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Title: Clustering in complex networks. II. Percolation properties
Author: Serrano Moral, Ma. Ángeles (María Ángeles)
Boguñá, Marián
Keywords: Física
Física mèdica
Sistemes no lineals
Medical physics
Nonlinear systems
Issue Date: 2006
Publisher: The American Physical Society
Abstract: The percolation properties of clustered networks are analyzed in detail. In the case of weak clustering, we present an analytical approach that allows us to find the critical threshold and the size of the giant component. Numerical simulations confirm the accuracy of our results. In more general terms, we show that weak clustering hinders the onset of the giant component whereas strong clustering favors its appearance. This is a direct consequence of the differences in the k-core structure of the networks, which are found to be totally different depending on the level of clustering. An empirical analysis of a real social network confirms our predictions.
Note: Reproducció del document publicat a:
It is part of: Physical Review E, 2006, vol. 74, núm. 5, p. 056115-1-056115-8
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ISSN: 1063-651X
Appears in Collections:Articles publicats en revistes (Física de la Matèria Condensada)

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