Last.fm bands

This bipartite network contains user–band listening events from the music website last.fm. An edge shows that a user listened to a song of a band.

Metadata

CodeLb
Internal namelastfm_band
NameLast.fm bands
Data sourcehttp://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/lastfm-1K.html
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Interaction network
Node meaningUser, band
Edge meaningListening
Network formatBipartite, undirected
Edge typeUnweighted, multiple edges
Temporal data Edges are annotated with timestamps

Statistics

Size n =175,069
Left size n1 =992
Right size n2 =174,077
Volume m =19,150,868
Unique edge count m̿ =898,062
Wedge count s =889,895,853
Claw count z =890,736,635,531
Cross count x =976,152,225,850,783
Square count q =4,419,565,780
4-Tour count T4 =38,918,474,416
Maximum degree dmax =183,103
Maximum left degree d1max =183,103
Maximum right degree d2max =115,209
Average degree d =218.781
Average left degree d1 =19,305.3
Average right degree d2 =110.014
Fill p =0.005 200 60
Average edge multiplicity m̃ =21.324 7
Size of LCC N =175,069
Diameter δ =6
50-Percentile effective diameter δ0.5 =3.475 46
90-Percentile effective diameter δ0.9 =3.895 35
Median distance δM =4
Mean distance δm =3.919 94
Gini coefficient G =0.964 193
Balanced inequality ratio P =0.060 768 4
Left balanced inequality ratio P1 =0.289 593
Right balanced inequality ratio P2 =0.089 095 2
Relative edge distribution entropy Her =0.760 117
Power law exponent γ =2.581 27
Tail power law exponent γt =1.811 00
Tail power law exponent with p γ3 =1.811 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.421 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =1.881 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.177 727
Degree assortativity p-value pρ =0.000 00
Spectral norm α =27,811.3
Algebraic connectivity a =0.878 651
Spectral separation 1[A] / λ2[A]| =1.003 32
Controllability C =173,085
Relative controllability Cr =0.988 667

Plots

Fruchterman–Reingold graph drawing

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

Degree assortativity

Zipf plot

Hop distribution

Edge weight/multiplicity distribution

Temporal distribution

Temporal hop distribution

Diameter/density evolution

Inter-event distribution

Node-level inter-event distribution

Matrix decompositions plots

Downloads

References

[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Òscar Celma. Music Recommendation and Discovery in the Long Tail. Springer, 2010.