title: Impacts of complex behavioral responses on asymmetric interacting spreading dynamics in multiplex networks.
abstract: Information diffusion and disease spreading in communication-contact layered network are typically asymmetrically coupled with each other, in which disease spreading can be significantly affected by the way an individual being aware of disease responds to the disease. Many recent studies have demonstrated that human behavioral adoption is a complex and non-Markovian process, where the probability of behavior adoption is dependent on the cumulative times of information received and the social reinforcement effect of the cumulative information. In this paper, the impacts of such a non-Markovian vaccination adoption behavior on the epidemic dynamics and the control effects are explored. It is found that this complex adoption behavior in the communication layer can significantly enhance the epidemic threshold and reduce the final infection rate. By defining the social cost as the total cost of vaccination and treatment, it can be seen that there exists an optimal social reinforcement effect and optimal information transmission rate allowing the minimal social cost. Moreover, a mean-field theory is developed to verify the correctness of simulation results.
authors.affiliation: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China.|Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China.
authors.forename: Quan-Hui
authors.initials: QH
authors.lastname: Liu
authors.affiliation: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China.|Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
authors.affiliation: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China.|Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China.
authors.forename: Ming
authors.initials: M
authors.lastname: Tang
authors.affiliation: School of Mathematical Science, Anhui University, Hefei 230039, China.
authors.forename: Hai-Feng
authors.initials: HF
authors.lastname: Zhang
mesh_terms: D001519:Behavior; D003142:Communication; D003198:Computer Simulation; D058872:Epidemics; D006801:Humans; D008954:Models, Biological