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dc.contributor.authorMondragön, RJen_US
dc.date.accessioned2016-06-23T14:32:59Z
dc.date.available2016-10-04en_US
dc.date.issued2017-08-01en_US
dc.date.submitted2016-06-06T11:42:13.964Z
dc.identifier.issn2051-1310en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/13071
dc.description12 pages, 10 figures
dc.description.abstract© The author 2016. Published by Oxford University Press. Based on the density of connections between the nodes of high degree, we introduce two bounds of the spectral radius. We use these bounds to split a network into two sets, one of these sets contains the high degree nodes, we refer to this set as the spectral-core. The degree of the nodes of the subnetwork formed by the spectral-core can give an approximation to the top entries of the leading eigenvector of the network.We also present some numerical examples showing the dependancy of the spectral-core with the assortativity coefficient, its evaluation in several real networks and how the properties of the spectral-core can be used to reduce the spectral radius.en_US
dc.format.extent513 - 526en_US
dc.relation.ispartofJournal of Complex Networksen_US
dc.rightsarXiv record http://arxiv.org/abs/1512.02461
dc.titleNetwork partition via a bound of the spectral radiusen_US
dc.typeArticle
dc.rights.holder© The authors 2016.
dc.identifier.doi10.1093/comnet/cnw029en_US
pubs.issue4en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume5en_US
dcterms.dateAccepted2016-10-04en_US


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