Jigsaw Percolation on Erdos-Renyi Random Graphs

preprint2015arXivOpen access

Abstract

We extend the jigsaw percolation model to analyze graphs where both underlying people and puzzle graphs are Erdős-Rényi 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> π^2/6 and c3<e−5c_3<e^{-5} if min(pppl,ppuz)>c1log⁡n/nmin(p_{\text{ppl}},p_{\text{puz}}) > c_1 \log n /n the critical effective probability peffcp^c_{\text{eff}}, satisfies c3<peffcnlog⁡n<c2.c_3 < p^c_{\text{eff}}n\log n < c_2.

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