Epidemic spreading in modular time-varying networks
Nadini, Matthieu, Sun, Kaiyuan, Ubaldi, Enrico, Starnini, Michele, Rizzo, Alessandro and Perra, Nicola ORCID: https://orcid.org/0000-0002-5559-3064 (2018) Epidemic spreading in modular time-varying networks. Scientific Reports, 8:2352. ISSN 2045-2322 (Online) (doi: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 |
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Uncontrolled Keywords: | time-varying networks, processes on networks, modular networks |
Subjects: | H Social Sciences > H Social Sciences (General) |
Faculty / School / Research Centre / 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 |
URI: | http://gala.gre.ac.uk/id/eprint/18882 |
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