Estimating thresholds for asynchronous susceptible-infected-removed model on complex networks
Physics and Society
2024-02-19 v1
Abstract
We use the pair heterogeneous mean-field (PHMF) approximation for an asynchronous version of the susceptible-infected-removed (SIR) model to estimate the epidemic thresholds on complex quenched networks. Our results indicate an improvement compared to the heuristic heterogeneous mean-field theory developed for one vertex (HMF) when the dynamic evolves on top random regular and power-law networks. However, there is a slight overestimation of the transition point for the later network type. We also analyze scaling for random regular networks near the thresholds. For this region, collapses were shown at the subcritical and supercritical phases.
Keywords
Cite
@article{arxiv.2402.10863,
title = {Estimating thresholds for asynchronous susceptible-infected-removed model on complex networks},
author = {D. S. M. Alencar and T. F. A. Alves and F. W. S. Lima and R. S. Ferreira and G. A. Alves and A. Macedo-Filho},
journal= {arXiv preprint arXiv:2402.10863},
year = {2024}
}