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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_high_school_new/2011"]
(and likewise for the other networks available.)

sp_high_school_new — High school dynamic contacts (2011-2012)


These datasets contain the temporal network of contacts between students in a high school in Marseilles, France. The first dataset gives the contacts of the students of three classes during 4 days in Dec. 2011, and the second corresponds to the contacts of the students of 5 classes during 7 days (from a Monday to the Tuesday of the following week) in Nov. 2012.1

Each Contact list 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 Ci Cj”, where i and j are the anonymous IDs of the persons in contact, Ci and Cj are their classes, 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 (for the 2012 data, it is expressed in UNIX ctime).

Each metadata file contains a tab-separated list in which each line of the form “i Ci Gi” gives class Ci and gender Gi of the person having ID i.

  1. Description obtained from the ICON project. 

Social Offline Unweighted Temporal Metadata
Upstream URL OK
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
2011 126 28,561 453.35 371.08 32.91 29.34 0.58 0.46 4 1.00 Undirected Unipartite id class gender time 41 KiB 102 KiB 95 KiB 76 KiB
2012 180 45,047 500.52 491.43 29.01 45.58 0.57 0.59 4 1.00 Undirected Unipartite id class gender time 70 KiB 145 KiB 149 KiB 132 KiB
2011 drawing
2012 drawing