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dc.contributor.authorMondragon, RJen_US
dc.contributor.authorIacovacci, Jen_US
dc.contributor.authorBianconi, Gen_US
dc.date.accessioned2018-04-12T14:54:20Z
dc.date.available2018-03-12en_US
dc.date.issued2018-03-20en_US
dc.date.submitted2017-12-20T12:44:08.497Z
dc.identifier.issn1932-6203en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/36303
dc.description12 pages, 9 figuresen_US
dc.description12 pages, 9 figuresen_US
dc.description.abstractMultiplex networks describe a large number of complex social, biological and transportation networks where a set of nodes is connected by links of different nature and connotation. Here we uncover the rich community structure of multiplex networks by associating a community to each multilink where the multilinks characterize the connections existing between any two nodes of the multiplex network. Our community detection method reveals the rich interplay between the mesoscale structure of the multiplex networks and their multiplexity. For instance some nodes can belong to many layers and few communities while others can belong to few layers but many communities. Moreover the multilink communities can be formed by a different number of relevant layers. These results point out that mesoscopically there can be large differences in the compressibility of multiplex networks.en_US
dc.description.sponsorshipThis research was supported by QMUL Research-IT and funded by EPSRC grant EP/K000128/1. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.en_US
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.ispartofPLoS ONEen_US
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.subjectphysics.soc-phen_US
dc.subjectphysics.soc-phen_US
dc.subjectcs.SIen_US
dc.titleMultilink Communities of Multiplex Networksen_US
dc.typeArticle
dc.rights.holderCopyright: © 2018 Mondragon et al.
dc.identifier.doi10.1371/journal.pone.0193821.s001en_US
pubs.author-urlhttp://arxiv.org/abs/1706.09011v1en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
dcterms.dateAccepted2018-03-12en_US


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