title: Inhomogeneity of epidemic spreading.
abstract: In this study, we use the characteristic infected cluster size to investigate the inhomogeneity of the epidemic spreading in static and dynamic complex networks. The simulation results show that the epidemic spreads inhomogeneously in both cases. Also, the inhomogeneity of the epidemic spreading becomes smaller with increasing speed of moving individuals and almost disappears when the speed is high enough.
authors.affiliation: School of Electronic and Information Engineering, Dalian University of Technology, Liaoning 116024, People's Republic of China. zhzhenliu@gmail.com
authors.forename: Zhenzhen
authors.initials: Z
authors.lastname: Liu
authors.forename: Xingyuan
authors.initials: X
authors.lastname: Wang
authors.forename: Mogei
authors.initials: M
authors.lastname: Wang
mesh_terms: D016000:Cluster Analysis; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D018562:Disease Transmission, Infectious / Q000706:statistics & numerical data*; D015981:Epidemiologic Factors; D006801:Humans; D008954:Models, Biological; D017711:Nonlinear Dynamics