English

Contagious Sets in Random Graphs

Probability 2016-02-05 v1 Combinatorics

Abstract

We consider the following activation process in undirected graphs: a vertex is active either if it belongs to a set of initially activated vertices or if at some point it has at least rr active neighbors. A \emph{contagious set} is a set whose activation results with the entire graph being active. Given a graph GG, let m(G,r)m(G,r) be the minimal size of a contagious set. We study this process on the binomial random graph G:=G(n,p)G:=G(n,p) with p:=dnp: = \frac{d}{n} and 1d(nloglognlog2n)r1r1 \ll d \ll \left(\frac{n \log \log n}{\log^2 n}\right)^{\frac{r-1}{r}}. Assuming r>1r > 1 to be a constant that does not depend on nn, we prove that m(G,r)=Θ(ndrr1logd),m(G,r) = \Theta\left(\frac{n}{d^{\frac{r}{r-1}}\log d}\right), with high probability. We also show that the threshold probability for m(G,r)=rm(G,r)=r to hold is p=Θ(1(nlogr1n)1/r)p^*=\Theta\left(\frac{1}{(n \log^{r-1} n)^{1/r}}\right).

Keywords

Cite

@article{arxiv.1602.01751,
  title  = {Contagious Sets in Random Graphs},
  author = {Uriel Feige and Michael Krivelevich and Daniel Reichman},
  journal= {arXiv preprint arXiv:1602.01751},
  year   = {2016}
}
R2 v1 2026-06-22T12:43:42.079Z