Epidemic spreading and risk perception in multiplex networks: a self-organized percolation method
Work
Year: 2015
Type: article
Abstract: The contribution of this paper is twofold. First, we develop a self-organized method which is able the evaluate the percolation threshold of the SIS dynamics in general networks by comparing computati... more
Source: ESAIM Proceedings and Surveys
Authors Emanuele Massaro, Franco Bagnoli
Institutions U.S. Army Engineer Research and Development Center, Carnegie Mellon University, Istituto Nazionale di Fisica Nucleare, Sezione di Firenze, University of Florence
Cites: 16
Cited by: 7
Related to: 10
FWCI: 0.536
Citation percentile (by year/subfield): 70.36
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Sustainable Development Goal Good health and well-being
Open Access status: diamond