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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- 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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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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DOI: https://doi.org/10.1007/978-3-319-14011-7_3
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