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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"]

sp_primary_school — Primary school dynamic contacts (2009)


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. 

Social Offline Weighted Temporal Metadata
Upstream URL OK
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_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
None drawing