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Bursty communication patterns facilitate spreading in a threshold-based epidemic dynamics
The University of Tokyo.
The University of Tokyo.
Umeå University, Faculty of Science and Technology, Department of Physics. (IceLab)ORCID iD: 0000-0003-2156-1096
2013 (English)In: PLoS ONE, ISSN 1932-6203, Vol. 8, no 7, e68629- p.Article in journal (Refereed) Published
Abstract [en]

Records of social interactions provide us with new sources of data for understanding how interaction patterns affect collective dynamics. Such human activity patterns are often bursty,i.e., they consist of short periods of intense activity followed by long periods of silence. This burstiness has been shown to affect spreading phenomena; it accelerates epidemic spreading in some cases and slows it down in other cases. We investigate a model of history-dependent contagion. In our model, repeated interactions between susceptible and infected individuals in a short period of time is needed for a susceptible individual to contract infection. We carry out numerical simulations on real temporal network data to find that bursty activity patterns facilitate epidemic spreading in our model.

Place, publisher, year, edition, pages
2013. Vol. 8, no 7, e68629- p.
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Other Physics Topics
URN: urn:nbn:se:umu:diva-78464DOI: 10.1371/journal.pone.0068629OAI: diva2:637725
Swedish Research Council, 2012-3651
Available from: 2013-07-22 Created: 2013-07-22 Last updated: 2013-09-10Bibliographically approved

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