PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Alvarez-Garcia J. A., Arcos Garcia A., Chessa S., Fortunati L., Girolami M. Detecting social interactions in working environments through sensing technologies. Helena Lindgren et al... (eds.). (Advances in Intelligent Systems and Computing, vol. 476). Switzerland: Springer International Publishing, 2016.
 
 
Abstract
(English)
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.
URL: http://link.springer.com/chapter/10.1007%2F978-3-319-40114-0_3
DOI: 10.1007/978-3-319-40114-0_3
Subject Social Network Analysis
Computational Social Science
Smart Office
C.2 COMPUTER-COMMUNICATION NETWORKS


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