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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["ceo_club"]

ceo_club — CEO Club Memberships

Description

A bipartite network of the memberships of chief executive officers and the social organizations (clubs) to which they belong, from the Minneapolis-St. Paul area. Data originally collected by Galaskiewicz in 1985.1


  1. Description obtained from the ICON project. 

Tags
Social Affiliation Unweighted
Citation
Upstream URL OK
http://konect.cc/networks/brunson_club-membership
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
ceo_club 40 95 4.75 3.31 4.98 3.67 -0.29 0.00 5 1.00 Undirected Bipartite 2 KiB 3 KiB 2 KiB 2 KiB
Ridiculograms
None drawing