ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks

Li, W Hu, Y Jiang, C Wu, S

Bai, Q Lai, E

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Field	Value	Language
dc.contributor.author	Li, W
dc.contributor.author	Hu, Y
dc.contributor.author	Jiang, C
dc.contributor.author	Wu, S https://orcid.org/0000-0001-6785-1203
dc.contributor.author	Bai, Q
dc.contributor.author	Lai, E
dc.date.accessioned	2023-02-04T01:54:51Z
dc.date.available	2023-02-04T01:54:51Z
dc.date.issued	2023-02
dc.identifier.citation	Applied Soft Computing, 2023, pp. 110062-110062
dc.identifier.issn	1568-4946
dc.identifier.uri	http://hdl.handle.net/10453/165893
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Applied Soft Computing
dc.relation.isbasedon	10.1016/j.asoc.2023.110062
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0102 Applied Mathematics, 0801 Artificial Intelligence and Image Processing, 0806 Information Systems
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks
dc.type	Journal Article
utslib.for	0102 Applied Mathematics
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0806 Information Systems
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 Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2023-02-04T01:54:45Z
pubs.publication-status	Published

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