English

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 pp 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 nn and on the degree of disorder pp. We propose that the average distance \ell between any two vertices of the network is a scaling function of n/nn / n^*. The crossover size nn^* above which the network behaves as a small-world is shown to scale as n(p1)pτn^*(p \ll 1) \sim p^{-\tau} with τ2/3\tau \approx 2/3.

Keywords

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