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      Critical random graphs: Diameter and mixing time

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          Abstract

          Let \(\mathcal{C}_1\) denote the largest connected component of the critical Erd\H{o}s--R\'{e}nyi random graph \(G(n,{\frac{1}{n}})\). We show that, typically, the diameter of \(\mathcal{C}_1\) is of order \(n^{1/3}\) and the mixing time of the lazy simple random walk on \(\mathcal{C}_1\) is of order \(n\). The latter answers a question of Benjamini, Kozma and Wormald. These results extend to clusters of size \(n^{2/3}\) of \(p\)-bond percolation on any \(d\)-regular \(n\)-vertex graph where such clusters exist, provided that \(p(d-1)\le1+O(n^{-1/3})\).

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          The phase transition in inhomogeneous random graphs

          We introduce a very general model of an inhomogenous random graph with independence between the edges, which scales so that the number of edges is linear in the number of vertices. This scaling corresponds to the p=c/n scaling for G(n,p) used to study the phase transition; also, it seems to be a property of many large real-world graphs. Our model includes as special cases many models previously studied. We show that under one very weak assumption (that the expected number of edges is `what it should be'), many properties of the model can be determined, in particular the critical point of the phase transition, and the size of the giant component above the transition. We do this by relating our random graphs to branching processes, which are much easier to analyze. We also consider other properties of the model, showing, for example, that when there is a giant component, it is `stable': for a typical random graph, no matter how we add or delete o(n) edges, the size of the giant component does not change by more than o(n).
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            Brownian excursions, critical random graphs and the multiplicative coalescent

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              The Diameter of Sparse Random Graphs

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                Author and article information

                Journal
                10 January 2007
                2008-08-27
                Article
                10.1214/07-AOP358
                math/0701316
                051ecced-d05b-4acf-891b-13f3d69c7f11

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                05C80, 82B43, 60C05 (Primary)
                IMS-AOP-AOP358
                Annals of Probability 2008, Vol. 36, No. 4, 1267-1286
                Published in at http://dx.doi.org/10.1214/07-AOP358 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
                math.PR math.CO

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