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Improving temporal smoothness and snapshot quality in dynamic network community discovery using NOME algorithm.

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第一作者： Lei,Cai

第一单位： State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China.

作者： Lei,Cai ^[1] ; Jincheng,Zhou ^[2] ; Dan,Wang ^[3]

作者单位： State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China. ^[1] Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, China. ^[2] School of Mathematics and Statistics, Qiannan Normal University for Nationalities, Duyun, China. ^[3]

关键词 Community discovery Dynamic networks Evolutionary clustering Node occupancy assignment

DOI 10.7717/peerj-cs.1477

PMID 37547400

发布时间 2023-08-08

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PeerJ. Computer science

2023年9卷

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2023年9卷

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Improving temporal smoothness and snapshot quality in dynamic network community discovery using NOME algorithm.

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Improving temporal smoothness and snapshot quality in dynamic network community discovery using NOME algorithm.

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