Epidemic spreading and immunization strategy in multiplex networks
| Autor: | Lucila G. Alvarez Zuzek, Camila Buono, Lidia A. Braunstein |
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| Rok vydání: | 2015 |
| Předmět: |
Social and Information Networks (cs.SI)
FOS: Computer and information sciences Physics - Physics and Society History Computer science business.industry Outbreak FOS: Physical sciences Computer Science - Social and Information Networks Physics and Society (physics.soc-ph) Immunization (finance) Computer Science Applications Education Multiplex business Computer network |
| DOI: | 10.48550/arxiv.1507.01837 |
| Popis: | A more connected world has brought major consequences such as facilitate the spread of diseases all over the world to quickly become epidemics, reason why researchers are concentrated in modeling the propagation of epidemics and outbreaks in Multilayer Networks. In this networks all nodes interact in different layers with different type of links. However, in many scenarios such as in the society, a Multiplex Network framework is not completely suitable since not all individuals participate in all layers. In this paper, we use a partially overlapped Multiplex Network where only a fraction of the individuals are shared by the layers. We develop a mitigation strategy for stopping a disease propagation, considering the Susceptible-Infected-Recover model, in a system consisted by two layers. We consider a random immunization in one of the layers and study the effect of the overlapping fraction in both, the propagation of the disease and the immunization strategy. Using branching theory, we study this scenario theoretically and via simulations and find a lower epidemic threshold than in the case without strategy. Comment: 9 pages, 2 figures, accepted in Journal of Physics: Conference Series (JPCS) |
| Databáze: | OpenAIRE |
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