title: Cooperative spreading processes in multiplex networks.
abstract: This study is concerned with the dynamic behaviors of epidemic spreading in multiplex networks. A model composed of two interacting complex networks is proposed to describe cooperative spreading processes, wherein the virus spreading in one layer can penetrate into the other to promote the spreading process. The global epidemic threshold of the model is smaller than the epidemic thresholds of the corresponding isolated networks. Thus, global epidemic onset arises in the interacting networks even though an epidemic onset does not arise in each isolated network. Simulations verify the analysis results and indicate that cooperative spreading processes in multiplex networks enhance the final infection fraction.
authors.affiliation: School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei 430072, China.
authors.forename: Xiang
authors.initials: X
authors.lastname: Wei
authors.affiliation: School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei 430072, China.
authors.forename: Shihua
authors.initials: S
authors.lastname: Chen
authors.affiliation: School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei 430072, China.
authors.forename: Xiaoqun
authors.initials: X
authors.lastname: Wu
authors.affiliation: School of Mathematics and Statistics, South-Central University for Nationalities, Wuhan 430074, China.
authors.forename: Di
authors.initials: D
authors.lastname: Ning
authors.affiliation: School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei 430072, China.
authors.forename: Jun-An
authors.initials: JA
authors.lastname: Lu
mesh_terms: D058872:Epidemics; D006801:Humans; D008962:Models, Theoretical; D009010:Monte Carlo Method; D011336:Probability