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Epidemic spreading in modular time-varying networks

Epidemic spreading in modular time-varying networks

Nadini, Matthieu, Sun, Kaiyuan, Ubaldi, Enrico, Starnini, Michele, Rizzo, Alessandro and Perra, Nicola ORCID: 0000-0002-5559-3064 (2018) Epidemic spreading in modular time-varying networks. Scientific Reports, 8:2352. ISSN 2045-2322 (Online) (doi:https://doi.org/10.1038/s41598-018-20908-x)

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Abstract

We investigate the effects of modular and temporal connectivity patterns on epidemic spreading. To this end, we introduce and analytically characterise a model of time-varying networks with tunable modularity. Within this framework, we study the epidemic size of Susceptible-Infected-Recovered, SIR, models and the epidemic threshold of Susceptible-Infected-Susceptible, SIS, models. Interestingly, we find that while the presence of tightly connected clusters inhibits SIR processes, it speeds up SIS phenomena. In this case, we observe that modular structures induce a reduction of the threshold with respect to time-varying networks without communities. We confirm the theoretical results by means of extensive numerical simulations both on synthetic graphs as well as on a real modular and temporal network

Item Type: Article
Uncontrolled Keywords: time-varying networks, processes on networks, modular networks
Subjects: H Social Sciences > H Social Sciences (General)
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of International Business & Economics
Faculty of Business > Networks and Urban Systems Centre (NUSC)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Last Modified: 21 Oct 2020 10:05
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: GREAT a
Selected for GREAT 2019: GREAT 6
Selected for REF2021: REF 5
URI: http://gala.gre.ac.uk/id/eprint/18882

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