Critical stretching of mean-field regimes in spatial networks
Physics and Society
2019-08-28 v2 Disordered Systems and Neural Networks
Statistical Mechanics
Abstract
We study a spatial network model with exponentially distributed link-lengths on an underlying grid of points, undergoing a structural crossover from a random, Erd\H{o}s--R\'enyi graph to a lattice at the characteristic interaction range . We find that, whilst far from the percolation threshold the random part of the incipient cluster scales linearly with , close to criticality it extends in space until the universal length scale before crossing over to the spatial one. We demonstrate this {\em critical stretching} phenomenon in percolation and in dynamical processes, and we discuss its implications to real-world phenomena, such as neural activation, traffic flows or epidemic spreading.
Keywords
Cite
@article{arxiv.1704.00268,
title = {Critical stretching of mean-field regimes in spatial networks},
author = {Ivan Bonamassa and Bnaya Gross and Michael M. Danziger and Shlomo Havlin},
journal= {arXiv preprint arXiv:1704.00268},
year = {2019}
}
Comments
Manuscript with supplementary information attached