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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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/754029 |
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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 |
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_version_ |
1725671008936919040 |