corner
corner

Phys. Rev. Lett. 106, 048701 (2011) [4 pages]

Percolation in Self-Similar Networks

Download: PDF (273 kB) Buy this article Export: BibTeX or EndNote (RIS)

M. Ángeles Serrano1, Dmitri Krioukov2, and Marián Boguñá3
1Departament de Química Física, Universitat de Barcelona, Martí i Franquès 1, 08028, Barcelona, Spain
2Cooperative Association for Internet Data Analysis (CAIDA), University of California, San Diego (UCSD), 9500 Gilman Drive, La Jolla, California 92093, USA
3Departament de Física Fonamental, Universitat de Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain

Received 27 October 2010; published 25 January 2011

We provide a simple proof that graphs in a general class of self-similar networks have zero percolation threshold. The considered self-similar networks include random scale-free graphs with given expected node degrees and zero clustering, scale-free graphs with finite clustering and metric structure, growing scale-free networks, and many real networks. The proof and the derivation of the giant component size do not require the assumption that networks are treelike. Our results rely only on the observation that self-similar networks possess a hierarchy of nested subgraphs whose average degree grows with their depth in the hierarchy. We conjecture that this property is pivotal for percolation in networks.

© 2011 American Physical Society

URL:
http://link.aps.org/doi/10.1103/PhysRevLett.106.048701
DOI:
10.1103/PhysRevLett.106.048701
PACS:
89.75.Hc, 05.45.Df, 64.60.ah