Literature DB >> 15089385

Structure of a large social network.

Gábor Csányi1, Balázs Szendroi.   

Abstract

We study a social network consisting of over 10(4) individuals, with a degree distribution exhibiting two power scaling regimes separated by a critical degree k(crit), and a power law relation between degree and local clustering. We introduce a growing random model based on a local interaction mechanism that reproduces the observed scaling features and their exponents. We suggest that the double power law originates from two very different kinds of networks that are simultaneously present in the human social network.

Entities:  

Year:  2004        PMID: 15089385     DOI: 10.1103/PhysRevE.69.036131

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


  6 in total

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Authors:  Freya Harrison; James Sciberras; Richard James
Journal:  PLoS One       Date:  2011-03-30       Impact factor: 3.240

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Journal:  PLoS Genet       Date:  2006-07-05       Impact factor: 5.917

4.  Geographies of an Online Social Network.

Authors:  Balázs Lengyel; Attila Varga; Bence Ságvári; Ákos Jakobi; János Kertész
Journal:  PLoS One       Date:  2015-09-11       Impact factor: 3.240

5.  Intermediate Levels of Network Heterogeneity Provide the Best Evolutionary Outcomes.

Authors:  Flávio L Pinheiro; Dominik Hartmann
Journal:  Sci Rep       Date:  2017-11-10       Impact factor: 4.379

6.  Characterization of genes for beef marbling based on applying gene coexpression network.

Authors:  Dajeong Lim; Nam-Kuk Kim; Seung-Hwan Lee; Hye-Sun Park; Yong-Min Cho; Han-Ha Chai; Heebal Kim
Journal:  Int J Genomics       Date:  2014-01-30       Impact factor: 2.326

  6 in total

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