Disassortative mixing in online social networks

被引:67
作者
Hu, Hai-Bo [1 ]
Wang, Xiao-Fan [1 ]
机构
[1] Shanghai Jiao Tong Univ, Complex Networks & Control Lab, Shanghai 200240, Peoples R China
关键词
EVOLUTION; TIME;
D O I
10.1209/0295-5075/86/18003
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The conventional wisdom is that social networks exhibit an assortative mixing pattern, whereas biological and technological networks show a disassortative mixing pattern. However, the recent research on the online social networks modifies the widespread belief, and many online social networks show a disassortative or neutral mixing feature. Especially, we found that an online social network, Wealink, underwent a transition from degree assortativity characteristic of real social networks to degree disassortativity characteristic of many online social networks, and the transition can be reasonably elucidated by a simple network model that we propose. The relations among network assortativity, clustering, and modularity are also discussed in the paper. Copyright (C) EPLA, 2009
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页数:6
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