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Random Structures and Algorithms
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Random graphs with forbidden vertex degrees

Authors: Geoffrey R. Grimmett; Svante Janson;

Random graphs with forbidden vertex degrees

Abstract

AbstractWe study the random graph Gn,λ/n conditioned on the event that all vertex degrees lie in some given subset $ {\cal S} $ of the nonnegative integers. Subject to a certain hypothesis on $ {\cal S} $, the empirical distribution of the vertex degrees is asymptotically Poisson with some parameter $ \hat{\mu} $ given as the root of a certain “characteristic equation” of $ {\cal S} $ that maximizes a certain function $ {\psi_{\cal S}(\mu)} $. Subject to a hypothesis on $ {\cal S} $, we obtain a partial description of the structure of such a random graph, including a condition for the existence (or not) of a giant component. The requisite hypothesis is in many cases benign, and applications are presented to a number of choices for the set $ {\cal S} $ including the sets of (respectively) even and odd numbers. © 2010 Wiley Periodicals, Inc. Random Struct. Alg., 2010

Keywords

Extremal problems in graph theory, Probability (math.PR), Random graphs (graph-theoretic aspects), Vertex degrees, 05C80, 05C07, even graph, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), Mathematics - Probability, random graph, random-cluster model

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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!
6
Top 10%
Top 10%
Average
Green
bronze