This is the bipartite network of Flickr users and their group memberships.


Internal nameflickr-groupmemberships
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Affiliation network
Dataset timestamp 2007
Node meaningUser, group
Edge meaningMembership
Network formatBipartite, undirected
Edge typeUnweighted, no multiple edges


Size n =499,610
Left size n1 =395,979
Right size n2 =103,631
Volume m =8,545,307
Wedge count s =9,755,612,929
Claw count z =34,392,804,882,987
Cross count x =183,897,960,553,802,528
Square count q =35,258,013,095
4-Tour count T4 =321,104,865,090
Maximum degree dmax =34,989
Maximum left degree d1max =2,186
Maximum right degree d2max =34,989
Average degree d =34.207 9
Average left degree d1 =21.580 2
Average right degree d2 =82.459 0
Fill p =0.000 208 241
Size of LCC N =470,345
Diameter δ =18
50-Percentile effective diameter δ0.5 =3.720 57
90-Percentile effective diameter δ0.9 =5.622 14
Mean distance δm =4.437 56
Gini coefficient G =0.849 060
Balanced inequality ratio P =0.144 240
Left balanced inequality ratio P1 =0.178 314
Right balanced inequality ratio P2 =0.146 343
Relative edge distribution entropy Her =0.858 658
Power law exponent γ =1.583 20
Tail power law exponent γt =1.451 00
Degree assortativity ρ =−0.052 003 7
Degree assortativity p-value pρ =0.000 00
Spectral norm α =587.208


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

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, Massimiliano Marcon, Krishna P. Gummadi, Peter Druschel, and Bobby Bhattacharjee. Measurement and analysis of online social networks. In Proc. Internet Measurement Conf., 2007.