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Journal ArticleDOI

Asymptotic enumeration by degree sequence of graphs with degrees o(n1/2)

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TLDR
The method used is a switching argument recently used by us to uniformly generate random graphs with given degree sequences to determine the asymptotic number of unlabelled graphs with a given degree sequence.
Abstract
We determine the asymptotic number of labelled graphs with a given degree sequence for the case where the maximum degree iso(|E(G)|1/3). The previously best enumeration, by the first author, required maximum degreeo(|E(G)|1/4). In particular, ifk=o(n 1/2), the number of regular graphs of degreek and ordern is asymptotically $$\frac{{(nk)!}}{{(nk/2)!2^{nk/2} (k!)^n }}\exp \left( { - \frac{{k^2 - 1}}{4} - \frac{{k^3 }}{{12n}} + 0\left( {k^2 /n} \right)} \right).$$ Under slightly stronger conditions, we also determine the asymptotic number of unlabelled graphs with a given degree sequence. The method used is a switching argument recently used by us to uniformly generate random graphs with given degree sequences.

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Citations
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Book ChapterDOI

Surveys in Combinatorics, 1999: Models of Random Regular Graphs

TL;DR: This is a survey of results on properties of random regular graphs, together with an exposition of some of the main methods of obtaining these results.
MonographDOI

Introduction to random graphs

TL;DR: All those interested in discrete mathematics, computer science or applied probability and their applications will find this an ideal introduction to the subject.
Journal ArticleDOI

Sudden Emergence of a Giantk-Core in a Random Graph

TL;DR: These proofs are based on the probabilistic analysis of an edge deletion algorithm that always find ak-core if the graph has one, and demonstrate that, unlike the 2-core, when ak- core appears for the first time it is very likely to be giant, of size ?pk(?k)n.
Journal ArticleDOI

A sequential importance sampling algorithm for generating random graphs with prescribed degrees

TL;DR: An extension of a combinatorial characterization due to Erdős and Gallai is used to develop a sequential algorithm for generating a random labeled graph with a given degree sequence, which allows for surprisingly efficient sequential importance sampling.
References
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Journal ArticleDOI

Uniform generation of random regular graphs of moderate degree

TL;DR: This paper shows how to generate k -regular graphs on n vertices uniformly at random in expected time O ( nk 3), provided k = O(n 1 3 ) .
Journal ArticleDOI

Asymptotic enumeration by degree sequence of graphs of high degree

TL;DR: This work considers the estimation of the number of labelled simple graphs with degree sequence d 1, d 2, . . . , d n by using an n-dimensional Cauchy integral and gives as a corollary the asymptotic joint distribution function of the degrees of a random graph.
Journal ArticleDOI

Automorphisms of random graphs with specified vertices

TL;DR: Conditions are found under which the expected number of automorphisms of a large random labelled graph with a given degree sequence is close to 1, which produces an asymptotic formula for the number of unlabelledk-regular simple graphs onn vertices, as well as various asymPTotic results on the probable connectivity and girth of such graphs.