Contagious sets in a degree-proportional bootstrap percolation process
Abstract
We study the following bootstrap percolation process: given a connected graph , a constant and an initial set of \emph{infected} vertices, at each step a vertex~ becomes infected if at least a -proportion of its neighbours are already infected (once infected, a vertex remains infected forever). Our focus is on the size of a smallest initial set which is \emph{contagious}, meaning that this process results in the infection of every vertex of . Our main result states that every connected graph on vertices has or (note that allowing the latter possibility is necessary because of the case , as every contagious set has size at least one). This is the best-possible bound of this form, and improves on previous results of Chang and Lyuu and of Gentner and Rautenbach. We also provide a stronger bound for graphs of girth at least five and sufficiently small , which is asymptotically best-possible.
Keywords
Cite
@article{arxiv.1610.06144,
title = {Contagious sets in a degree-proportional bootstrap percolation process},
author = {Frederik Garbe and Andrew McDowell and Richard Mycroft},
journal= {arXiv preprint arXiv:1610.06144},
year = {2018}
}
Comments
14 pages, 1 figure