Connectivity of friends-and-strangers graphs on random pairs
Lanchao Wang, Yaojun Chen

TL;DR
This paper investigates the connectivity of friends-and-strangers graphs formed from two random graphs with different edge probabilities, establishing conditions under which these graphs are connected with high probability.
Contribution
It extends previous work by analyzing the asymmetric case where the two graphs have different probabilities, providing new threshold conditions for connectivity.
Findings
Connectivity threshold for asymmetric random graphs established
Connectivity occurs with high probability when p1*p2 ≥ n^{-1+o(1)}
Generalizes previous symmetric results to asymmetric cases
Abstract
Consider two graphs and , each with vertices. The friends-and-strangers graph of and is a graph with vertex set consisting of all bijections , where two bijections , are adjacent if and only if they differ precisely on two adjacent vertices of , and the corresponding mappings are adjacent in . The most fundamental question that one can ask about these friends-and-strangers graphs is whether or not they are connected. Alon, Defant, and Kravitz showed that if and are two independent random graphs in , then the threshold probability guaranteeing the connectedness of is , and suggested to investigate the general asymmetric situation, that is, and . In this paper, we show that if $p_1 p_2…
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Taxonomy
TopicsGraph theory and applications · Advanced Graph Theory Research · Cooperative Communication and Network Coding
