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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["cs_department"]

cs_department — Aarhus Computer Science department relationships

Description

Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.1


  1. Description obtained from the ICON project. 

Tags
Social Relationships Multilayer Unweighted
Citation
  • Matteo Magnani, Barbora Micenkova, and Luca Ross, "Combinatorial Analysis of Multiple Networks." arXiv:1303.4986 (2013), http://arxiv.org/abs/1303.4986
Upstream URL OK
https://manliodedomenico.com/data.php
Networks
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
cs_department 61 620 20.33 11.22 13.78 4.46 0.03 0.52 4 1.00 Undirected Unipartite name nodeLabel weight layer 2 KiB 4 KiB 3 KiB 3 KiB
Ridiculograms
None drawing