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

TL;DR

This paper analyzes spreading dynamics and shortest-path distances in small-world lattices with sparse long-range connections, deriving exact formulas for volume growth and shortest-path behavior across different dimensions.

Contribution

It provides exact calculations of spreading volume and shortest-path distances in small-world systems, generalizing previous one-dimensional results to higher dimensions.

Findings

Volume V(t) grows as t^d/d initially and exponentially later.

Shortest-path length (r) equals r for small r and saturates at r_c for large r.

Characteristic length r_c diverges with system size for all p>0.

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 $t>>t^*$, 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.