Title

A simple branching process approach to the phase transition in Gn,p

Abstract

It is well known that the branching process approach to the study of the random graph Gn,p gives a very simple way of understanding the size of the giant component when it is fairly large (of order Θ(n)). Here we show that a variant of this approach works all the way down to the phase transition: we use branching process arguments to give a simple new derivation of the asymptotic size of the largest component whenever.

Publication Title

Electronic Journal of Combinatorics

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