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The Mathematics of Human Contact |
Stephen Ashton , Enrico Scalas |
University of Sussex, Pevensey 3, 5C16, Brighton BN19QH, United Kingdom |
Abstract |
We revisit the data previously collected by the SocioPatterns collaboration (http://www.sociopatterns.org/) and we compare the distributions of several network properties to the results of Monte Carlo simulations of a dynamic graph model. The dynamic graph model assigns on-off durations to each link from an appropriate probability distribution. Even if the model does not capture all the important features of the real-world network, it provides a useful first approximation. Primary school temporal data were published in: V. Gemmetto, A. Barrat and C. Cattuto, Mitigation of infectious disease at school: targeted class closure vs school closure, BMC Infectious Diseases 14:695 (2014). J. Stehlé, N. Voirin, A. Barrat, C. Cattuto, L. Isella, J.-F. Pinton, M. Quaggiotto, W. Van den Broeck, C. Régis, B. Lina, P. Vanhems, High-Resolution Measurements of Face-to-Face Contact Patterns in a Primary School, PLOS ONE 6(8): e23176 (2011). High school temporal data were published in: R. Mastrandrea, J. Fournet, A. Barrat, Contact patterns in a high school: a comparison between data collected using wearable sensors, contact diaries and friendship surveys. PLoS ONE 10(9): e0136497 (2015). This is joint work with N. Georgiou and I.Z. Kiss. |
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Presentation: Poster at Econophysics Colloquium 2017, Symposium A, by Stephen AshtonSee On-line Journal of Econophysics Colloquium 2017 Submitted: 2017-03-13 17:40 Revised: 2017-03-14 15:40 |