title: Sick and edgy: walk-counting as a metric of epidemic spreading on networks.
abstract: A network structure metric is herein suggested for the investigation of the behaviour of epidemic spreading processes in general network-structured populations. This simple measure, based on the algebraic powers of the adjacency matrix associated with the network in question, is shown to admit a heuristic interpretation as a representation of a spreading process similar to standard epidemic models. It is further shown that the values of this metric may be of use in understanding the dynamic pattern of epidemic spread on networks of greatly varying structural properties (e.g. the degree distribution, the assortativity/dissortativity and the clustering).
authors.affiliation: Department of Environmental Science, Policy, and Management, University of California-Berkeley, CA 94720-3112, USA. dennisw@socrates.berkeley.edu
authors.forename: Dennis C
authors.initials: DC
authors.lastname: Wylie
authors.forename: Wayne M
authors.initials: WM
authors.lastname: Getz
mesh_terms: D003141:Communicable Diseases / Q000453:epidemiology*; D003198:Computer Simulation; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D006801:Humans; D008954:Models, Biological; D011157:Population Dynamics