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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)


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. 

Social Affiliation Unweighted
Upstream URL OK
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
None drawing