The link stream of contacts in a whole hospital

Lucie Martinet 1 Christophe Crespelle 1, 2 Éric Fleury 1 Pierre-Yves Boëlle 3 Didier Guillemot 4, 5
1 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme, IXXI - Institut Rhône-Alpin des systèmes complexes
2 VAST - Vietnam Academy of Science and Technology
3 iPLESP - Institut Pierre Louis d'Epidémiologie et de Santé Publique
4 PhEMI - Pharmacoépidémiologie et maladies infectieuses
5 AP-HP Hôpital Raymond Poincaré [Garches]
Abstract : We analyse a huge and very precise trace of contact data collected by a network of sensors during 6 months on the entire population of a rehabilitation hospital. We investigate both the topological structure of the average daily link stream of contacts in the hospital and the temporal structure of the evolution of these contacts hour by hour. Our main aims are to unveil striking properties of these two structures in the considered hospital, and to present a methodology that can be used for analysing any link stream where nodes are classified into groups.
Keywords : Close proximity interaction Hospital Link stream
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Journal articles
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https://hal.inria.fr/hal-01969491
Contributor : Christophe Crespelle <>
Submitted on : Friday, January 4, 2019 - 11:02:24 AM
Last modification on : Wednesday, April 3, 2019 - 1:14:57 AM

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ENS-LYON | UNIV-LYON1 | INSA-LYON | INRIA | LIP | SORBONNE-UNIVERSITE | INSA-GROUPE | UGA | PASTEUR | LABEX-MILYON | IPLESP | SU-MEDECINE | UNIV-LYON2 | UNIV-LYON3

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Lucie Martinet, Christophe Crespelle, Éric Fleury, Pierre-Yves Boëlle, Didier Guillemot. The link stream of contacts in a whole hospital. Social Network Analysis and Mining, Springer, 2018, 8 (59), pp.1-33. ⟨10.1007/s13278-018-0535-9⟩. ⟨hal-01969491⟩

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