Detecting Communities with Different Sizes for Social Network Analysis

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/18646

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DC Field	Value	Language
dc.contributor.author	Zhou, L	-
dc.contributor.author	Lu, KJ	-
dc.date.accessioned	2019-07-05T14:49:53Z	-
dc.date.available	2014-09-22	-
dc.date.available	2019-07-05T14:49:53Z	-
dc.date.issued	2014-09-24	-
dc.identifier.citation	The Computer Journal, 2014, 2015, 58 (9), pp. 1894 - 1908	en_US
dc.identifier.issn	0010-4620	-
dc.identifier.issn	http://dx.doi.org/10.1093/comjnl/bxu087	-
dc.identifier.issn	1460-2067	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/18646	-
dc.description.sponsorship	National Natural Science Foundation of China; Yunnan Educational Department Foundation; Program for Young and Middle-aged Skeleton Teachers, Yunnan University	en_US
dc.format.extent	1894 - 1908	-
dc.language.iso	en	en_US
dc.publisher	Oxford University Press	en_US
dc.subject	Social network	en_US
dc.subject	Community detection	en_US
dc.subject	Modularity	en_US
dc.subject	Modularity optimization	en_US
dc.title	Detecting Communities with Different Sizes for Social Network Analysis	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.1093/comjnl/bxu087	-
dc.relation.isPartOf	The Computer Journal	-
pubs.edition	2015	-
pubs.issue	9	-
pubs.publication-status	Published	-
pubs.volume	58	-
dc.identifier.eissn	1460-2067	-
Appears in Collections:	Brunel Business School Research Papers

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