Community detection with fuzzy community structure

被引:3
作者
Wang, Qinna [1 ]
Fleury, Eric [1 ]
机构
[1] Univ lyon, LIP ENS LYON, D NET INRIA, 46 Allee Italie, F-69364 Lyon, France
来源
2011 INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2011) | 2011年
关键词
Fuzzy community structure; overlapping community structure; hierarchical organization; community detection;
D O I
10.1109/ASONAM.2011.72
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In order to find a cover which allows nodes to be shared among several communities, we propose a simple fuzzy community detection algorithm, which is based on an existing partition detection technique. For the performance of overlapping nodes that makes the partition ambiguous, a new extended modularity is introduced to qualify covers. With modularity optimization, the cover can be found with a high quality. We applied our method to real networks. The results demonstrate that our method can discover meaningful fuzzy community structure, overlapping community structure and hierarchical structure.
引用
收藏
页码:575 / 580
页数:6
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