Supercriticality of the SIRS on random networks
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866910181398413312 |
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| author | Lam, Phuc Nguyen, Oanh |
| author_facet | Lam, Phuc Nguyen, Oanh |
| contents | We study how long the SIRS process persists or how quickly it reaches extinction across various network topologies. Our results provide a three-part characterization of this process: In finite sparse graphs, we prove the existence of a regime where the process survives for an exponentially long time. In heavy-tailed networks with power-law-like exponents, we show that for all range of parameters, the survival time is exponential. Finally, for infinite trees, we find sufficient conditions for strong survival, showing the root is re-infected infinitely often even for light-tailed distributions like the Poisson distribution. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_28150 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Supercriticality of the SIRS on random networks Lam, Phuc Nguyen, Oanh Probability We study how long the SIRS process persists or how quickly it reaches extinction across various network topologies. Our results provide a three-part characterization of this process: In finite sparse graphs, we prove the existence of a regime where the process survives for an exponentially long time. In heavy-tailed networks with power-law-like exponents, we show that for all range of parameters, the survival time is exponential. Finally, for infinite trees, we find sufficient conditions for strong survival, showing the root is re-infected infinitely often even for light-tailed distributions like the Poisson distribution. |
| title | Supercriticality of the SIRS on random networks |
| topic | Probability |
| url | https://arxiv.org/abs/2604.28150 |