Kinetic Theory of Random Graphs

dc.creatorBen-Naim, E.
dc.creatorKrapivsky, P. L.
dc.date2005-03-17
dc.date.accessioned2026-07-07T03:04:13Z
dc.date.available2026-07-07T03:04:13Z
dc.descriptionStatistical properties of evolving random graphs are analyzed using kinetic theory. Treating the linking process dynamically, structural characteristics such as links, paths, cycles, and components are obtained analytically using the rate equation approach. Scaling laws for finite systems are derived using extreme statistics and scaling arguments.
dc.description11 pages, short review
dc.identifierhttps://arxiv.org/abs/cond-mat/0503420
dc.identifierhttp://arxiv.org/abs/cond-mat/0503420
dc.identifierAIP Conference Proceedings 776, 3 (2005)
dc.identifierdoi:10.1063/1.1985373
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/26051
dc.subjectStatistical Mechanics
dc.subjectDisordered Systems and Neural Networks
dc.titleKinetic Theory of Random Graphs
dc.typetext

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