Large cliques in a power-law random graph

dc.creatorJanson, Svante
dc.creatorŁuczak, Tomasz
dc.creatorNorros, Ilkka
dc.date2009-05-05
dc.date.accessioned2026-07-07T13:11:51Z
dc.date.available2026-07-07T13:11:51Z
dc.descriptionWe study the size of the largest clique $ω(G(n,α))$ in a random graph $G(n,α)$ on $n$ vertices which has power-law degree distribution with exponent $α$. We show that for `flat' degree sequences with $α>2$ whp the largest clique in $G(n,α)$ is of a constant size, while for the heavy tail distribution, when $0<α<2$, $ω(G(n,α))$ grows as a power of $n$. Moreover, we show that a natural simple algorithm whp finds in $G(n,α)$ a large clique of size $(1+o(1))ω(G(n,α))$ in polynomial time.
dc.description13 pages
dc.identifierhttps://arxiv.org/abs/0905.0561
dc.identifierhttp://arxiv.org/abs/0905.0561
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/229417
dc.subjectCombinatorics
dc.subjectProbability
dc.subject05C80; 05C69, 60C05
dc.titleLarge cliques in a power-law random graph
dc.typetext

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