Phase transitions for contact processes on sparse random graphs via metastability and local limits

We propose a new perspective on the asymptotic regimes of fast and slow extinction in the contact process on locally converging sequences of sparse finite graphs. We characterise the phase boundary by the existence of a metastable density, which makes the study of the phase transition particularly amenable to local-convergence techniques. We use this approach to derive general conditions for the coincidence of the critical threshold with the survival/extinction threshold in the local limit. We further argue that the correct time scale to separate fast extinction from slow extinction in sparse graphs is, in general, the exponential scale, by showing that fast extinction may occur on stretched exponential time scales in sparse scale-free spatial networks. Together with recent results by Nam, Nguyen and Sly (Trans. Am. Math. Soc. 375, 2022), our methods can be applied to deduce that the fast/slow threshold in sparse configuration models coincides with the survival/extinction threshold on the limiting Galton-Watson tree.

Publication Details

Journal
Weierstraß-Institut für Angewandte Analysis und Stochastik
Published
2025-01-01
DOI
https://doi.org/10.20347/wias.preprint.3199
Primary Topic
Complex Network Analysis Techniques
Type
article
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article

Phase transitions for contact processes on sparse random graphs via metastability and local limits

Weierstraß-Institut für Angewandte Analysis und Stochastik
Complex Network Analysis Techniques
article

Phase transitions for contact processes on sparse random graphs via metastability and local limits

article en

Abstract

We propose a new perspective on the asymptotic regimes of fast and slow extinction in the contact process on locally converging sequences of sparse finite graphs. We characterise the phase boundary by the existence of a metastable density, which makes the study of the phase transition particularly amenable to local-convergence techniques. We use this approach to derive general conditions for the coincidence of the critical threshold with the survival/extinction threshold in the local limit. We further argue that the correct time scale to separate fast extinction from slow extinction in sparse graphs is, in general, the exponential scale, by showing that fast extinction may occur on stretched exponential time scales in sparse scale-free spatial networks. Together with recent results by Nam, Nguyen and Sly (Trans. Am. Math. Soc. 375, 2022), our methods can be applied to deduce that the fast/slow threshold in sparse configuration models coincides with the survival/extinction threshold on the limiting Galton-Watson tree.

Weierstraß-Institut für Angewandte Analysis und Stochastik
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Complex Network Analysis Techniques
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Phase transitions for contact processes on sparse random graphs via metastability and local limits · Weierstraß-Institut für Angewandte Analysis und Stochastik (2025) | TGRS Research Map | TGRS