This is the bipartite network of YouTube users and their group memberships. The nodes are users and groups, and an edge between a user and a group denotes a group membership.


Internal nameyoutube-groupmemberships
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Affiliation network
Node meaningUser, group
Edge meaningMembership
Network formatBipartite, undirected
Edge typeUnweighted, no multiple edges


Size n =124,325
Left size n1 =94,238
Right size n2 =30,087
Volume m =293,360
Wedge count s =70,180,198
Claw count z =92,191,098,295
Cross count x =150,344,737,942,342
Square count q =12,540,261
4-Tour count T4 =381,648,116
Maximum degree dmax =7,591
Maximum left degree d1max =1,035
Maximum right degree d2max =7,591
Average degree d =4.719 24
Average left degree d1 =3.112 97
Average right degree d2 =9.750 39
Fill p =0.000 103 466
Size of LCC N =113,496
Diameter δ =17
50-Percentile effective diameter δ0.5 =4.602 49
90-Percentile effective diameter δ0.9 =6.390 19
Median distance δM =5
Mean distance δm =5.174 35
Gini coefficient G =0.693 488
Balanced inequality ratio P =0.229 794
Left balanced inequality ratio P1 =0.280 584
Right balanced inequality ratio P2 =0.188 134
Relative edge distribution entropy Her =0.878 122
Power law exponent γ =2.411 68
Tail power law exponent γt =2.311 00
Degree assortativity ρ =−0.067 164 5
Degree assortativity p-value pρ =0.000 00
Spectral norm α =90.377 5
Algebraic connectivity a =0.009 221 19
Spectral separation 1[A] / λ2[A]| =1.235 41
Controllability C =73,201
Relative controllability Cr =2.390 00


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

Matrix decompositions plots



[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Alan Mislove. Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems. PhD thesis, Rice Univ., 2009.