The densest subgraph problem in sparse random graphs - Archive ouverte HAL
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 Erdős–Rényi model, where it settles a conjecture of Hajek [IEEE Trans. Inform. Theory 36 (1990) 1398–1414]. 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 [In Probability on Discrete Structures (2004) 1–72 Springer].
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Dates et versions

hal-01361829 , version 1 (07-09-2016)

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  • HAL Id : hal-01361829 , version 1

Citer

Justin Salez, Venkat Anantharam. The densest subgraph problem in sparse random graphs. The Annals of Applied Probability, 2016, 26 (1), pp.305-327. ⟨hal-01361829⟩
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