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Identification of overlapping community structure in complex networks using fuzzy c-means clustering
文献类型:期刊论文
作者 | Zhang, Shihua![]() ![]() |
刊名 | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
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出版日期 | 2007-01-15 |
卷号 | 374期号:1页码:483-490 |
关键词 | overlapping community structure modular function spectral mapping fuzzy c-means clustering complex network |
ISSN号 | 0378-4371 |
DOI | 10.1016/j.physa.2006.07.023 |
英文摘要 | Identification of (overlapping) communities/clusters in a complex network is a general problem in data mining of network data sets. In this paper, we devise a novel algorithm to identify overlapping communities in complex networks by the combination of a new modularity function based on generalizing NG's Q function, an approximation mapping of network nodes into Euclidean space and fuzzy c-means clustering. Experimental results indicate that the new algorithm is efficient at detecting both good clusterings and the appropriate number of clusters. (c) 2006 Elsevier B.V. All rights reserved. |
WOS研究方向 | Physics |
语种 | 英语 |
WOS记录号 | WOS:000242906200048 |
出版者 | ELSEVIER SCIENCE BV |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/4240] ![]() |
专题 | 应用数学研究所 |
通讯作者 | Zhang, Shihua |
作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China 2.Renmin Univ, Sch Informat, Beijing 100872, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Shihua,Wang, Rui-Sheng,Zhang, Xiang-Sun. Identification of overlapping community structure in complex networks using fuzzy c-means clustering[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2007,374(1):483-490. |
APA | Zhang, Shihua,Wang, Rui-Sheng,&Zhang, Xiang-Sun.(2007).Identification of overlapping community structure in complex networks using fuzzy c-means clustering.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,374(1),483-490. |
MLA | Zhang, Shihua,et al."Identification of overlapping community structure in complex networks using fuzzy c-means clustering".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 374.1(2007):483-490. |
入库方式: OAI收割
来源:数学与系统科学研究院
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