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Epidemic spreading on activity-driven networks with attractiveness

Epidemic spreading on activity-driven networks with attractiveness

Pozzana, Iacopo, Sun, Kaiyuan and Perra, Nicola ORCID: 0000-0002-5559-3064 (2017) Epidemic spreading on activity-driven networks with attractiveness. Physical Review E, 96 (4):042310. ISSN 2470-0045 (Print), 2470-0053 (Online) (doi:

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We study SIS epidemic spreading processes unfolding on a recent generalisation of the activity-driven modelling framework. In this model of time-varying networks each node is described by two variables: activity and attractiveness. The first, describes the propensity to form connections. The second, defines the propensity to attract them. We derive analytically the epidemic threshold considering the timescale driving the evolution of contacts and the contagion as comparable. The solutions are general and hold for any joint distribution of activity and attractiveness. The theoretical picture is confirmed via large-scale numerical simulations performed considering heterogeneous distributions and different correlations between the two variables. We find that heterogeneous distributions of attractiveness alter the contagion process. In particular, in case of uncorrelated and positive correlations between the two variables, heterogeneous attractiveness facilitates the spreading. On the contrary, negative correlations between activity and attractiveness hamper the spreading. The results presented contribute to the understanding of the dynamical properties of time-varying networks and their effects on contagion phenomena unfolding on their fabric.

Item Type: Article
Uncontrolled Keywords: networks, processes on networks
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QC Physics
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

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