Overlapping Community Detection on Dynamic Social Network

被引:5
作者
Xu, Bingying [1 ]
Deng, Lei [1 ]
Jia, Yan [1 ]
Zhou, Bin [1 ]
Han, Yi [1 ]
机构
[1] Natl Univ Def Technol, Sch Comp Sci, Changsha, Hunan, Peoples R China
来源
2013 SIXTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2 | 2013年
关键词
community detection; overlapping community; dynamic network; local fitness;
D O I
10.1109/ISCID.2013.194
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Overlapping is one of the common characteristics of the social network community structure. The existing overlapping community detection methods are rarely applied to dynamic network, this paper provides an overlapping community detection method on dynamic social network based on local fitness. Analysis the formation and evolution mechanism of social network communities, we not only consider the impact of increasement of nodes and edges to the community structure, but also the impact of deletion of nodes and edges. Experiment on simulation network shows the effectiveness of the method.
引用
收藏
页码:321 / 326
页数:6
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