Link cooperation effect of cooperative epidemics on complex networks

Jun Wang, Shimin Cai, Wei Wang and Tao Zhou

Applied Mathematics and Computation, 2023, vol. 437, issue C

Abstract: Epidemic spreading dynamic is usually used to describe the virus spread in the biology system and information diffusion in the social system. Previous studies indicated that multiple epidemics rarely evolve dependently, but constantly interact and coevolve. In this paper, a novel mathematical model is proposed to study the link cooperation effect of two epidemics cooperatively spreading on complex networks. The link cooperation effect means that the first epidemic is transmitted through this link, and the second epidemic will have a higher transmission probability when it is transmitted through the same link. We develop an edge-based compartmental method and can well predict the numerical simulations. We find the link cooperation effect promote the epidemic outbreak size. The phase transition is closely relates to the strength of the link cooperation effect and network topology. For the cooperate epidemics on ER networks, the phase transition is discontinuous for a stronger link cooperation effect, otherwise the phase transition is continuous. When cooperative epidemics spread on SF networks, the phase transition is always continuous because of the existence of a few hubs. Our developed theoretical method can reasonably predict the above phenomena that are obtained from the numerical simulations based on the proposed mathematical model.

Keywords: Link cooperation effect; cooperative epidemics; spreading dynamics; complex networks (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:437:y:2023:i:c:s0096300322006117

DOI: 10.1016/j.amc.2022.127537

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