selforganizingmapofcomplexnetworksforcommunitydetection

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	selforganizingmapofcomplexnetworksforcommunitydetection
	Li Zhenping 1; Wang Ruisheng 2; Zhang Xiangsun3 ; Chen Luonan 4
	2010-01-01
发表期刊	journalofsystemsscienceandcomplexity
ISSN	1009-6124
卷号	000 期号:005 页码:931
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 weightupdating 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.
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/38236
专题	应用数学研究所
作者单位	1.北京物资学院 2.中国人民大学 3.中国科学院数学与系统科学研究院 4.大阪产业大学
推荐引用方式 GB/T 7714	Li Zhenping,Wang Ruisheng,Zhang Xiangsun,et al. selforganizingmapofcomplexnetworksforcommunitydetection[J]. journalofsystemsscienceandcomplexity,2010,000(005):931.
APA	Li Zhenping,Wang Ruisheng,Zhang Xiangsun,&Chen Luonan.(2010).selforganizingmapofcomplexnetworksforcommunitydetection.journalofsystemsscienceandcomplexity,000(005),931.
MLA	Li Zhenping,et al."selforganizingmapofcomplexnetworksforcommunitydetection".journalofsystemsscienceandcomplexity 000.005(2010):931.