An insight into network structure measures and number of driver nodes

Sadaf, A Mathieson, L Musial, K

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Publisher:: ACM
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021, pp. 471-478
Issue Date:: 2021-11-08

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Field	Value	Language
dc.contributor.author	Sadaf, A
dc.contributor.author	Mathieson, L
dc.contributor.author	Musial, K
dc.date.accessioned	2022-01-31T03:24:23Z
dc.date.available	2022-01-31T03:24:23Z
dc.date.issued	2021-11-08
dc.identifier.citation	Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021, pp. 471-478
dc.identifier.uri	http://hdl.handle.net/10453/153924
dc.language	en
dc.publisher	ACM
dc.relation	http://purl.org/au-research/grants/arc/DP190101087
dc.relation.ispartof	Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
dc.relation.ispartof	Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
dc.relation.isbasedon	10.1145/3487351.3488557
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	An insight into network structure measures and number of driver nodes
dc.type	Conference Proceeding
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/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2022-01-31T03:24:22Z
pubs.publication-status	Published

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