Fast generation of random connected graphs with prescribed degrees

dc.creatorViger, Fabien
dc.creatorLatapy, Matthieu
dc.date2005-02-22
dc.date.accessioned2026-07-07T03:22:33Z
dc.date.available2026-07-07T03:22:33Z
dc.descriptionWe address here the problem of generating random graphs uniformly from the set of simple connected graphs having a prescribed degree sequence. Our goal is to provide an algorithm designed for practical use both because of its ability to generate very large graphs (efficiency) and because it is easy to implement (simplicity). We focus on a family of heuristics for which we prove optimality conditions, and show how this optimality can be reached in practice. We then propose a different approach, specifically designed for typical real-world degree distributions, which outperforms the first one. Assuming a conjecture which we state and argue rigorously, we finally obtain an log-linear algorithm, which, in spite of being very simple, improves the best known complexity.
dc.identifierhttps://arxiv.org/abs/cs/0502085
dc.identifierhttp://arxiv.org/abs/cs/0502085
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32640
dc.subjectNetworking and Internet Architecture
dc.subjectDisordered Systems and Neural Networks
dc.subjectDiscrete Mathematics
dc.subjectG.2.2
dc.titleFast generation of random connected graphs with prescribed degrees
dc.typetext

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