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You may also take a look at the source code.
The networks in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["sp_primary_school/day_1"]
(and likewise for the other networks available.)

sp_primary_school — Primary school dynamic contacts (2009)

Description

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


  1. Description obtained from the ICON project. 

Tags
Social Offline Weighted Temporal Metadata
Citation
Upstream URL OK
http://www.sociopatterns.org/datasets/primary-school-cumulative-networks/
Networks
Tip: click on the table header to sort the list. Hover your mouse over it 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
day_1 236 5,899 49.99 18.91 57.40 2.87 0.17 0.44 3 1.00 Undirected Unipartite classname gender label viz count duration id 34 KiB 45 KiB 29 KiB 45 KiB
day_2 238 5,539 46.55 19.85 55.84 3.84 0.22 0.47 3 1.00 Undirected Unipartite classname gender label viz count duration id 33 KiB 46 KiB 27 KiB 44 KiB
Ridiculograms
day_1 drawing
day_1
day_2 drawing
day_2