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The network in this dataset can be loaded directly from graph-tool with:import graph_tool.all as gt g = gt.collection.ns["sp_hospital"]
This dataset contains the temporal network of contacts between patients, patients and health-care workers (HCWs) and among HCWs in a hospital ward in Lyon, France, from Monday, December 6, 2010 at 1:00 pm to Friday, December 10, 2010 at 2:00 pm. The study included 46 HCWs and 29 patients.1
The file contains a tab-separated list representing the active contacts during 20-second intervals of the data collection. Each line has the form “t i j Si Sj“, where i and j are the anonymous IDs of the persons in contact, Si and Sj are their statuses (NUR=paramedical staff, i.e. nurses and nurses’ aides; PAT=Patient; MED=Medical doctor; ADM=administrative staff), and the interval during which this contact was active is [ t – 20s, t ]. If multiple contacts are active in a given interval, you will see multiple lines starting with the same value of t. Time is measured in seconds.
Name | Nodes | Edges | $\left<k\right>$ | $\sigma_k$ | $\lambda_h$ | $\tau$ | $r$ | $c$ | $\oslash$ | $S$ | Kind | Mode | NPs | EPs | gt | GraphML | GML | csv |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
sp_hospital | 75 | 32,424 | 864.64 | 956.79 | 35.91 | 3.44 | 0.09 | 0.75 | 3 | 1.00 | Undirected | Unipartite | id status | time | 50 KiB | 105 KiB | 99 KiB | 83 KiB |