Google+ (IMC12)

This bipartite network contains a snapshot of the Google+ social structure. Left nodes represent users and right nodes represent attributes. An edge links a user to a attribute which he may share with other users.


Internal namestevgong_attribute
NameGoogle+ (IMC12)
Data source
AvailabilityDataset is not available for download
Consistency checkDataset passed all tests
Feature network
Dataset timestamp 2012
Node meaningUser, attribute
Edge meaningAttribute-link
Network formatBipartite, undirected
Edge typeUnweighted, no multiple edges
Temporal data Edges are annotated with timestamps


Size n =10,442,421
Left size n1 =5,998,790
Right size n2 =4,443,631
Volume m =20,592,962
Wedge count s =31,413,709,466
Claw count z =310,331,918,210,903
Cross count x =4,592,753,920,185,512,448
Maximum degree dmax =95,165
Maximum left degree d1max =423
Maximum right degree d2max =95,165
Average degree d =3.944 10
Average left degree d1 =3.432 85
Average right degree d2 =4.634 26
Fill p =7.725 33 × 10−7
Size of LCC N =9,363,023
Diameter δ =24
50-Percentile effective diameter δ0.5 =5.482 73
90-Percentile effective diameter δ0.9 =7.315 80
Mean distance δm =6.046 39
Gini coefficient G =0.579 175
Balanced inequality ratio P =0.290 747
Left balanced inequality ratio P1 =0.342 269
Right balanced inequality ratio P2 =0.181 707
Relative edge distribution entropy Her =0.893 300
Power law exponent γ =2.492 22
Tail power law exponent γt =1.961 00
Degree assortativity ρ =−0.017 463 1
Degree assortativity p-value pρ =0.000 00
Spectral norm α =309.460
Spectral separation 1[A] / λ2[A]| =1.316 52
Controllability C =4,592,127
Relative controllability Cr =0.439 757


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 normalized adjacency matrix

Hop distribution

Temporal distribution

Diameter/density evolution

Inter-event distribution



[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, and Dawn Song. Evolution of social-attribute networks: Measurements, modeling, and implications using Google+. In Proc. Internet Measurement Conf., pages 131–144, 2012.