Structure of a large social network -: art. no. 036131

被引:101
作者
Csányi, G
Szendroi, B
机构
[1] Univ Cambridge, Cavendish Lab, TCM Grp, Cambridge CB3 0HE, England
[2] Univ Utrecht, Dept Math, NL-3508 TA Utrecht, Netherlands
关键词
D O I
10.1103/PhysRevE.69.036131
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
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.
引用
收藏
页码:036131 / 1
页数:5
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