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Random Structures and Algorithms
Article . 2013 . Peer-reviewed
License: Wiley Online Library User Agreement
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2014
Data sources: zbMATH Open
DBLP
Article . 2014
Data sources: DBLP
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Interference percolation

Authors: Paul Balister; Béla Bollobás;

Interference percolation

Abstract

AbstractLet G be an infinite connected graph with minimum degree δ and maximum degree Δ. Let Gp be a random induced subgraph of G obtained by selecting each vertex of G independently with probability p, , and let be the induced subgraph of Gp obtained by deleting all vertices of Gp with degree greater than k in Gp. We show that if and is not too large then almost surely has no infinite component. Moreover, this result is essentially best possible since there are examples where has an infinite component (a) when , 4, or 5, and k = 3; (b) when for any δ and k = 3; and (c) when for any and . In addition, we show that if G is the d‐dimensional lattice then almost surely has an infinite component for sufficiently large d. © 2014 Wiley Periodicals, Inc. Random Struct. Alg. 44, 399–418, 2014

Related Organizations
Keywords

Connectivity, Extremal problems in graph theory, percolation, Random graphs (graph-theoretic aspects), Small world graphs, complex networks (graph-theoretic aspects)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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