Kinetic Theory of Random Graphs

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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.
11 pages, short review

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Statistical Mechanics, Disordered Systems and Neural Networks

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http://salesiana.dossiersoluciones.com/handle/123456789/26051

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/0503420
 http://arxiv.org/abs/cond-mat/0503420
 AIP Conference Proceedings 776, 3 (2005)
 doi:10.1063/1.1985373

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arXiv