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Control strategies of contagion processes in time-varying networks

Control strategies of contagion processes in time-varying networks

Karsai, Márton and Perra, Nicola (2017) Control strategies of contagion processes in time-varying networks. In: Petter, Holme and Masuda, Naoki, (eds.) Temporal Network Epidemiology. Theoretical Biology book series (THBIO) . Springer, Singapore, pp. 179-197. ISBN 978-9811052866 (doi:https://doi.org/10.1007/978-981-10-5287-3_8)

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Abstract

The vast majority of strategies aimed at controlling contagion processes on networks consider a timescale separation between the evolution of the system and the unfolding of the process. However, in the real world, many networks are highly dynamical and evolve, in time, concurrently to the contagion phenomena. Here, we review the most commonly used immunization strategies on networks. In the first part of the chapter, we focus on controlling strategies in the limit of timescale separation. In the second part instead, we introduce results and methods that relax this approximation. In doing so, we summarize the main findings considering both numerical and analytically approaches in real as well as synthetic time-varying networks.

Item Type: Book Section
Uncontrolled Keywords: Processes on Networks; Networks
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Centre for Business Network Analysis (CBNA)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Faculty of Business > Department of International Business & Economics
Last Modified: 05 Oct 2017 14:41
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/17733

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