The Evolution of Online Social Networks: A tutorial survey

Leberknight, Christopher S.; İnaltekin, Hazer; Chiang, Mung; Poor, H. Vincent

doi:10.1109/msp.2011.943158

Cited by 17 publications

(8 citation statements)

References 22 publications

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“…Surveys about social networks can in turn be classified into those that take a generalist view, and those that have a specialist focus on more specific aspects. Generalist surveys typically examine a wide variety of social networks and tend to cover topics such as the definition and history of social networks [boyd and Ellison 2008], or their evolution [Leberknight et al 2012]. Berger et al [2014] provides a kind of citation analysis, studying aspects such as what the major research areas have been, and which journals have been most receptive to social networks papers.…”

Section: Related Workmentioning

confidence: 99%

Systems Applications of Social Networks

Zhong

Sastry

2017

ACM Comput. Surv.

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The aim of this article is to provide an understanding of social networks as a useful addition to the standard tool-box of techniques used by system designers. To this end, we give examples of how data about social links have been collected and used in different application contexts. We develop a broad taxonomy-based overview of common properties of social networks, review how they might be used in different applications, and point out potential pitfalls where appropriate. We propose a framework, distinguishing between two main types of social network-based user selection -personalised user selection which identifies target users who may be relevant for a given source node, using the social network around the source as a context, and generic user selection or group delimitation, which filters for a set of users who satisfy a set of application requirements based on their social properties. Using this framework, we survey applications of social networks in three typical kinds of application scenarios: recommender systems, content-sharing systems (e.g., P2P or video streaming), and systems which defend against users who abuse the system (e.g., spam or sybil attacks). In each case, we discuss potential directions for future research that involve using social network properties.

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Section: Related Workmentioning

confidence: 99%

Systems Applications of Social Networks

Zhong

Sastry

2017

ACM Comput. Surv.

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“…The explosion in popularity of the Internet during this time eventually led to its steady penetration into many aspects of life (Leberknight et al, 2012). Between 1993 and 1995, Internet service providers (ISPs) began offering access in most major U.S. cities (Scott & Jacka, 2011).…”

Section: Social Media Originsmentioning

confidence: 99%

Social Media, Sociality, and Survey Research

Hill¹,

Dean

Murphy³

2013

Social Media, Sociality, and Survey Research

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If you are searching for the book by Craig A. Hill;Elizabeth Dean;Joe Murphy Social Media, Sociality, and Survey Research in pdf format, in that case you come on to the loyal website. We present utter release of this book in PDF, doc, ePub, DjVu, txt formats. You can read Social Media, Sociality, and Survey Research online either load. Too, on our website you may reading the manuals and different artistic eBooks online, or load theirs. We want to attract consideration that our website does not store the book itself, but we provide reference to the website where you may load either read online. So if have necessity to downloading pdf by Craig A. Hill;Elizabeth Dean;Joe Murphy Social Media, Sociality, and Survey Research , then you've come to the loyal site. We have Social Media, Sociality, and Survey Research txt, ePub, DjVu, doc, PDF formats. We will be pleased if you revert more.

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“…In social cognitive theory, behavior is determined by expectations and incentives of the following three types, as the foundation for designing online social networks [93]:…”

Section: A Small-world Networkmentioning

confidence: 99%

From Technological Networks to Social Networks

Chen

Chiang

Poor

2013

IEEE J. Select. Areas Commun.

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Social networks overlaid on technological networks account for a significant fraction of Internet use. Through graph theoretic and functionality models, this paper examines social network analysis and potential implications for the design of technological networks, and vice versa. Such interplay between social networks and technological networks suggests new directions for future research in networking.

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The Evolution of Online Social Networks: A tutorial survey

Cited by 17 publications

References 22 publications

Systems Applications of Social Networks

Systems Applications of Social Networks

Social Media, Sociality, and Survey Research

From Technological Networks to Social Networks

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