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Article Dans Une Revue The Annals of Applied Probability Année : 2016

The densest subgraph problem in sparse random graphs

Résumé

We determine the asymptotic behavior of the maximum subgraph density of large random graphs with a prescribed degree sequence. The result applies in particular to the Erd\H{o}s-Rényi model, where it settles a conjecture of Hajek (1990). Our proof consists in extending the notion of balanced loads from finite graphs to their local weak limits, using unimodularity. This is a new illustration of the objective method described by Aldous and Steele (2004).
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Dates et versions

hal-00919079 , version 1 (16-12-2013)

Identifiants

Citer

Venkat Anantharam, Justin Salez. The densest subgraph problem in sparse random graphs. The Annals of Applied Probability, 2016, 26 (1), pp.305-327. ⟨10.1214/14-AAP1091⟩. ⟨hal-00919079⟩
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