Link cooperation effect of cooperative epidemics on complex networks
作者全名："Wang, Jun; Cai, Shimin; Wang, Wei; Zhou, Tao"
作者地址："[Wang, Jun; Cai, Shimin; Zhou, Tao] Univ Elect Sci & Technol China, Complex Lab, Chengdu 610054, Peoples R China; [Wang, Wei] Chongqing Med Univ, Sch Publ Hlth, Chongqing 400016, Peoples R China"
通信作者："Cai, SM (通讯作者)，Univ Elect Sci & Technol China, Complex Lab, Chengdu 610054, Peoples R China."
来源：APPLIED MATHEMATICS AND COMPUTATION
关键词：Link cooperation effect; cooperative epidemics; spreading dynamics; complex networks
摘要："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 mul-tiple 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 discontin-uous for a stronger link cooperation effect, otherwise the phase transition is continuous. When cooperative epidemics spread on SF networks, the phase transition is always contin-uous because of the existence of a few hubs. Our developed theoretical method can rea-sonably predict the above phenomena that are obtained from the numerical simulations based on the proposed mathematical model. (c) 2022 Elsevier Inc. All rights reserved."