We analyse a huge and very precise trace of contact data collected during 6 months on the entire population of a rehabilitation hospital. We investigate the graph structure of the average daily contact network. Our main results are to unveil striking properties of this structure in the considered hospital, and to present a methodology that can be used for analysing any dynamic complex network where nodes are classified into groups. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Martinet, L., Crespelle, C., & Fleury, E. (2014). Dynamic contact network analysis in hospital wards. In Studies in Computational Intelligence (Vol. 549, pp. 241–249). Springer Verlag. https://doi.org/10.1007/978-3-319-05401-8_23
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