title: Inhomogeneity of epidemic spreading with entropy-based infected clusters.
abstract: Considering the difference in the sizes of the infected clusters in the dynamic complex networks, the normalized entropy based on infected clusters (δ*) is proposed to characterize the inhomogeneity of epidemic spreading. δ* gives information on the variability of the infected clusters in the system. We investigate the variation in the inhomogeneity of the distribution of the epidemic with the absolute velocity v of moving agent, the infection density ρ, and the interaction radius r. By comparing δ* in the dynamic networks with δH* in homogeneous mode, the simulation experiments show that the inhomogeneity of epidemic spreading becomes smaller with the increase of v, ρ, r.
authors.affiliation: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China.
authors.forename: Zhou
authors.initials: Z
authors.lastname: Wen-Jie
authors.affiliation: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China.
authors.forename: Wang
authors.initials: W
authors.lastname: Xing-Yuan
mesh_terms: D000818:Animals; D019277:Entropy; D058872:Epidemics; D004812:Epidemiologic Methods; D006801:Humans; D008954:Models, Biological