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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["copenhagen/sms"]
(and likewise for the other networks available.)

copenhagen — Copenhagen Networks Study

Description

A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.1


  1. Description obtained from the ICON project. 

Tags
Social Offline Unweighted Weighted Timestamps Multilayer Metadata
Citation
Upstream URL OK
https://doi.org/10.6084/m9.figshare.7267433
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
sms 568 24,333 42.84 247.58 3.47 1653.09 0.87 0.03 20 0.80 Directed Unipartite id female timestamp 85 KiB 124 KiB 123 KiB 109 KiB
fb_friends 800 6,429 16.07 13.38 30.19 8.18 0.18 0.24 7 1.00 Undirected Unipartite id female 24 KiB 39 KiB 39 KiB 31 KiB
calls 536 3,600 6.72 18.28 4.14 452.76 0.66 0.09 22 0.65 Directed Unipartite id female timestamp duration 28 KiB 40 KiB 32 KiB 33 KiB
bt 692 2,426,279 7012.37 4950.73 281.14 17.83 0.14 0.71 5 1.00 Undirected Unipartite id female timestamp rssi 3.2 MiB 10.4 MiB 7.2 MiB 9.1 MiB
Ridiculograms
sms drawing
sms
fb_friends drawing
fb_friends
calls drawing
calls
bt drawing
bt