Percolation in self-similar networks

dc.contributor.authorSerrano Moral, Ma. Ángeles (María Ángeles)
dc.contributor.authorKrioukov, Dmitri
dc.contributor.authorBoguñá, Marián
dc.date.accessioned2019-07-22T13:37:23Z
dc.date.available2019-07-22T13:37:23Z
dc.date.issued2011-01-25
dc.date.updated2019-07-22T13:37:23Z
dc.description.abstractWe provide a simple proof that graphs in a general class of self-similar networks have zero percolation threshold. The considered self-similar networks include random scale-free graphs with given expected node degrees and zero clustering, scale-free graphs with finite clustering and metric structure, growing scale-free networks, and many real networks. The proof and the derivation of the giant component size do not require the assumption that networks are treelike. Our results rely only on the observation that self-similar networks possess a hierarchy of nested subgraphs whose average degree grows with their depth in the hierarchy. We conjecture that this property is pivotal for percolation in networks.
dc.format.extent4 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec587359
dc.identifier.issn0031-9007
dc.identifier.urihttps://hdl.handle.net/2445/137858
dc.language.isospa
dc.publisherAmerican Physical Society
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1103/PhysRevLett.106.048701
dc.relation.ispartofPhysical Review Letters, 2011, vol. 106, num. 4, p. 048701
dc.relation.urihttps://doi.org/10.1103/PhysRevLett.106.048701
dc.rights(c) American Physical Society, 2011
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.sourceArticles publicats en revistes (Física de la Matèria Condensada)
dc.subject.classificationPercolació (Física estadística)
dc.subject.otherPercolation (Statistical physics)
dc.titlePercolation in self-similar networks
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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