# Netzschleuder network catalogue, repository and centrifuge

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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["discogs_affiliation"]


# discogs_affiliation — Discogs artist-label affiliations

Description

A large bipartite network of the affiliations (contractual relations) among musical artists and record labels, as given in the discogs.com database. Each edge represents one release of an album by an artist with a particular label.1

1. Description obtained from the ICON project.

Tags
Economic Employment Unweighted Multigraph
Citation
Upstream URL OK
http://konect.cc/networks/discogs_affiliation
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
discogs_affiliation 2,025,594 14,414,659 14.23 511.56 323.69 465.25 -0.08 0.00 22 0.95 Undirected Bipartite meta 18.4 MiB 45.6 MiB 44.6 MiB 34.3 MiB