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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_genre"]

dbpedia_genre — DBpedia work-genre network


A bipartite network of the affiliations between artists and their works on one side and genre classifications on the other, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.1

  1. Description obtained from the ICON project. 

Informational Relatedness 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_genre 266,717 463,497 3.48 99.88 99.62 1327.48 -0.24 0.00 32 0.97 Undirected Bipartite 4.4 MiB 7.0 MiB 7.1 MiB 5.6 MiB
None drawing