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Bursty Communication Patterns Facilitate Spreading in a Threshold-Based Epidemic Dynamics
Stockholm University, Faculty of Social Sciences, Department of Sociology. Sungkyunkwan Univ, Dept Energy Sci, Suwon, South Korea.
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.
National Category
Engineering and Technology Natural Sciences
URN: urn:nbn:se:su:diva-93578DOI: 10.1371/journal.pone.0068629ISI: 000322391400017OAI: diva2:647403


Funding Agencies:

Aihara Project;

FIRST program from the Japan Society for the Promotion of Science (JSPS);

Council for Science and Technology Policy;

JSPS, Japan  10J06281 

Ministry of Education, Culture, Sports, Science, and Technology, Japan  23681033; 

Swedish Research Council;

WCU program through the National Research Foundation of Korea;

Ministry of Education, Science and Technology  R31-2008-10029-0 

Available from: 2013-09-11 Created: 2013-09-10 Last updated: 2013-09-11Bibliographically approved

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ReferencesLink to record
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