Estimating thresholds for asynchronous susceptible-infected-removed model on complex networks

Fuente: arXiv
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Hauptverfasser: Alencar, D. S. M., Alves, T. F. A., Lima, F. W. S., Ferreira, R. S., Alves, G. A., Macedo-Filho, A.
Format: Preprint
Veröffentlicht: 2024
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author Alencar, D. S. M.
Alves, T. F. A.
Lima, F. W. S.
Ferreira, R. S.
Alves, G. A.
Macedo-Filho, A.
author_facet Alencar, D. S. M.
Alves, T. F. A.
Lima, F. W. S.
Ferreira, R. S.
Alves, G. A.
Macedo-Filho, A.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2402_10863
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Estimating thresholds for asynchronous susceptible-infected-removed model on complex networks
Alencar, D. S. M.
Alves, T. F. A.
Lima, F. W. S.
Ferreira, R. S.
Alves, G. A.
Macedo-Filho, A.
Physics and Society
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.
title Estimating thresholds for asynchronous susceptible-infected-removed model on complex networks
topic Physics and Society
url https://arxiv.org/abs/2402.10863