Community Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes

With the explosive development of big data, information data mining technology has also been developed rapidly, and complex networks have become a hot research direction in data mining. In real life, many complex systems will use network nodes for intelligent detection. When many community detection...

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Autores principales:	Yanjia Tian, Xiang Feng
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/df42fc8f88af4310b0f52199e68a7985
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id	oai:doaj.org-article:df42fc8f88af4310b0f52199e68a7985
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spelling	oai:doaj.org-article:df42fc8f88af4310b0f52199e68a79852021-11-22T01:11:19ZCommunity Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes1875-905X10.1155/2021/2931801https://doaj.org/article/df42fc8f88af4310b0f52199e68a79852021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2931801https://doaj.org/toc/1875-905XWith the explosive development of big data, information data mining technology has also been developed rapidly, and complex networks have become a hot research direction in data mining. In real life, many complex systems will use network nodes for intelligent detection. When many community detection algorithms are used, many problems have arisen, so they have to face improvement. The new detection algorithm CS-Cluster proposed in this paper is derived by using the dissimilarity of node proximity. Of course, the new algorithm proposed in this article is based on the IGC-CSM algorithm. It has made certain improvements, and CS-Cluster has been implemented in the four algorithms of IGC-CSM, SA-Cluster, W-Cluster, and S-Cluster. The result of comparing the density value on the entropy value of the Political Blogs data set, the DBLP data set, the Political Blogs data set, and the entropy value of the DBLP data set is shown. Finally, it is concluded that the CS-Cluster algorithm is the best in terms of the effect and quality of clustering, and the degree of difference in the subgraph structure of clustering.Yanjia TianXiang FengHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Yanjia Tian Xiang Feng Community Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes
description	With the explosive development of big data, information data mining technology has also been developed rapidly, and complex networks have become a hot research direction in data mining. In real life, many complex systems will use network nodes for intelligent detection. When many community detection algorithms are used, many problems have arisen, so they have to face improvement. The new detection algorithm CS-Cluster proposed in this paper is derived by using the dissimilarity of node proximity. Of course, the new algorithm proposed in this article is based on the IGC-CSM algorithm. It has made certain improvements, and CS-Cluster has been implemented in the four algorithms of IGC-CSM, SA-Cluster, W-Cluster, and S-Cluster. The result of comparing the density value on the entropy value of the Political Blogs data set, the DBLP data set, the Political Blogs data set, and the entropy value of the DBLP data set is shown. Finally, it is concluded that the CS-Cluster algorithm is the best in terms of the effect and quality of clustering, and the degree of difference in the subgraph structure of clustering.
format	article
author	Yanjia Tian Xiang Feng
author_facet	Yanjia Tian Xiang Feng
author_sort	Yanjia Tian
title	Community Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes
title_short	Community Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes
title_full	Community Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes
title_fullStr	Community Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes
title_full_unstemmed	Community Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes
title_sort	community detection algorithm based on intelligent calculation of complex network nodes
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/df42fc8f88af4310b0f52199e68a7985
work_keys_str_mv	AT yanjiatian communitydetectionalgorithmbasedonintelligentcalculationofcomplexnetworknodes AT xiangfeng communitydetectionalgorithmbasedonintelligentcalculationofcomplexnetworknodes
_version_	1718418312437694464

Community Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes

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