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Face-to-Face Interactions

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Social Phenomena

Part of the book series: Computational Social Sciences ((CSS))

Abstract

Face-to-face interactions of humans play a crucial role in their social relationships as well as in the potential transmission of infectious diseases. Here we discuss recent research efforts and advances concerning the measure, analysis and modelling of such interactions measured using strategies ranging from surveys to decentralised infrastructures based on wearable sensors. We present a number of empirical characteristics of face-to-face interaction patterns and novel techniques aimed at uncovering mesoscopic structures in these patterns. We also mention recent modelling efforts and conclude with some open questions and challenges.

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Notes

  1. 1.

    See also [57] for more abstract modelling of adaptive networks.

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Acknowledgements

This work is partially supported by the Lagrange Project of the ISI Foundation funded by the CRT Foundation to AB, and CC, by the Q-ARACNE project funded by the Fondazione Compagnia di San Paolo to CC, by the HarMS-flu project (ANR-12-MONU-0018) funded by the French ANR to AB, and by the FET Multiplex Project (EU-FET-317532) funded by the European Commission to AB and CC.

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Authors and Affiliations

  1. Aix Marseille Université, Université de Toulon, CNRS, CPT, UMR 7332, 13288, Marseille, France

    Alain Barrat

  2. Data Science Laboratory, ISI Foundation, Torino, Italy

    Alain Barrat & Ciro Cattuto

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  1. Alain Barrat
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  2. Ciro Cattuto
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Correspondence to Alain Barrat .

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  1. Centre de Physique Théorique, Aix-Marseille Université Campus de Luminy, Case 907, Marseille, France

    Bruno Gonçalves

  2. MoBS Lab, Northeastern University, Boston, Massachusetts, USA

    Nicola Perra

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Barrat, A., Cattuto, C. (2015). Face-to-Face Interactions. In: Gonçalves, B., Perra, N. (eds) Social Phenomena. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-14011-7_3

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