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A Study on Community Overlapping Detection Algorithms in Social Networks

http://hdl.handle.net/20.500.12678/0000004587
23e2aa01-0ad8-44f9-bb89-1980728ea73c
8a840b4a-6178-4e6c-9052-76e43b4187f4
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EaintMonWin.pdf EaintMonWin.pdf (339 Kb)
Publication type
Article
Upload type
Publication
Title
Title A Study on Community Overlapping Detection Algorithms in Social Networks
Language en
Publication date 2020-02-28
Authors
Win, Eaint Mon
Khine, May Aye
Description
Community detection is one of the most important research area wherein invention and growthof social networks. Community is a set of members densely connected within a group and sparely connectedwith the other groups. In social networks, the singular characteristic of communities is multi membership of anode resulting in overlapping communities. Another relevant feature of social networks is the possibility toevolve over time. In recent years, many researchers have worked on various methods that can efficientlyunveil overlapped structure on dynamic network. This paper reviews the previous studies done on theproblem of overlapping community detection algorithms. Moreover, some approaches for dynamic networkthat change from time to time are also described.
Keywords
overlapping community, community detection, dynamic, social network
Identifier 978-981-14-4787-7
Journal articles
Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020)
Conference papers
Books/reports/chapters
Thesis/dissertations
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