Individual based SIS models on (not so) dense large random networks
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| _version_ | 1866913493328855040 |
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| author | Delmas, Jean-François Frasca, Paolo Garin, Federica Tran, Viet Chi Velleret, Aurélien Zitt, Pierre-André |
| author_facet | Delmas, Jean-François Frasca, Paolo Garin, Federica Tran, Viet Chi Velleret, Aurélien Zitt, Pierre-André |
| contents | Starting from a stochastic individual-based description of an SIS epidemic spreading on a random network, we study the dynamics when the size $n$ of the network tends to infinity. We recover in the limit an infinite-dimensional integro-differential equation studied by Delmas, Dronnier and Zitt (2022) for an SIS epidemic propagating on a graphon. Our work covers the case of dense and sparse graphs, provided that the number of edges grows faster than $n$, but not the case of very sparse graphs with $O(n)$ edges. In order to establish our limit theorem, we have to deal with both the convergence of the random graphs to the graphon and the convergence of the stochastic process spreading on top of these random structures: in particular, we propose a coupling between the process of interest and an epidemic that spreads on the complete graph but with a modified infection rate.
Keywords: Random graph, mathematical models of epidemics, measure-valued process, large network limit, limit theorem, graphon. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2302_13385 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Individual based SIS models on (not so) dense large random networks Delmas, Jean-François Frasca, Paolo Garin, Federica Tran, Viet Chi Velleret, Aurélien Zitt, Pierre-André Probability Populations and Evolution 05C80, 92D30, 60F99 Starting from a stochastic individual-based description of an SIS epidemic spreading on a random network, we study the dynamics when the size $n$ of the network tends to infinity. We recover in the limit an infinite-dimensional integro-differential equation studied by Delmas, Dronnier and Zitt (2022) for an SIS epidemic propagating on a graphon. Our work covers the case of dense and sparse graphs, provided that the number of edges grows faster than $n$, but not the case of very sparse graphs with $O(n)$ edges. In order to establish our limit theorem, we have to deal with both the convergence of the random graphs to the graphon and the convergence of the stochastic process spreading on top of these random structures: in particular, we propose a coupling between the process of interest and an epidemic that spreads on the complete graph but with a modified infection rate. Keywords: Random graph, mathematical models of epidemics, measure-valued process, large network limit, limit theorem, graphon. |
| title | Individual based SIS models on (not so) dense large random networks |
| topic | Probability Populations and Evolution 05C80, 92D30, 60F99 |
| url | https://arxiv.org/abs/2302.13385 |