English

Jigsaw Percolation on Erdos-Renyi Random Graphs

Probability 2015-03-31 v2

Abstract

We extend the jigsaw percolation model to analyze graphs where both underlying people and puzzle graphs are Erd\H{o}s-R\'enyi random graphs. Let ppplp_{\text{ppl}} and ppuzp_{\text{puz}} denote the probability that an edge exists in the respective people and puzzle graphs and define peff=ppplppuzp_{\text{eff}}= p_{\text{ppl}}p_{\text{puz}}, the effective probability. We show for constants c1>1c_1>1 and c2>π2/6c_2> \pi^2/6 and c3<e5c_3<e^{-5} if min(pppl,ppuz)>c1logn/nmin(p_{\text{ppl}},p_{\text{puz}}) > c_1 \log n /n the critical effective probability peffcp^c_{\text{eff}}, satisfies c3<peffcnlogn<c2.c_3 < p^c_{\text{eff}}n\log n < c_2.

Keywords

Cite

@article{arxiv.1503.06346,
  title  = {Jigsaw Percolation on Erdos-Renyi Random Graphs},
  author = {Erik Slivken},
  journal= {arXiv preprint arXiv:1503.06346},
  year   = {2015}
}

Comments

Merged with arXiv:1503.05186

R2 v1 2026-06-22T08:58:45.588Z