Detection of Community Structures in Dynamic Social Networks Based on Message Distribution and Structural/Attribute Similarities

Detection of Community Structures in Dynamic Social Networks Based on Message Distribution and Structural/Attribute Similarities

Community detection is a crucial challenge in social network analysis. This task is important because it gives leads to study emerging phenomena. Indeed, it makes it possible to identify the different communities representing individuals with common interests and/or strong connections between them....

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Bibliographic Details
Main Authors: Hedia Zardi, Bushra Alharbi, Walid Karamti, Hanen Karamti, Eatedal Alabdulkreem
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Community detection
dynamic social networks
attributed networks
community evolution
overlapping communities
Online Access:https://ieeexplore.ieee.org/document/9418996/

Internet

https://ieeexplore.ieee.org/document/9418996/

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