Diameters in supercritical random graphs via first passage percolation
Jian Ding, Jeong Han Kim, Eyal Lubetzky, Yuval Peres

TL;DR
This paper determines the asymptotic behavior of the diameter of the largest component in supercritical Erdős-Rényi graphs for a broad range of parameters, using first passage percolation techniques.
Contribution
It provides the first proof of the diameter's asymptotics throughout the emerging supercritical phase, extending previous results to a wider parameter regime.
Findings
Diameter asymptotic to (3/ε) log(ε^3 n) in the supercritical phase
Diameter of the 2-core is asymptotic to (2/3)D(ε,n)
Max distance between kernel vertices is asymptotic to (5/9)D(ε,n)
Abstract
We study the diameter of , the largest component of the Erd\H{o}s-R\'enyi random graph in the emerging supercritical phase, i.e., for where and . This parameter was extensively studied for fixed , yet results for outside the critical window were only obtained very recently. Prior to this work, Riordan and Wormald gave precise estimates on the diameter, however these did not cover the entire supercritical regime (namely, when arbitrarily slowly). {\L}uczak and Seierstad estimated its order throughout this regime, yet their upper and lower bounds differed by a factor of . We show that throughout the emerging supercritical phase, i.e. for any with , the diameter of is with high probability asymptotic…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Complex Network Analysis Techniques · Markov Chains and Monte Carlo Methods
