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Kinetic Theory of Random Graphs

2005/03/17 by E. Ben-Naim, P. L. Krapivsky
Physics and Astronomy · #cond-mat.stat-mech #cond-mat.dis-nn

paper · pdf · doi:10.1063/1.1985373

published as AIP Conference Proceedings 776, 3 (2005) · 11 pages, short review

arxiv created 2005/03/17 · arxiv updated 2009/12/01

Abstract

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.

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