Subgraphs of dense random graphs with specified degrees

Brendan D. McKay*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    27 Citations (Scopus)

    Abstract

    Let d = (d1, d2,dn) be a vector of non-negative integers with even sum. We prove some basic facts about the structure of a random graph with degree sequence d, including the probability of a given subgraph or induced subgraph. Although there are many results of this kind, they are restricted to the sparse case with only a few exceptions. Our focus is instead on the case where the average degree is approximately a constant fraction of n. Our approach is the multidimensional saddle-point method. This extends the enumerative work of McKay and Wormald (1990) and is analogous to the theory developed for bipartite graphs by Greenhill and McKay (2009).

    Original languageEnglish
    Pages (from-to)413-433
    Number of pages21
    JournalCombinatorics Probability and Computing
    Volume20
    Issue number3
    DOIs
    Publication statusPublished - May 2011

    Fingerprint

    Dive into the research topics of 'Subgraphs of dense random graphs with specified degrees'. Together they form a unique fingerprint.

    Cite this