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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"]

sp_hospital — Hospital ward dynamic contacts (2010)

Description

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.


  1. Description obtained from the ICON project. ↩

Tags
Social Offline Unweighted Temporal Metadata
Citation
Upstream URL 404
http://www.sociopatterns.org/datasets/hospital-ward-dynamic-contact-network/
Networks
Tip: hover your mouse over a table header to obtain a legend.
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
Ridiculograms*
None drawing
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.