Correlation effects in a simple model of small-world network
Disordered Systems and Neural Networks
2009-10-31 v3
Abstract
We analyze the effect of correlations in a simple model of small world network by obtaining exact analytical expressions for the distribution of shortest paths in the network. We enter correlations into a simple model with a distinguished site, by taking the random connections to this site from an Ising distribution. Our method shows how the transfer matrix technique can be used in the new context of small world networks.
Cite
@article{arxiv.cond-mat/0012313,
title = {Correlation effects in a simple model of small-world network},
author = {V. Karimipour and A. Ramezanpour},
journal= {arXiv preprint arXiv:cond-mat/0012313},
year = {2009}
}
Comments
10 pages, 3 figures