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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_recordlabel"]

dbpedia_recordlabel — DBpedia artist-label affiliations


Bipartite networks of the affiliations (contractual relations) between artists and the record labels under which they have performed, as extracted from Wikipedia by the DBpedia project.1

  1. Description obtained from the ICON project. 

Economic Employment 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_recordlabel 186,758 233,286 2.50 39.34 36.38 410.47 -0.19 0.00 23 0.91 Undirected Bipartite 3.1 MiB 4.7 MiB 4.7 MiB 4.0 MiB
None drawing