On the accuracy of population level approximation of network processes

Fuente: arXiv
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Auteurs principaux: Nagy, Noémi, Horváth, Sándor, Maga, Balázs, Simon, Péter L.
Format: Preprint
Publié: 2025
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author Nagy, Noémi
Horváth, Sándor
Maga, Balázs
Simon, Péter L.
author_facet Nagy, Noémi
Horváth, Sándor
Maga, Balázs
Simon, Péter L.
contents The individual-based model of simple contagion processes is considered on regular graphs. This model explicitly incorporates the adjacency matrix of the network enabling us to study the effect of network structure on the dynamic of the propagation process. While the asymptotic behaviour of the model is well known, the transient behaviour has been less studied. Our goal in this paper is to give a theoretical estimate on the accuracy of the one-dimensional population-level approximation. This is carried out for arbitrary simple contagion processes and regular Turán graphs. Numerical evidence is shown that the theoretical estimate is rather sharp for dense graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2512_07995
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On the accuracy of population level approximation of network processes
Nagy, Noémi
Horváth, Sándor
Maga, Balázs
Simon, Péter L.
Physics and Society
Dynamical Systems
Primary: 34C60, Secondary: 92C42
The individual-based model of simple contagion processes is considered on regular graphs. This model explicitly incorporates the adjacency matrix of the network enabling us to study the effect of network structure on the dynamic of the propagation process. While the asymptotic behaviour of the model is well known, the transient behaviour has been less studied. Our goal in this paper is to give a theoretical estimate on the accuracy of the one-dimensional population-level approximation. This is carried out for arbitrary simple contagion processes and regular Turán graphs. Numerical evidence is shown that the theoretical estimate is rather sharp for dense graphs.
title On the accuracy of population level approximation of network processes
topic Physics and Society
Dynamical Systems
Primary: 34C60, Secondary: 92C42
url https://arxiv.org/abs/2512.07995