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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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Related papers

Presentation: Poster at Econophysics Colloquium 2017, Symposium A, by Stephen Ashton
See On-line Journal of Econophysics Colloquium 2017

Submitted: 2017-03-13 17:40
Revised:   2017-03-14 15:40