Control Strategies of Contagion Processes in Time-Varying Networks

Márton Karsai, Nicola Perra

Research output: Contribution to Book/Report typesChapterpeer-review

Abstract (may include machine translation)

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.
Original languageEnglish
Title of host publicationTemporal Network Epidemiology
EditorsNaoki Masuda, Petter Holme
Place of PublicationSingapore
PublisherSpringer-Verlag Singapore
Pages179-197
Number of pages19
ISBN (Print)9789811052873
DOIs
StatePublished - 2017

Publication series

NameTheoretical Biology
ISSN (Electronic)2522-0438

Cite this