Phase Transitions in Cooperative Coinfections: Simulation Results for Networks and Lattices
Peter Grassberger, Li Chen, Fakhteh Ghanbarnejad, Weiran Cai

TL;DR
This study investigates how two cooperative diseases spread on various network topologies, revealing that network structure critically influences the nature of phase transitions and epidemic thresholds in stochastic SIR models.
Contribution
It provides a detailed analysis of phase transition types in cooperative coinfections across different network topologies, highlighting the impact of network loops and microscopic details.
Findings
First order transitions occur on ER networks and high-dimensional lattices.
No first order transitions on trees and 2D local contact lattices.
Hybrid transitions exhibit power law scaling similar to second order transitions.
Abstract
We study the spreading of two mutually cooperative diseases on different network topologies, and with two microscopic realizations, both of which are stochastic versions of an SIR type model studied by us recently in mean field approximation. There it had been found that cooperativity can lead to first-order spreading/extinction transitions. However, due to the rapid mixing implied by the mean field assumption, first order transitions required non-zero initial densities of sick individuals. For the stochastic model studied here the results depend strongly on the underlying network. First order transitions are found when there are few short but many long loops: (i) No first order transitions exist on trees and on 2-d lattices with local contacts (ii) They do exist on Erdos-Renyi (ER) networks, on d-dimensional lattices with d >= 4, and on 2-d lattices with sufficiently long-ranged…
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