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dc.contributor.authorSerrano Moral, Ma. Ángeles (María Ángeles)cat
dc.contributor.authorBoguñá, Mariáncat
dc.description.abstractWe develop a theoretical approach to percolation in random clustered networks. We find that, although clustering in scale-free networks can strongly affect some percolation properties, such as the size and the resilience of the giant connected component, it cannot restore a finite percolation threshold. In turn, this implies the absence of an epidemic threshold in this class of networks, thus extending this result to a wide variety of real scale-free networks which shows a high level of transitivity. Our findings are in good agreement with numerical simulations.eng
dc.format.extent4 p.-
dc.publisherAmerican Physical Societycat
dc.relation.isformatofReproducció digital del document proporcionada per PROLA i
dc.relation.ispartofPhysical Review Letters, 2006, vol. 97, núm. 8, p. 088701-1-088701-4cat
dc.rights(c) American Physical Society, 2006cat
dc.sourceArticles publicats en revistes (Física de la Matèria Condensada)-
dc.subject.classificationFísica estadísticacat
dc.subject.classificationPercolació (Física estadística)cat
dc.subject.otherStatistical physicseng
dc.subject.otherPercolation (Statistical physics)eng
dc.titlePercolation and epidemic thresholds in clustered networkseng
Appears in Collections:Articles publicats en revistes (Física de la Matèria Condensada)

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