arXiv:cond-mat/0503420AbstractReferencesReviewsResources
Kinetic Theory of Random Graphs
Published 2005-03-17Version 1
Statistical 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.
Comments: 11 pages, short review
Journal: AIP Conference Proceedings 776, 3 (2005)
DOI: 10.1063/1.1985373
Categories: cond-mat.stat-mech, cond-mat.dis-nn
Keywords: kinetic theory, rate equation approach, evolving random graphs, extreme statistics, finite systems
Tags: journal article
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