Community detection in complex networks via adapted Kuramoto dynamics

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dc.citation.volume53
dc.contributor.authorMaia, Daniel M. N.
dc.contributor.authorde Oliveira, Joao E. M.
dc.contributor.authorQuiles, Marcos G. [UNIFESP]
dc.contributor.authorMacau, Elbert E. N.
dc.coverageAmsterdam
dc.date.accessioned2020-09-01T13:21:15Z
dc.date.available2020-09-01T13:21:15Z
dc.date.issued2017
dc.description.abstractBased on the Kuramoto model, a new network model, namely, the generalized Kuramoto model with Fourier term, is introduced for studying community detection in complex networks. In particular, the Fourier term provides a natural phase locking of the trajectories into a pre-defined number of clusters. A mathematical approach is used to study the behavior of the solutions and its properties. Conditions for properly choosing the coupling parameters so that phase locking takes place are presented and a quality function called clustering density is introduced to measure the effectiveness of the communities identification. Illustrations with real and synthetic networks with community structure are presented. (C) 2017 Elsevier B.V. All rights reserved.en
dc.description.affiliationInst Nacl Pesquisas Espaciais, Sao Jose Dos Campos, Brazil
dc.description.affiliationUniv Fed Sao Paulo, Sao Jose Dos Campos, Brazil
dc.description.affiliationUnifespUniv Fed Sao Paulo, Sao Jose Dos Campos, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipCAPES
dc.description.sponsorshipCNPq
dc.description.sponsorshipFAPESP
dc.description.sponsorshipIDCNPq: 311467/2014-8
dc.description.sponsorshipIDCNPq: 458070/2014-9
dc.description.sponsorshipIDFAPESP: 2015/50122-0
dc.format.extent130-141
dc.identifierhttp://dx.doi.org/10.1016/j.cnsns.2017.05.002
dc.identifier.citationCommunications In Nonlinear Science And Numerical Simulation. Amsterdam, v. 53, p. 130-141, 2017.
dc.identifier.doi10.1016/j.cnsns.2017.05.002
dc.identifier.issn1007-5704
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/58156
dc.identifier.wosWOS:000404307400010
dc.language.isoeng
dc.publisherElsevier Science Bv
dc.relation.ispartofCommunications In Nonlinear Science And Numerical Simulation
dc.rightsAcesso restrito
dc.subjectCommunity detectionen
dc.subjectKuramoto modelen
dc.titleCommunity detection in complex networks via adapted Kuramoto dynamicsen
dc.typeArtigo
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