Determining factors behind the PageRank log-log plot

dc.creatorVolkovich, Yana
dc.creatorLitvak, Nelly
dc.creatorDonato, Debora
dc.date2007-04-20
dc.date.accessioned2026-07-07T09:29:45Z
dc.date.available2026-07-07T09:29:45Z
dc.descriptionWe study the relation between PageRank and other parameters of information networks such as in-degree, out-degree, and the fraction of dangling nodes. We model this relation through a stochastic equation inspired by the original definition of PageRank. Further, we use the theory of regular variation to prove that PageRank and in-degree follow power laws with the same exponent. The difference between these two power laws is in a multiple coefficient, which depends mainly on the fraction of dangling nodes, average in-degree, the power law exponent, and damping factor. The out-degree distribution has a minor effect, which we explicitly quantify. Our theoretical predictions show a good agreement with experimental data on three different samples of the Web.
dc.identifierhttps://arxiv.org/abs/0704.2694
dc.identifierhttp://arxiv.org/abs/0704.2694
dc.identifierLNCS, Algorithms and Models for the Web-Graph,5th International Workshop, WAW 2007, San Diego, CA, USA, December 11-12, 2007. Proceedings
dc.identifierdoi:10.1007/978-3-540-77004-6_9
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/157904
dc.subjectProbability
dc.subject90B15, 68P10, 60J80
dc.titleDetermining factors behind the PageRank log-log plot
dc.typetext

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