Temporal social network reconstruction using wireless proximity sensors: model selection and consequences

Temporal social network reconstruction using wireless proximity sensors: model selection and consequences

Abstract The emerging technologies of wearable wireless devices open entirely new ways to record various aspects of human social interactions in a broad range of settings. Such technologies allow to log the temporal dynamics of face-to-face interactions by detecting the physical proximity of partici...

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Bibliographic Details
Main Authors: Sicheng Dai, Hélène Bouchet, Aurélie Nardy, Eric Fleury, Jean-Pierre Chevrot, Márton Karsai
Format: Article
Language:English
Published: SpringerOpen 2020-07-01
Series:EPJ Data Science
Subjects:
Physical proximity networks
Temporal network reconstruction
Supervised learning
Data driven modelling of spreading processes
Online Access:http://link.springer.com/article/10.1140/epjds/s13688-020-00237-8

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http://link.springer.com/article/10.1140/epjds/s13688-020-00237-8

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