CSpace  > 应用数学研究所
Li Zhenping1; Wang Ruisheng2; Zhang Xiangsun3; Chen Luonan4
Source Publicationjournalofsystemsscienceandcomplexity
AbstractDetecting 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.
Document Type期刊论文
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li Zhenping]'s Articles
[Wang Ruisheng]'s Articles
[Zhang Xiangsun]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li Zhenping]'s Articles
[Wang Ruisheng]'s Articles
[Zhang Xiangsun]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li Zhenping]'s Articles
[Wang Ruisheng]'s Articles
[Zhang Xiangsun]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.