How to generate a random growing network
Statistical Mechanics
2007-05-23 v1
Abstract
We propose a construction procedure which generates a wide class of random evolving networks with fat-tailed degree distributions and an arbitrary clustering. This procedure applies the stochastic transformations of edges, which can be used as the basis of a real space renormalization group for evolving networks.
Keywords
Cite
@article{arxiv.cond-mat/0206132,
title = {How to generate a random growing network},
author = {S. N. Dorogovtsev and J. F. F. Mendes and A. N. Samukhin},
journal= {arXiv preprint arXiv:cond-mat/0206132},
year = {2007}
}
Comments
2 pages, a brief communication