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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Details
Paper Title
Modern Approach For Community Detection Using Maximal Clique Graph Mining Technique
Authors
  Gunjan Bhalala,  Kamal Sutaria

Abstract
Social Network Analysis is measurement of relationship between people, groups and other connected entities. Through the Social Network Analysis we can investigate the social structure of network. Community Detection is very important to identify community structure in Social Network.In this paper ,an efficient algorithm of maximal clique community detection technique ,namely adopted maximal clique community detection algorithm, is proposed.Using this algorithm modularity will be improved and time complexity will be reduced by parallel approach.

Keywords- community detection, social network ,Maximal clique algorithm
Publication Details
Unique Identification Number - IJEDR1702113
Page Number(s) - 663-666
Pubished in - Volume 5 | Issue 2 | April 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Gunjan Bhalala,  Kamal Sutaria,   "Modern Approach For Community Detection Using Maximal Clique Graph Mining Technique ", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.663-666, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702113.pdf
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