germany in the period from 1995 to 2001. We find this evolution to be directed towards an increasing focus on core competencies of the network. Further we analyse the network resulting from R&D cooperations and explain by means of network regression techniques

Uwe Cantner; Holger Graf

2006-01-01

477

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

478

Submillisecond response variable optical attenuator based on sheared polymer network  

E-print Network

Submillisecond response variable optical attenuator based on sheared polymer network liquid crystal.5470) Polymers References and links 1. R. A. Soref and D. H. McMahon, "Total switching of unpolarized fiber light-1344 (1982). 3. K. Hirabayashi, M. Wada, and C. Amano, "Optical-fiber variable-attenuator arrays using

Wu, Shin-Tson

479

STor: Social Network based Anonymous Communication in Tor  

E-print Network

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

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

2011-01-01

480

Assembly effect of groups in online social networks  

NASA Astrophysics Data System (ADS)

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

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

2013-03-01

481

Social Process Variables Affecting Reading Performance in Delayed Readers.  

ERIC Educational Resources Information Center

A study was conducted to determine the relationship between fourteen social process variables (relating to perinatal events, early language patterns, parental/home environment, and child behavior patterns) and the reading performance of retarded readers. The subjects were 180 children, aged seven through fifteen, randomly selected from among

Lorton, Mary; Kukuk, Cristopher

482

Predictive Coding of Dynamical Variables in Balanced Spiking Networks  

PubMed Central

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.; Deneve, Sophie

2013-01-01

483

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

484

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

485

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

486

Epidemiological modeling of online social network dynamics  

E-print Network

The last decade has seen the rise of immense online social networks (OSNs) such as MySpace and Facebook. In this paper we use epidemiological models to explain user adoption and abandonment of OSNs, where adoption is analogous to infection and abandonment is analogous to recovery. We modify the traditional SIR model of disease spread by incorporating infectious recovery dynamics such that contact between a recovered and infected member of the population is required for recovery. The proposed infectious recovery SIR model (irSIR model) is validated using publicly available Google search query data for "MySpace" as a case study of an OSN that has exhibited both adoption and abandonment phases. The irSIR model is then applied to search query data for "Facebook," which is just beginning to show the onset of an abandonment phase. Extrapolating the best fit model into the future predicts a rapid decline in Facebook activity in the next few years.

Cannarella, John

2014-01-01

487

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

488

Context-based people search in labeled social networks  

Microsoft Academic Search

In online social networking services, there are a range of scenarios in which users want to search a particular person given the targeted person one's name. The challenge of such people search is namesake, which means that there are many people possess the same names in the social network. In this paper, we propose to leverage the query contexts to

Cheng-Te Li; Man-Kwan Shan; Shou-De Lin

2011-01-01

489

Analysis of online social networks: a cross-national study  

Microsoft Academic Search

Purpose The purpose of this study is to investigate users' underlying motivations for engaging in social networking through online social networking services (SNS) compared with their behaviour. It seeks to examine the differences between USA, and Korean users. Design\\/methodology\\/approach The study surveyed SNS users in the USA and Korea to determine the key differences between the two countries.

Dong-Hee Shin

2010-01-01

490

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

491

Mining Proximal Social Network Intelligence for Quality Decision Support  

Microsoft Academic Search

The concepts of proximity have been utilized for exploring both psychological and geographical incentives for users within social networks to collaborate with others for mutual goals. The massive information does not facilitate quality decision support. In this paper, we focus on mining the proximal social network intelligence for quality decision support. The utilization of investigating both the context and the

Yuan-chu Hwang

2009-01-01

492

Community Evolution of Social Network: Feature, Algorithm and Model  

Microsoft Academic Search

Researchers have devoted themselves to exploring static features of social networks and further discovered many representative characteristics, such as power law in the degree distribution and assortative value used to differentiate social networks from nonsocial ones. However, people are not satisfied with these achievements and more and more attention has been paid on how to uncover those dynamic characteristics of

Yi Wang; Bin Wu; Nan Du

2008-01-01

493

Use of social network information to enhance collaborative filtering performance  

Microsoft Academic Search

When people make decisions, they usually rely on recommendations from friends and acquaintances. Although collaborative filtering (CF), the most popular recommendation technique, utilizes similar neighbors to generate recommendations, it does not distinguish friends in a neighborhood from strangers who have similar tastes. Because social networking Web sites now make it easy to gather social network information, a study about the

Fengkun Liu; Hong Joo Lee

2010-01-01

494

Improving the Privacy Settings Interface of Online Social Networks  

Microsoft Academic Search

Maintaining a sense of privacy while participating in online social networking can be very challenging. Social network sites like Facebook enable users to create and manage their own profile, while openly sharing large amounts of personal information among friends and strangers, leaving them subject to a range of risks. We propose a new prototype that presents a visual-based privacy settings

Charisse Cotton

495

Offline Social Networks: stepping away from the Internet (Position paper)  

E-print Network

the privacy settings, there is anecdotal evidence that nobody bothers changing the parameters for every post #12;rity and privacy concerns for online social networks include information leak, user de@no-log.org Abstract Online social networks have been revolutionary in the way people interact over the Internet today

Paris-Sud XI, Université de

496

Characterizing Privacy in Online Social Networks Balachander Krishnamurthy  

E-print Network

Characterizing Privacy in Online Social Networks Balachander Krishnamurthy AT&T Labs ­ Research Protocols--applications General Terms Measurement Keywords Online Social Networks, Privacy 1. INTRODUCTION of information) for a user within an OSN2 , grouped together for setting of privacy controls, as shown in Figure

Fisher, Kathleen

497

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 to privacy breaches. This is exacerbated by the increasing overlap in user-bases among various services and accuracy. Simulations on real-world collected data sets verify our claim. Index Terms--Social networks

Wu, Jie

498

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