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Mining Seeds for Community Detection
Fengjiao Chen, Kan Li
Department of Computer Science, Beijing Institute of Technology, Beijing 100081
*Correspondence author
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Funding: none
Opened online:14 August 2015
Accepted by: none
Citation: Fengjiao Chen, Kan Li.Mining Seeds for Community Detection[OL]. [14 August 2015] http://en.paper.edu.cn/en_releasepaper/content/4651225
 
 
Community structure is an important part in complex networks, such as social network and protein network. Communities are mixed and overlapped where members can take part into multiple communities at the same time. Most of the detection methods are based on seed communitiy from which the community is contructed. The quality of mined seeds influence the quality of detected communities. In this paper, a seed mining method is proposed that can detect both clique structure and star structure. Experiment in real complex networks show the competitive performance of the method.
Keywords:community detection, seed community, PPI network, cluster
 
 
 

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