Small-world networks: Evidence for a crossover picture
Statistical Mechanics
2009-10-31 v1 adap-org
Disordered Systems and Neural Networks
Adaptation and Self-Organizing Systems
Abstract
Watts and Strogatz [Nature 393, 440 (1998)] have recently introduced a model for disordered networks and reported that, even for very small values of the disorder in the links, the network behaves as a small-world. Here, we test the hypothesis that the appearance of small-world behavior is not a phase-transition but a crossover phenomenon which depends both on the network size and on the degree of disorder . We propose that the average distance between any two vertices of the network is a scaling function of . The crossover size above which the network behaves as a small-world is shown to scale as with .
Cite
@article{arxiv.cond-mat/9903108,
title = {Small-world networks: Evidence for a crossover picture},
author = {Marc Barthelemy and Luis A. N. Amaral},
journal= {arXiv preprint arXiv:cond-mat/9903108},
year = {2009}
}
Comments
5 pages, 5 postscript figures (1 in color), Latex/Revtex/multicols/epsf. Accepted for publication in Physical Review Letters