Epidemic evolution on complex networks strongly depends on their topology and the infection dynamical properties, as highly connected nodes and individuals exposed to the contagion have competing roles in the disease spreading. In this spirit, we propose a new immunization strategy exploiting the knowledge of network geometry and dynamical information about the spreading infection. The flexibility and effectiveness of the proposed scheme are successfully tested with numerical simulations on a wide set of complex networks

Probing Complexity with Epidemics: A New Reactive Immunization Strategy / Alfinito, E.; Beccaria, M.; Fachechi, A.; Macorini, G.. - (2017). (Intervento presentato al convegno COMPLEXIS 2017 tenutosi a Porto (Portogallo)) [10.5220/0006361301160123].

Probing Complexity with Epidemics: A New Reactive Immunization Strategy

Fachechi, A.;
2017

Abstract

Epidemic evolution on complex networks strongly depends on their topology and the infection dynamical properties, as highly connected nodes and individuals exposed to the contagion have competing roles in the disease spreading. In this spirit, we propose a new immunization strategy exploiting the knowledge of network geometry and dynamical information about the spreading infection. The flexibility and effectiveness of the proposed scheme are successfully tested with numerical simulations on a wide set of complex networks
2017
COMPLEXIS 2017
epidemic models; reactive immunization; complex networks
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Probing Complexity with Epidemics: A New Reactive Immunization Strategy / Alfinito, E.; Beccaria, M.; Fachechi, A.; Macorini, G.. - (2017). (Intervento presentato al convegno COMPLEXIS 2017 tenutosi a Porto (Portogallo)) [10.5220/0006361301160123].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1709978
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