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