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oai:recercat.cat:2445/132882025-11-19T20:26:11Zcom_2072_1057col_2072_478822col_2072_478917

Percolation and epidemic thresholds in clustered networks Serrano Moral, Ma. Ángeles (María Ángeles) Boguñá, Marián Física estadística Percolació (Física estadística) Statistical physics Percolation (Statistical physics) 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. 2010-07-05T10:13:14Z 2010-07-05T10:13:14Z 2006 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Reproducció digital del document proporcionada per PROLA i http://dx.doi.org/10.1103/PhysRevLett.97.088701 Physical Review Letters, 2006, vol. 97, núm. 8, p. 088701-1-088701-4 http://dx.doi.org/10.1103/PhysRevLett.97.088701 (c) American Physical Society, 2006 info:eu-repo/semantics/openAccess American Physical Society Articles publicats en revistes (Física de la Matèria Condensada)