A New Algorithm and Its Application in Detecting Community of the Bipartite Complex Network

The community division of bipartite networks is one frontier problem on the research of complex networks today. In this study, we propose a model of community detection of the bipartite network, which is based on the generalized suffix tree algorithm. First, extract the adjacent node sequences from...

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Main Authors: Zhongyi Lei, Haiying Wang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/1376609
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author Zhongyi Lei
Haiying Wang
author_facet Zhongyi Lei
Haiying Wang
author_sort Zhongyi Lei
collection DOAJ
description The community division of bipartite networks is one frontier problem on the research of complex networks today. In this study, we propose a model of community detection of the bipartite network, which is based on the generalized suffix tree algorithm. First, extract the adjacent node sequences from the matrix of relation and use the obtained adjacent node sequences to build a generalized suffix tree; second, traverse the established generalized suffix tree to obtain the bipartite cliques; third, adjust the bipartite cliques; finally, dispose the isolated edges, get the communities, and complete the division of the bipartite network. This algorithm is different from the traditional community mining one since it uses edges as the community division medium and does not need to specify the number of the division of communities before the experiment. Furthermore, we can find overlapping communities by this new algorithm which can decrease the time complexity.
format Article
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institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-07d9328246a8432190ea9ea92d9dcd8c2025-02-03T06:12:50ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/13766091376609A New Algorithm and Its Application in Detecting Community of the Bipartite Complex NetworkZhongyi Lei0Haiying Wang1School of Science, China University of Geosciences (Beijing), Beijing 100083, ChinaSchool of Science, China University of Geosciences (Beijing), Beijing 100083, ChinaThe community division of bipartite networks is one frontier problem on the research of complex networks today. In this study, we propose a model of community detection of the bipartite network, which is based on the generalized suffix tree algorithm. First, extract the adjacent node sequences from the matrix of relation and use the obtained adjacent node sequences to build a generalized suffix tree; second, traverse the established generalized suffix tree to obtain the bipartite cliques; third, adjust the bipartite cliques; finally, dispose the isolated edges, get the communities, and complete the division of the bipartite network. This algorithm is different from the traditional community mining one since it uses edges as the community division medium and does not need to specify the number of the division of communities before the experiment. Furthermore, we can find overlapping communities by this new algorithm which can decrease the time complexity.http://dx.doi.org/10.1155/2021/1376609
spellingShingle Zhongyi Lei
Haiying Wang
A New Algorithm and Its Application in Detecting Community of the Bipartite Complex Network
Complexity
title A New Algorithm and Its Application in Detecting Community of the Bipartite Complex Network
title_full A New Algorithm and Its Application in Detecting Community of the Bipartite Complex Network
title_fullStr A New Algorithm and Its Application in Detecting Community of the Bipartite Complex Network
title_full_unstemmed A New Algorithm and Its Application in Detecting Community of the Bipartite Complex Network
title_short A New Algorithm and Its Application in Detecting Community of the Bipartite Complex Network
title_sort new algorithm and its application in detecting community of the bipartite complex network
url http://dx.doi.org/10.1155/2021/1376609
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