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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["elite"]

elite — Barnes-Burkett elite affiliations (1962)

Description

A small bipartite network of the affiliations among elite individuals and the corporate, museum, university boards, or social clubs to which they belonged, from 1962.1


  1. Description obtained from the ICON project. 

Tags
Social Affiliation Unweighted
Citation
Upstream URL [Errno 113] No route to host
http://konect.cc/networks/brunson_corporate-leadership
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
elite 44 99 4.50 2.69 4.87 5.65 -0.08 0.00 5 1.00 Undirected Bipartite 2 KiB 3 KiB 2 KiB 2 KiB
Ridiculograms
None drawing