Abstract
The influence of transportation processes on the spread of epidemics has been extensively studied recently. However, the effect of origin-destination selection in different time and space is an overlooked issue. In this paper, we investigate a traffic-driven epidemic model in complex networks with non-uniform origin and destination selection. An analytic expression for the epidemic threshold is derived by expanding the generalized algorithm betweenness centrality into two forms that contain the roles of origin and destination, respectively. We find that both origin-destination selection patterns and routing protocols can significantly affect the spread of epidemics, mainly because they affect the frequency of use of hub nodes in the scale-free network. Regardless of the selection pattern, the efficient routing protocol is effective in suppressing the spread of epidemics. Besides, there exists an optimal value of routing parameter for each pattern, corresponding to the maximal epidemic threshold. This phenomenon can be explained by network properties and path lengths. Both numerical simulation and theoretical analysis reveal the incidence of epidemic spreading or the traffic flow varies at nodes with different degrees.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
