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dc.contributor.authorMoujahid, Abdelmalik ORCID
dc.contributor.authorD Anjou, Alicia
dc.contributor.authorCases Gutiérrez, Blanca Rosa ORCID
dc.date.accessioned2014-03-17T10:18:19Z
dc.date.available2014-03-17T10:18:19Z
dc.date.issued2012-07-20
dc.identifier.citationChaos, Solitons & Fractals, Volume 45, Issues 9–10, September–October 2012, Pages 1171-1179, ISSN 0960-0779.es
dc.identifier.issn0960-0779
dc.identifier.urihttp://hdl.handle.net/10810/11723
dc.description.abstract[EN]This work analyzes the problem of community structure in real-world networks based on the synchronization of nonidentical coupled chaotic Rössler oscillators each one characterized by a defined natural frequency, and coupled according to a predefined network topology. The interaction scheme contemplates an uniformly increasing coupling force to simulate a society in which the association between the agents grows in time. To enhance the stability of the correlated states that could emerge from the synchronization process, we propose a parameterless mechanism that adapts the characteristic frequencies of coupled oscillators according to a dynamic connectivity matrix deduced from correlated data. We show that the characteristic frequency vector that results from the adaptation mechanism reveals the underlying community structure present in the network.es
dc.language.isoenges
dc.publisherElsevieres
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectcomplex networkses
dc.subjectcommunity structureses
dc.subjectsynchronizationes
dc.titleCommunity structure in real-world networks from a non-parametrical synchronization-based dynamical approaches
dc.typeinfo:eu-repo/semantics/preprintes
dc.rights.holder©2012 Elsevier Ltd. All rights reservedes
dc.relation.publisherversionhttp://www.sciencedirect.com/science/journal/09600779es
dc.identifier.doi10.1016/j.chaos.2012.06.007
dc.departamentoesCiencia de la computación e inteligencia artificiales_ES
dc.departamentoeuKonputazio zientziak eta adimen artifizialaes_ES
dc.subject.categoriaMATHEMATICS


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