Dynamic Community Detection: A Survey

With the increasing diversity of social media, the demand for real-time analysis of social networks continues to increase, and research on dynamic community detection has received extensive attention. Existing community detection reviews mostly focus on static community detection and the discussion...

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Bibliographic Details
Published inJisuanji kexue yu tansuo Vol. 15; no. 4; pp. 612 - 630
Main Author DUAN Xiangyu, YUAN Guan, MENG Fanrong
Format Journal Article
LanguageChinese
Published Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 01.04.2021
Subjects
dynamic community detection
dynamic community evolution
network analysis
social network
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Summary:With the increasing diversity of social media, the demand for real-time analysis of social networks continues to increase, and research on dynamic community detection has received extensive attention. Existing community detection reviews mostly focus on static community detection and the discussion of related methods, so network evolution analysis cannot be carried out. Besides, the entity data in the community are cross-substitutional and sequential. Therefore, the research status of dynamic community detection is studied, reviewed, and analyzed. First, based on the research background of complex networks, a general research framework for dynamic community detection is proposed. Then, the relevant definitions of dynamic community detection are formally expressed, and the evolution of dynamic communities at the network level and node level is analyzed in detail. According to the difference in architecture and technology, the dynamic community detection methods are summarized and classified. Combined with comm
ISSN:1673-9418
DOI:10.3778/j.issn.1673-9418.2008023