Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2003-03-21
Physical Review E 68, 015102 (2003)
Physics
Condensed Matter
Statistical Mechanics
4 pages, no figures, RevTeX
Scientific paper
10.1103/PhysRevE.68.015102
We propose and investigate a unifying class of sparse random graph models, based on a hidden coloring of edge-vertex incidences, extending an existing approach, Random graphs with a given degree distribution, in a way that admits a nontrivial correlation structure in the resulting graphs. The approach unifies a number of existing random graph ensembles within a common general formalism, and allows for the analytic calculation of observable graph characteristics. In particular, generating function techniques are used to derive the size distribution of connected components (clusters) as well as the location of the percolation threshold where a giant component appears.
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