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Controlling contagion processes in activity driven networks

Controlling contagion processes in activity driven networks

Liu, Suyu, Perra, Nicola, Karsai, Marton and Vespignani, Alessandro (2014) Controlling contagion processes in activity driven networks. Physical Review Letters, 112 (11):118702. ISSN 0031-9007 (Print), 1079-7114 (Online) (doi:10.1103/PhysRevLett.112.118702)

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Abstract

The vast majority of strategies aimed at controlling contagion processes on networks consider the connectivity pattern of the system either quenched or annealed. However, in the real world, many networks are highly dynamical and evolve, in time, concurrently with the contagion process. Here, we derive an analytical framework for the study of control strategies specifically devised for a class of time-varying networks, namely activity-driven networks. We develop a block variable mean-field approach that allows the derivation of the equations describing the coevolution of the contagion process and the network dynamic. We derive the critical immunization threshold and assess the effectiveness of three different control strategies. Finally, we validate the theoretical picture by simulating numerically the spreading process and control strategies in both synthetic networks and a large-scale, real-world, mobile telephone call data set.

Item Type: Article
Additional Information: © 2014 American Physical Society
Uncontrolled Keywords: time-varying networks
Faculty / Department / Research Group: Faculty of Business > Centre for Business Network Analysis
Last Modified: 14 Oct 2016 09:34
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/13896

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