Research on label propagation algorithm based on modularity maximization in the social network

A kind of community detection method based on the combination of modularity and community structure attributes was proposed.Firstly,updating the whole network after communities merging every time could result in the high time complexity,therefore,introducing propagation distance parameter and “merge...

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Main Authors: Jing CHEN, Yun WAN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-02-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017025/
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author Jing CHEN
Yun WAN
author_facet Jing CHEN
Yun WAN
author_sort Jing CHEN
collection DOAJ
description A kind of community detection method based on the combination of modularity and community structure attributes was proposed.Firstly,updating the whole network after communities merging every time could result in the high time complexity,therefore,introducing propagation distance parameter and “merger going after label propagation” was utilized to reduce time complexity.Secondly,CDMM-LPA algorithm was proposed by combing label propagation with community structure.Finally,empirical analysis on data networks verified the validity of the approaches.The experimental results show that the CDMM-LPA algorithm has a high modularity value and a more stable community structure while reducing the time complexity.
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institution Kabale University
issn 1000-436X
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publishDate 2017-02-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-1cb548a885df4fb49cb43e996de37d0d2025-01-14T07:11:34ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-02-0138253359707100Research on label propagation algorithm based on modularity maximization in the social networkJing CHENYun WANA kind of community detection method based on the combination of modularity and community structure attributes was proposed.Firstly,updating the whole network after communities merging every time could result in the high time complexity,therefore,introducing propagation distance parameter and “merger going after label propagation” was utilized to reduce time complexity.Secondly,CDMM-LPA algorithm was proposed by combing label propagation with community structure.Finally,empirical analysis on data networks verified the validity of the approaches.The experimental results show that the CDMM-LPA algorithm has a high modularity value and a more stable community structure while reducing the time complexity.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017025/modularity,propagation distancecommunity structureabel propagationcommunity detection
spellingShingle Jing CHEN
Yun WAN
Research on label propagation algorithm based on modularity maximization in the social network
Tongxin xuebao
modularity,propagation distance
community structure
abel propagation
community detection
title Research on label propagation algorithm based on modularity maximization in the social network
title_full Research on label propagation algorithm based on modularity maximization in the social network
title_fullStr Research on label propagation algorithm based on modularity maximization in the social network
title_full_unstemmed Research on label propagation algorithm based on modularity maximization in the social network
title_short Research on label propagation algorithm based on modularity maximization in the social network
title_sort research on label propagation algorithm based on modularity maximization in the social network
topic modularity,propagation distance
community structure
abel propagation
community detection
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017025/
work_keys_str_mv AT jingchen researchonlabelpropagationalgorithmbasedonmodularitymaximizationinthesocialnetwork
AT yunwan researchonlabelpropagationalgorithmbasedonmodularitymaximizationinthesocialnetwork