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Detecting social interactions in working environments through sensing technologies

Capitolo di libro
Data di Pubblicazione:
2016
Abstract:
The knowledge about social ties among humans is important to opti- mize several aspects concerning networking in mobile social networks. Gener- ally, ties among people are detected on the base of proximity of people. We dis- cuss here how ties concerning colleagues in an office can be detected by lever- aging on a number of sociological marker like co-activity, proximity, speech ac- tivity and similarity of locations visited. We present the results from two data gathering campaigns located in Italy and Spain.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Social Network Analysis; Computational Social Science; Smart Office; COMPUTER-COMMUNICATION NETWORKS
Elenco autori:
Chessa, Stefano; Fortunati, Luigi; Girolami, Michele
Autori di Ateneo:
GIROLAMI MICHELE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/317413
Titolo del libro:
Ambient Intelligence- Software and Applications
Pubblicato in:
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
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URL

http://link.springer.com/chapter/10.1007%2F978-3-319-40114-0_3
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