Discogs artist–style

Discogs (short for "discographies") is a large online music database that provides information about audio records including information about artists, labels and release details. Each edge of this bipartite network connects an artist and a style. An edge indicates that the artist was involved in the production of a release of the style. Releases can have multiple styles. The left nodes represent artists and the right nodes represent styles.


Internal namediscogs_style
NameDiscogs artist–style
Data sourcehttp://www.discogs.com/
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Feature network
Node meaningArtist, style
Edge meaningStyle
Network formatBipartite, undirected
Edge typeUnweighted, multiple edges


Size n =1,618,326
Left size n1 =1,617,943
Right size n2 =383
Volume m =24,085,580
Unique edge count m̿ =5,740,842
Wedge count s =166,393,512,911
Claw count z =5,367,492,614,640,449
Cross count x =1.617 65 × 1020
Square count q =77,383,418,076
4-Tour count T4 =1,284,657,683,652
Maximum degree dmax =1,109,229
Maximum left degree d1max =621,250
Maximum right degree d2max =1,109,229
Average degree d =29.766 0
Average left degree d1 =14.886 5
Average right degree d2 =62,886.6
Fill p =0.009 264 32
Average edge multiplicity m̃ =4.195 48
Size of LCC N =1,618,326
Diameter δ =6
50-Percentile effective diameter δ0.5 =3.452 57
90-Percentile effective diameter δ0.9 =3.890 52
Mean distance δm =3.827 03
Gini coefficient G =0.894 557
Balanced inequality ratio P =0.119 342
Left balanced inequality ratio P1 =0.181 377
Right balanced inequality ratio P2 =0.198 666
Relative edge distribution entropy Her =0.707 633
Power law exponent γ =2.161 07
Tail power law exponent γt =2.891 00
Degree assortativity ρ =−0.100 821
Degree assortativity p-value pρ =0.000 00
Spectral norm α =89,274.1
Spectral separation 1[A] / λ2[A]| =4.222 26
Controllability C =1,617,560
Relative controllability Cr =0.999 527


Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral distribution of the adjacency matrix

Spectral distribution of the normalized adjacency matrix

Spectral distribution of the Laplacian

Spectral graph drawing based on the adjacency matrix

Spectral graph drawing based on the Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Hop distribution

Edge weight/multiplicity distribution



[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]