Modeling online social networks based on preferential linking

被引：8
|
作者：
Hu Hai-Bo [1 ]
Guo Jin-Li [2 ]
Chen Jun [1 ]
机构：
[1] E China Univ Sci & Technol, Dept Management, Shanghai 200237, Peoples R China
[2] E China Univ Sci & Technol, Sch Management, Shanghai 200093, Peoples R China
来源：
CHINESE PHYSICS B | 2012年 / 21卷 / 11期
基金：
中国国家自然科学基金;
关键词：
online social network; preferential linking; model; power law; EVOLUTION;
D O I：
10.1088/1674-1056/21/11/118902
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
We study the phenomena of preferential linking in a large-scale evolving online social network and find that the linear preference holds for preferential creation, preferential acceptance, and preferential attachment. Based on the linear preference, we propose an analyzable model, which illustrates the mechanism of network growth and reproduces the process of network evolution. Our simulations demonstrate that the degree distribution of the network produced by the model is in good agreement with that of the real network. This work provides a possible bridge between the micro-mechanisms of network growth and the macrostructures of online social networks.
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页数：6
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