NDLI: An algorithm for overlapping community detection in complex network

Content Provider	IEEE Xplore Digital Library
Author	Yongliang Wu Li He Guanghui Yan Fanglin Guo Weitao Zheng Khan, A.B.
Copyright Year	2015
Description	Author affiliation: Sch. of Electron., Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou, China (Yongliang Wu; Guanghui Yan; Fanglin Guo; Weitao Zheng; Khan, A.B.) \|\| Bank of Lanzhou Co., Ltd., Lanzhou, China (Li He)
Abstract	In complex network, overlapping community structure is a more actual description of the structure of social networks. So, it is significant to analyze its overlapping community structure. After integrating the existing overlapping community detection algorithms and information theory, we summarize a definition of community from the perspective of information theory, then we present an algorithm to detect the overlapping community structure in complex networks after having learnt from the information dissemination theory. Experimental results illustrate that compared with the traditional definition of community and detection algorithms, the community that is detected by our algorithm have a more accurate physical meaning, meanwhile, this algorithm has a lower time complexity too.
Starting Page	732
Ending Page	738
File Size	337314
Page Count	7
File Format	PDF
e-ISBN	9781467376822
DOI	10.1109/FSKD.2015.7382033
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	information dissemination overlapping community detection Clustering algorithms Complex networks definition of community Topology information theory Detection algorithms Time complexity Information theory
Content Type	Text
Resource Type	Article

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