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The networks in this dataset can be loaded directly from graph-tool with:(and likewise for the other networks available.)import graph_tool.all as gt g = gt.collection.ns["sp_baboons/observational"]
Network of interactions between a group of 20 Guinea baboons living in an enclosure of a Primate Center in France, between June 13th 2019 and July 10th 2019. The data set contains observational and wearable sensors data.
The observational data contains all the behavioral events registered by an observer, with 8 columns:
The sensor data contains contacts recorded in the same period by the SocioPatterns infrastructure. The proximity sensors were worn by 13 of the 20 individuals cited above. The data file consists of 4 columns:
Name | Nodes | Edges | $\left<k\right>$ | $\sigma_k$ | $\lambda_h$ | $\tau$ | $r$ | $c$ | $\oslash$ | $S$ | Kind | Mode | NPs | EPs | gt | GraphML | GML | csv |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
observational | 23 | 3,197 | 139.00 | 207.87 | 16.00 | 2.23 | 0.23 | 0.85 | 4 | 1.00 | Directed | Unipartite | name | time behavior category duration localization point | 14 KiB | 23 KiB | 18 KiB | 18 KiB |
sensor | 13 | 63,095 | 9706.92 | 4232.92 | 11.00 | 2.39 | 0.27 | 0.79 | 1 | 1.00 | Undirected | Unipartite | name | time | 116 KiB | 223 KiB | 204 KiB | 168 KiB |