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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_primary_school"]
Two temporal networks of contacts among students and teachers at a primary school in Lyon, France, on consecutive days of in October 2009. Each network accumulates all contacts over the course of a single day; contacts were sampled at 20-second intervals1
Name | Nodes | Edges | $\left<k\right>$ | $\sigma_k$ | $\lambda_h$ | $\tau$ | $r$ | $c$ | $\oslash$ | $S$ | Kind | Mode | NPs | EPs | gt | GraphML | GML | csv |
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sp_primary_school | 242 | 125,773 | 1039.45 | 517.65 | 79.14 | 13.15 | 0.35 | 0.75 | 3 | 1.00 | Undirected | Unipartite | id class gender | time | 181 KiB | 479 KiB | 460 KiB | 349 KiB |