Self-organizing map of complex networks for community detection
Li, Zhenping1; Wang, Ruisheng2; Zhang, Xiang-Sun3; Chen, Luonan4
刊名JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
2010-10-01
卷号23期号:5页码:931-941
关键词Community detection complex network neural networks self-organizing map
ISSN号1009-6124
DOI10.1007/s11424-010-0202-3
英文摘要Detecting communities from complex networks is an important issue and has attracted attention of researchers in many fields. It is relevant to social tasks, biological inquiries, and technological problems since various networks exist in these systems. This paper proposes a new self-organizing map (SOM) based approach to community detection. By adopting a new operation and a new weight-updating scheme, a complex network can be organized into dense subgraphs according to the topological connection of each node by the SOM algorithm. Extensive numerical experiments show that the performance of the SOM algorithm is good. It can identify communities more accurately than existing methods. This method can be used to detect communities not only in undirected networks, but also in directed networks and bipartite networks.
WOS研究方向Mathematics
语种英语
出版者SPRINGER HEIDELBERG
WOS记录号WOS:000284074000006
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/9328]  
专题应用数学研究所
通讯作者Li, Zhenping
作者单位1.Beijing Wuzi Univ, Sch Informat, Beijing 101149, Peoples R China
2.Renmin Univ China, Sch Informat, Beijing 100872, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
4.Osaka Sangyo Univ, Dept Elect Engn & Elect, Osaka 5748530, Japan
推荐引用方式
GB/T 7714
Li, Zhenping,Wang, Ruisheng,Zhang, Xiang-Sun,et al. Self-organizing map of complex networks for community detection[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2010,23(5):931-941.
APA Li, Zhenping,Wang, Ruisheng,Zhang, Xiang-Sun,&Chen, Luonan.(2010).Self-organizing map of complex networks for community detection.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,23(5),931-941.
MLA Li, Zhenping,et al."Self-organizing map of complex networks for community detection".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY 23.5(2010):931-941.
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