Identifying Influential Nodes in Community Networks

Song, B; Hui-Ming,; Song, Y-R; Jiang, G-P; Wang, X; Xia, L-L

Identifying Influential Nodes in Community Networks

Song, B Hui-Ming, Song, Y-R Jiang, G-P Wang, X

Xia, L-L

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2023 42nd Chinese Control Conference (CCC), 2023, 2023-July, pp. 832-836
Issue Date:: 2023-09-18

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Field	Value	Language
dc.contributor.author	Song, B
dc.contributor.author	Hui-Ming,
dc.contributor.author	Song, Y-R
dc.contributor.author	Jiang, G-P
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9439-6437
dc.contributor.author	Xia, L-L
dc.date	2023-07-24
dc.date.accessioned	2024-04-22T11:47:05Z
dc.date.available	2024-04-22T11:47:05Z
dc.date.issued	2023-09-18
dc.identifier.citation	2023 42nd Chinese Control Conference (CCC), 2023, 2023-July, pp. 832-836
dc.identifier.isbn	9789887581543
dc.identifier.issn	1934-1768
dc.identifier.issn	2161-2927
dc.identifier.uri	http://hdl.handle.net/10453/178209
dc.description.abstract	Real systems often own strong community attributes Considering the high clustering and the heterogeneity of communities a community based Clustering LeaderRank CCL Algorithm is proposed to identify influential nodes in community networks Nodes are ranked by the CCL method and other node ranking methods in Dolphin network and Aviation network Simulation Results show that our method performs well on node ranking and identifying the high influence nodes
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2023 42nd Chinese Control Conference (CCC)
dc.relation.ispartof	2023 42nd Chinese Control Conference
dc.relation.isbasedon	10.23919/ccc58697.2023.10240198
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Identifying Influential Nodes in Community Networks
dc.type	Conference Proceeding
utslib.citation.volume	2023-July
utslib.location.activity	Tianjin, China
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2024-04-22T11:47:04Z
pubs.finish-date	2023-07-26
pubs.publication-status	Published
pubs.start-date	2023-07-24
pubs.volume	2023-July

Abstract:

Real systems often own strong community attributes Considering the high clustering and the heterogeneity of communities a community based Clustering LeaderRank CCL Algorithm is proposed to identify influential nodes in community networks Nodes are ranked by the CCL method and other node ranking methods in Dolphin network and Aviation network Simulation Results show that our method performs well on node ranking and identifying the high influence nodes

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/178209