The largest subcritical component in inhomogeneous random graphs of preferential attachment type

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Authors: Peter Mörters, Nick Schleicher
Cited by: 0
References: 9

Abstract

Abstract We identify the size of the largest connected component in a subcritical inhomogeneous random graph with a kernel of preferential attachment type. The component is polynomial in the graph size with an explicitly given exponent, which is strictly larger than the exponent for the largest degree in the graph. This is in stark contrast to the behaviour of inhomogeneous random graphs with a kernel of rank one. Our proof uses local approximation by branching random walks going well beyond the weak local limit and novel results on subcritical killed branching random walks.

Fields of Study & Subjects

Graph theory and applications Complex Network Analysis Techniques Stochastic processes and statistical mechanics

Publication details

Journal / source
Combinatorics Probability Computing
Publisher
Cambridge University Press (CUP)
Volume
35
Issue
3
Pages
414–432
Publication date
4 March 2026
Language
EN