English

Spreading and shortest paths in systems with sparse long-range connections

Disordered Systems and Neural Networks 2009-10-31 v1 Soft Condensed Matter Statistical Mechanics

Abstract

Spreading according to simple rules (e.g. of fire or diseases), and shortest-path distances are studied on d-dimensional systems with a small density p per site of long-range connections (``Small-World'' lattices). The volume V(t) covered by the spreading quantity on an infinite system is exactly calculated in all dimensions. We find that V(t) grows initially as t^d/d for t<< t^* = (2p \Gamma_d (d-1)!)^{-1/d} and later exponentially for t>>tt>>t^*, generalizing a previous result in one dimension. Using the properties of V(t), the average shortest-path distance \ell(r) can be calculated as a function of Euclidean distance r. It is found that \ell(r) = r for r<r_c=(2p \Gamma_d (d-1)!)^{-1/d} log(2p \Gamma_d L^d), and \ell(r) = r_c for r>r_c. The characteristic length r_c, which governs the behavior of shortest-path lengths, diverges with system size for all p>0. Therefore the mean separation s \sim p^{-1/d} between shortcut-ends is not a relevant internal length-scale for shortest-path lengths. We notice however that the globally averaged shortest-path length, divided by L, is a function of L/s only.

Keywords

Cite

@article{arxiv.cond-mat/9905322,
  title  = {Spreading and shortest paths in systems with sparse long-range connections},
  author = {Cristian F. Moukarzel},
  journal= {arXiv preprint arXiv:cond-mat/9905322},
  year   = {2009}
}

Comments

4 pages, 1 eps fig. Uses psfig

R2 v1 2026-07-22T12:12:03.603Z