The phase transition in a random hypergraph
Journal of Computational and Applied Mathematics - Special issue: Probabilistic methods in combinatorics and combinatorial optimization
Counting connected graphs inside-out
Journal of Combinatorial Theory Series B
The phase transition in the cluster-scaled model of a random graph
Random Structures & Algorithms
Counting connected graphs and hypergraphs via the probabilistic method
Random Structures & Algorithms
The order of the giant component of random hypergraphs
Random Structures & Algorithms
The phase transition in the configuration model
Combinatorics, Probability and Computing
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Recently, we adapted random walk arguments based on work of Nachmias and Peres, Martin-Löf, Karp and Aldous to give a simple proof of the asymptotic normality of the size of the giant component in the random graph G(n,p) above the phase transition. Here we show that the same method applies to the analogous model of random k -uniform hypergraphs, establishing asymptotic normality throughout the (sparse) supercritical regime. Previously, asymptotic normality was known only towards the two ends of this regime. © 2012 Wiley Periodicals, Inc. Random Struct. Alg., 2012 © 2012 Wiley Periodicals, Inc.