ArticlePhysical review. E2017
Epidemic spreading on activity-driven networks with attractiveness.
Article in Physical review. E, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Sideward contact tracing and the control of epidemics in large gatherings.Journal of the Royal Society, Interface · 2022Article
- Activity-driven network modeling and control of the spread of two concurrent epidemic strains.Applied network science · 2022Article
- Stochastic sampling effects favor manual over digital contact tracing.Nature communications · 2021Article
- UTLDR: an agent-based framework for modeling infectious diseases and public interventions.Journal of intelligent information systems · 2021Article
- Epidemic spreading in modular time-varying networks.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We study SIS epidemic spreading processes unfolding on a recent generalization of the activity-driven modeling 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, while the second defines the propensity to attract them. We derive analytically the epidemic threshold considering the time scale 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 the 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.
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Registered trials
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