English

Exactly solvable analogy of small-world networks

Statistical Mechanics 2009-10-31 v1

Abstract

We present an exact description of a crossover between two different regimes of simple analogies of small-world networks. Each of the sites chosen with a probability pp from nn sites of an ordered system defined on a circle is connected to all other sites selected in such a way. Every link is of a unit length. Thus, while pp changes from 0 to 1, an averaged shortest distance between a pair of sites changes from ˉn\bar{\ell} \sim n to ˉ=1\bar{\ell} = 1. We find the distribution of the shortest distances P()P(\ell) and obtain a scaling form of ˉ(p,n)\bar{\ell}(p,n). In spite of the simplicity of the models under consideration, the results appear to be surprisingly close to those obtained numerically for usual small-world networks.

Keywords

Cite

@article{arxiv.cond-mat/9907445,
  title  = {Exactly solvable analogy of small-world networks},
  author = {S. N. Dorogovtsev and J. F. F. Mendes},
  journal= {arXiv preprint arXiv:cond-mat/9907445},
  year   = {2009}
}

Comments

4 pages with 3 postscript figures