Literature DB >> 11690115

Structure of growing social networks.

E M Jin1, M Girvan, M E Newman.   

Abstract

We propose some simple models of the growth of social networks, based on three general principles: (1). meetings take place between pairs of individuals at a rate that is high if a pair has one or more mutual friends and low otherwise; (2). acquaintances between pairs of individuals who rarely meet decay over time; (3). there is an upper limit on the number of friendships an individual can maintain. Using computer simulations, we find that models that incorporate all of these features reproduce many of the features of real social networks, including high levels of clustering or network transitivity and strong community structure in which individuals have more links to others within their community than to individuals from other communities.

Year:  2001        PMID: 11690115     DOI: 10.1103/PhysRevE.64.046132

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  15 in total

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4.  Attack resilience of the evolving scientific collaboration network.

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6.  Competition between Homophily and Information Entropy Maximization in Social Networks.

Authors:  Jichang Zhao; Xiao Liang; Ke Xu
Journal:  PLoS One       Date:  2015-09-03       Impact factor: 3.240

7.  Gravity effects on information filtering and network evolving.

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Journal:  PLoS One       Date:  2014-03-12       Impact factor: 3.240

8.  Rumor diffusion in an interests-based dynamic social network.

Authors:  Mingsheng Tang; Xinjun Mao; Zahia Guessoum; Huiping Zhou
Journal:  ScientificWorldJournal       Date:  2013-12-21

9.  Predicting node degree centrality with the node prominence profile.

Authors:  Yang Yang; Yuxiao Dong; Nitesh V Chawla
Journal:  Sci Rep       Date:  2014-11-28       Impact factor: 4.379

10.  The Dynamics of Coalition Formation on Complex Networks.

Authors:  S Auer; J Heitzig; U Kornek; E Schöll; J Kurths
Journal:  Sci Rep       Date:  2015-08-25       Impact factor: 4.379

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