2026-04-17T01:47:43Zhttps://recercat.cat/oai/request

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

00925njm 22002777a 4500 dc Serrano Moral, Ma. Ángeles (María Ángeles) author Boguñá, Marián author 2010-07-05T10:13:14Z 2010-07-05T10:13:14Z 2006 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. Física estadística Percolació (Física estadística) Statistical physics Percolation (Statistical physics) Percolation and epidemic thresholds in clustered networks