Volume 117, Number 1, January 2017
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||23 February 2017|
Reactive immunization on complex networks
1 Dipartimento di Ingegneria dell'Innovazione, Università del Salento, Campus Ecotekne - 73100 Lecce, Italy
2 Dipartimento di Matematica e Fisica Ennio De Giorgi, Università del Salento & INFN - Via Arnesano, 73100 Lecce, Italy
Received: 13 January 2017
Accepted: 10 February 2017
Epidemic spreading on complex networks depends on the topological structure as well as on the dynamical properties of the infection itself. Generally speaking, highly connected individuals play the role of hubs and are crucial to channel information across the network. On the other hand, static topological quantities measuring the connectivity structure are independent of the dynamical mechanisms of the infection. A natural question is therefore how to improve the topological analysis by some kind of dynamical information that may be extracted from the ongoing infection itself. In this spirit, we propose a novel vaccination scheme that exploits information from the details of the infection pattern at the moment when the vaccination strategy is applied. Numerical simulations of the infection process show that the proposed immunization strategy is effective and robust on a wide class of complex networks.
PACS: 89.75.-k – Complex systems / 87.23.Ge – Dynamics of social systems / 87.10.Rt – Monte Carlo simulations
© EPLA, 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.