Community Clustering Algorithm in Complex Networks Based on Microcommunity Fusion

With the further research on physical meaning and digital features of the community structure in complex networks in recent years, the improvement of effectiveness and efficiency of the community mining algorithms in complex networks has become an important subject in this area. This paper puts forw...

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Main Authors: Jin Qi, Fei Jiang, Xiaojun Wang, Bin Xu, Yanfei Sun
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/754029
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spelling doaj-4665918cff3e4fa68c455d7802e9676b2020-11-24T22:51:10ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/754029754029Community Clustering Algorithm in Complex Networks Based on Microcommunity FusionJin Qi0Fei Jiang1Xiaojun Wang2Bin Xu3Yanfei Sun4Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing 210003, ChinaKey Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing 210003, ChinaKey Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing 210003, ChinaKey Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing 210003, ChinaSchool of Automation, Nanjing University of Posts and Telecommunication, Nanjing 210003, ChinaWith the further research on physical meaning and digital features of the community structure in complex networks in recent years, the improvement of effectiveness and efficiency of the community mining algorithms in complex networks has become an important subject in this area. This paper puts forward a concept of the microcommunity and gets final mining results of communities through fusing different microcommunities. This paper starts with the basic definition of the network community and applies Expansion to the microcommunity clustering which provides prerequisites for the microcommunity fusion. The proposed algorithm is more efficient and has higher solution quality compared with other similar algorithms through the analysis of test results based on network data set.http://dx.doi.org/10.1155/2015/754029
collection DOAJ
language English
format Article
sources DOAJ
author Jin Qi
Fei Jiang
Xiaojun Wang
Bin Xu
Yanfei Sun
spellingShingle Jin Qi
Fei Jiang
Xiaojun Wang
Bin Xu
Yanfei Sun
Community Clustering Algorithm in Complex Networks Based on Microcommunity Fusion
Mathematical Problems in Engineering
author_facet Jin Qi
Fei Jiang
Xiaojun Wang
Bin Xu
Yanfei Sun
author_sort Jin Qi
title Community Clustering Algorithm in Complex Networks Based on Microcommunity Fusion
title_short Community Clustering Algorithm in Complex Networks Based on Microcommunity Fusion
title_full Community Clustering Algorithm in Complex Networks Based on Microcommunity Fusion
title_fullStr Community Clustering Algorithm in Complex Networks Based on Microcommunity Fusion
title_full_unstemmed Community Clustering Algorithm in Complex Networks Based on Microcommunity Fusion
title_sort community clustering algorithm in complex networks based on microcommunity fusion
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description With the further research on physical meaning and digital features of the community structure in complex networks in recent years, the improvement of effectiveness and efficiency of the community mining algorithms in complex networks has become an important subject in this area. This paper puts forward a concept of the microcommunity and gets final mining results of communities through fusing different microcommunities. This paper starts with the basic definition of the network community and applies Expansion to the microcommunity clustering which provides prerequisites for the microcommunity fusion. The proposed algorithm is more efficient and has higher solution quality compared with other similar algorithms through the analysis of test results based on network data set.
url http://dx.doi.org/10.1155/2015/754029
work_keys_str_mv AT jinqi communityclusteringalgorithmincomplexnetworksbasedonmicrocommunityfusion
AT feijiang communityclusteringalgorithmincomplexnetworksbasedonmicrocommunityfusion
AT xiaojunwang communityclusteringalgorithmincomplexnetworksbasedonmicrocommunityfusion
AT binxu communityclusteringalgorithmincomplexnetworksbasedonmicrocommunityfusion
AT yanfeisun communityclusteringalgorithmincomplexnetworksbasedonmicrocommunityfusion
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