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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["dbpedia_occupation"]

dbpedia_occupation — Person-Occupation Affiliations (DBpedia, 2016)

Description

A bipartite network of the affiliations between notable people and occupations, as extracted from Wikipedia by the DBpedia project.1


  1. Description obtained from the ICON project. ↩

Tags
Social Affiliation Unweighted
Citation
Upstream URL OK
http://konect.cc/networks/dbpedia-occupation
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
dbpedia_occupation 229,307 250,945 2.19 54.04 83.52 662.12 -0.13 0.00 24 0.62 Undirected Bipartite 3.8 MiB 5.5 MiB 5.6 MiB 5.0 MiB
Ridiculograms*
None drawing
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.