Title
Percolation In Self-Similar Networks
Abstract
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.
Year
DOI
Venue
2010
10.1103/PhysRevLett.106.048701
PHYSICAL REVIEW LETTERS
Keywords
Field
DocType
scale free,percolation threshold,scale free network,giant component
Discrete mathematics,Percolation critical exponents,Giant component,Complex network,Degree distribution,Percolation threshold,Percolation,Clique percolation method,Continuum percolation theory,Condensed matter physics,Physics
Journal
Volume
Issue
ISSN
106
4
0031-9007
Citations 
PageRank 
References 
3
0.40
0
Authors
3
Name
Order
Citations
PageRank
M. Ángeles Serrano130.40
Dmitri Krioukov2684.30
Marián Boguñá31117.39