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Percolation and epidemic thresholds in clustered networks

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dc.creator Serrano Moral, Ma. Ángeles (María Ángeles)
dc.creator Boguñá, Marián
dc.date 2010-07-05T10:13:14Z
dc.date 2010-07-05T10:13:14Z
dc.date 2006
dc.date.accessioned 2024-12-16T10:24:37Z
dc.date.available 2024-12-16T10:24:37Z
dc.identifier 0031-9007
dc.identifier http://hdl.handle.net/2445/13288
dc.identifier 557921
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/18014
dc.description We 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.
dc.format 4 p.
dc.format application/pdf
dc.language eng
dc.publisher American Physical Society
dc.relation Reproducció digital del document proporcionada per PROLA i http://dx.doi.org/10.1103/PhysRevLett.97.088701
dc.relation Physical Review Letters, 2006, vol. 97, núm. 8, p. 088701-1-088701-4
dc.relation http://dx.doi.org/10.1103/PhysRevLett.97.088701
dc.rights (c) American Physical Society, 2006
dc.rights info:eu-repo/semantics/openAccess
dc.source Articles publicats en revistes (Física de la Matèria Condensada)
dc.subject Física estadística
dc.subject Percolació (Física estadística)
dc.subject Statistical physics
dc.subject Percolation (Statistical physics)
dc.title Percolation and epidemic thresholds in clustered networks
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/publishedVersion


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