Almost optimal sparsification of random geometric graphs
Abstract
A random geometric irrigation graph has vertices identified by independent uniformly distributed points in the unit square . Each point selects neighbors at random, without replacement, among those points () for which , and the selected vertices are connected to by an edge. The number of the neighbors is an integer-valued random variable, chosen independently with identical distribution for each such that satisfies for a constant . We prove that when for with , then the random geometric irrigation graph experiences explosive percolation in the sense that when , then the largest connected component has size but if , then the size of the largest connected component is with high probability . This offers a natural non-centralized sparsification of a random geometric graph that is mostly connected.
Keywords
Cite
@article{arxiv.1403.1274,
title = {Almost optimal sparsification of random geometric graphs},
author = {Nicolas Broutin and Luc Devroye and Gabor Lugosi},
journal= {arXiv preprint arXiv:1403.1274},
year = {2014}
}