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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["high_tech_company"]

high_tech_company — Krackhardt high tech company network


Multiplex network of 3 edge types representing relationships (advice, friendship, and “reports to”) between managers of a high-tech company. Data hosted by Manlio De Domenico.1

  1. Description obtained from the ICON project. 

Social Offline Multilayer Unweighted
Upstream URL OK
Upstream license
Open Data Commons Open Database License (ODbL), https://opendatacommons.org/licenses/odbl/
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
high_tech_company 21 312 14.86 7.13 14.56 0.88 -0.15 0.75 2 1.00 Directed Unipartite name nodeAge nodeTenure nodeLevel nodeDepartment weight layer 1 KiB 2 KiB 2 KiB 2 KiB
None drawing