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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["sa_companies"]

sa_companies — South African companies (1919)


A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.1

  1. Description obtained from the ICON project. 

Social Affiliation Unweighted
Upstream URL [Errno 113] No route to host
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
sa_companies 11 13 2.36 0.98 1.63 5.88 -0.22 0.00 6 1.00 Undirected Bipartite 1 KiB 2 KiB 1 KiB 1 KiB
None drawing