Reconstructing social interactions using an unreliable wireless sensor network

In the very active field of complex networks, research advances have largely been stimulated by the availability of empirical data and the increase in computational power needed for their analysis. These works have led to the identification of similarities in the structures of such networks arising in very different fields, and to the development of a body of knowledge, tools and methods for their study. While many interesting questions remain open on the subject of static networks, challenging issues arise from the study of dynamic networks. In particular, the measurement, analysis and modeling of social interactions are first class concerns. In this article, we address the challenges of capturing physical proximity and social interaction by means of a wireless network. In particular, as a concrete case study, we exhibit the deployment of a wireless sensor network applied to the measurement of Health Care Workers’ exposure to tuberculosis infected patients in a service unit of...

• Type: Journal
• Year: 2011
• Where: COMCOM
• Authors: Adrien Friggeri, Guillaume Chelius, Eric Fleury, Antoine Fraboulet, F. Mentré, J. C. Lucet
• Keywords: Analysis, COMCOM 2011, Computational Linguistics, Measurement, Social Interaction