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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_team"]

dbpedia_team — DBpedia athlete-team affiliations


Bipartite network of the affiliations (employment relations) between professional athletes and their teams, 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_team 935,627 1,366,466 2.92 26.71 58.80 5499.55 -0.30 0.00 41 0.94 Undirected Bipartite 15.5 MiB 23.0 MiB 23.3 MiB 20.8 MiB
None drawing