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Generating simple random graphs with prescribed degree distribution

Probability 2015-09-30 v1

Abstract

Let FF be a probability distribution with support on the non-negative integers. Four methods for generating a simple undirected graph with (approximate) degree distribution FF are described and compared. Two methods are based on the so called configuration model with modifications ensuring a simple graph, one method is an extension of the classical Erd\H{o}s-R\'{e}nyi graph where the edge probabilities are random variables, and the last method starts with a directed random graph which is then modified to a simple undirected graph. All methods are shown to give the correct distribution in the limit of large graph size, but under different assumptions on the degree distribution FF and also using different order of operations.

Keywords

Cite

@article{arxiv.1509.06985,
  title  = {Generating simple random graphs with prescribed degree distribution},
  author = {Tom Britton and Maria Deijfen and Anders Martin-Löf},
  journal= {arXiv preprint arXiv:1509.06985},
  year   = {2015}
}
R2 v1 2026-06-22T11:03:38.674Z