Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/53287
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dc.contributor.authorBoguñá, Marián-
dc.contributor.authorCastellano, Claudio-
dc.contributor.authorPastor-Satorras, R. (Romualdo), 1967--
dc.date.accessioned2014-04-07T08:50:40Z-
dc.date.available2014-04-07T08:50:40Z-
dc.date.issued2013-
dc.identifier.issn0031-9007-
dc.identifier.urihttp://hdl.handle.net/2445/53287-
dc.description.abstractWe develop an analytical approach to the susceptible-infected-susceptible epidemic model that allows us to unravel the true origin of the absence of an epidemic threshold in heterogeneous networks. We find that a delicate balance between the number of high degree nodes in the network and the topological distance between them dictates the existence or absence of such a threshold. In particular, small-world random networks with a degree distribution decaying slower than an exponential have a vanishing epidemic threshold in the thermodynamic limit.-
dc.format.extent5 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherAmerican Physical Society-
dc.relation.isformatofReproducció del document publicat a: http://dx.doi.org/10.1103/PhysRevLett.111.068701-
dc.relation.ispartofPhysical Review Letters, 2013, vol. 111, p. 068701-1-068701-5-
dc.relation.urihttp://dx.doi.org/10.1103/PhysRevLett.111.068701-
dc.rights(c) American Physical Society, 2013-
dc.sourceArticles publicats en revistes (Física de la Matèria Condensada)-
dc.subject.classificationEpidemiologia-
dc.subject.classificationInternet-
dc.subject.classificationXarxes socials-
dc.subject.classificationXarxes neuronals (Neurobiologia)-
dc.subject.classificationPercolació (Física estadística)-
dc.subject.classificationTermodinàmica-
dc.subject.classificationSistemes no lineals-
dc.subject.otherEpidemiology-
dc.subject.otherInternet-
dc.subject.otherSocial networks-
dc.subject.otherNeural networks (Neurobiology)-
dc.subject.otherPercolation (Statistical physics)-
dc.subject.otherThermodynamics-
dc.subject.otherNonlinear systems-
dc.titleNature of the Epidemic Threshold for the Susceptible-Infected-Susceptible Dynamics in Networks-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec628450-
dc.date.updated2014-04-07T08:50:41Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Física de la Matèria Condensada)

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