Continuum percolation and stochastic epidemic models on Poisson and Ginibre point processes

نویسندگان

چکیده

The most studied continuum percolation model in two dimensions is the Boolean consisting of disks with same radius whose centers are randomly distributed on Poisson point process (PPP). We also consider Ginibre (GPP), which a typical repelling realizing hyperuniformity. think that PPP approximates disordered configuration individuals, while GPP does citizens adopting strategy to keep social distancing city order avoid contagion. SIR models contagious infection supercritical clusters formed and GPP. By numerical simulations, we dependence phenomena processes PPP- GPP-underlying graphs. show subcritical regime rate PPP-based emergence clumping points by fluctuation uncorrelated Poissonian statistics. On other hand, cumulative numbers infected individuals suppressed GPP-based models.

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ژورنال

عنوان ژورنال: Physica D: Nonlinear Phenomena

سال: 2021

ISSN: ['1872-8022', '0167-2789']

DOI: https://doi.org/10.1016/j.physa.2021.126191