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Clustering complex networks and biological networks by nonnegative matrix factorization with various similarity measures
Wang, Rui-Sheng2,5; Zhang, Shihua1,3; Wang, Yong1; Zhang, Xiang-Sun1; Chen, Luonan4,5,6,7
2008-12-01
Source PublicationNEUROCOMPUTING
ISSN0925-2312
Volume72Issue:1-3Pages:134-141
AbstractIdentifying community structure in complex networks is closely related to clustering of data in other areas without an underlying network structure. In this paper, we propose a nonnegative matrix factorization (NMF)-based method for finding community structure. We first evaluate several similarity measures, such as diffusion kernel similarity, shortest path based similarity on several widely well-studied networks. Then, we apply NMF with diffusion kernel similarity to a large biological network, which demonstrates that our method can find biologically meaningful functional modules. Comparison with other algorithms also indicates the good performance of our method. (C) 2008 Elsevier B.V. All rights reserved.
KeywordComplex networks Biological networks Community structure Nonnegative matrix factorization Similarity measure
DOI10.1016/j.neucom.2007.12.043
Language英语
Funding ProjectNational Natural Science Foundation of China (NSFC)[10701080] ; National Natural Science Foundation of China (NSFC)[10801131] ; Research Foundation of Renmin University of China[06XN13054] ; Ministry of Science and Technology, China[2006CB503905]
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000261643700017
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/6203
Collection应用数学研究所
Corresponding AuthorZhang, Xiang-Sun
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Renmin Univ China, Sch Informat, Beijing 100872, Peoples R China
3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
4.Shanghai Univ, Inst Syst Biol, Shanghai 200444, Peoples R China
5.Osaka Sangyo Univ, Osaka 5748530, Japan
6.JST, ERATO, Aihara Complex Modelling Project, Tokyo 1510064, Japan
7.Univ Tokyo, Inst Ind Sci, Tokyo 1538505, Japan
Recommended Citation
GB/T 7714
Wang, Rui-Sheng,Zhang, Shihua,Wang, Yong,et al. Clustering complex networks and biological networks by nonnegative matrix factorization with various similarity measures[J]. NEUROCOMPUTING,2008,72(1-3):134-141.
APA Wang, Rui-Sheng,Zhang, Shihua,Wang, Yong,Zhang, Xiang-Sun,&Chen, Luonan.(2008).Clustering complex networks and biological networks by nonnegative matrix factorization with various similarity measures.NEUROCOMPUTING,72(1-3),134-141.
MLA Wang, Rui-Sheng,et al."Clustering complex networks and biological networks by nonnegative matrix factorization with various similarity measures".NEUROCOMPUTING 72.1-3(2008):134-141.
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