Serrano Moral, Ma. Ángeles (María Ángeles)Boguñá, Marián2010-07-052010-07-0520060031-9007https://hdl.handle.net/2445/13288We 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.4 p.application/pdfeng(c) American Physical Society, 2006Física estadísticaPercolació (Física estadística)Statistical physicsPercolation (Statistical physics)info:eu-repo/semantics/article557921info:eu-repo/semantics/openAccess