English

Scale-Free Networks are Ultrasmall

Disordered Systems and Neural Networks 2009-11-07 v2

Abstract

We study the diameter, or the mean distance between sites, in a scale-free network, having N sites and degree distribution p(k) ~ k^-a, i.e. the probability of having k links outgoing from a site. In contrast to the diameter of regular random networks or small world networks which is known to be d ~ lnN, we show, using analytical arguments, that scale free networks with 2<a<3 have a much smaller diameter, behaving as d ~ lnlnN. For a=3, our analysis yields d ~ lnN/lnlnN, as obtained by Bollobas and Riordan, while for a>3, d ~ lnN. We also show that, for any a>2, one can construct a deterministic scale free network with d ~ lnlnN, and this construction yields the lowest possible diameter.

Keywords

Cite

@article{arxiv.cond-mat/0205476,
  title  = {Scale-Free Networks are Ultrasmall},
  author = {Reuven Cohen and Shlomo Havlin},
  journal= {arXiv preprint arXiv:cond-mat/0205476},
  year   = {2009}
}

Comments

Latex, 4 pages, 2 eps figures, small corrections, added explanations

R2 v1 2026-07-22T10:37:22.541Z