Epidemic spreading and risk perception in multiplex networks: a self-organized percolation method
arXiv:1405.5348 · doi:10.1103/PhysRevE.90.052817
Abstract
In this paper we study the interplay between epidemic spreading and risk perception on multiplex networks. The basic idea is that the effective infection probability is affected by the perception of the risk of being infected, which we assume to be related to the fraction of infected neighbours, as introduced by Bagnoli et al., PRE 76:061904 (2007). We re-derive previous results using a self-organized method, that automatically gives the percolation threshold in just one simulation. We then extend the model to multiplex networks considering that people get infected by contacts in real life but often gather information from an information networks, that may be quite different from the real ones. The similarity between the real and information networks determine the possibility of stopping the infection for a sufficiently high precaution level: if the networks are too different there is no mean of avoiding the epidemics.
arXiv comment9 pages, 8 figures
References in corpus (15)
- The structure and function of complex networks
- Epidemic spreading in scale-free networks
- Catastrophic cascade of failures in interdependent networks
- Evolution of networks
- Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
- Immunization of complex networks
- Dynamical interplay between awareness and epidemic spreading in multiplex networks
- Multirelational Organization of Large-scale Social Networks in an Online World
- Epidemics and percolation in small-world networks
- Epidemic dynamics in finite size scale-free networks
- Competing spreading processes on multiplex networks: awareness and epidemics
- Layered Complex Networks
- Statistical Mechanics of Multiplex Ensembles: Entropy and Overlap
- Risk perception in epidemic modeling
- Algorithmic Mapping Criticality into Self Organized Criticality
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