Wikiquote edits (ru)

This is the bipartite edit network of the Russian Wikiquote. It contains users and pages from the Russian Wikiquote, connected by edit events. Each edge represents an edit. The dataset includes the timestamp of each edit.


Internal nameedit-ruwikiquote
NameWikiquote edits (ru)
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Authorship network
Dataset timestamp 2017-10-20
Node meaningUser, article
Edge meaningEdit
Network formatBipartite, undirected
Edge typeUnweighted, multiple edges
Temporal data Edges are annotated with timestamps


Size n =37,740
Left size n1 =5,538
Right size n2 =32,202
Volume m =204,682
Unique edge count m̿ =102,731
Wedge count s =125,401,935
Claw count z =307,366,586,878
Cross count x =787,494,997,710,083
Square count q =43,862,281
4-Tour count T4 =852,826,158
Maximum degree dmax =18,852
Maximum left degree d1max =18,852
Maximum right degree d2max =1,671
Average degree d =10.847 0
Average left degree d1 =36.959 6
Average right degree d2 =6.356 19
Fill p =0.000 576 057
Average edge multiplicity m̃ =1.992 41
Size of LCC N =36,744
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.412 68
90-Percentile effective diameter δ0.9 =4.514 66
Median distance δM =4
Mean distance δm =3.798 25
Gini coefficient G =0.813 457
Balanced inequality ratio P =0.171 867
Left balanced inequality ratio P1 =0.086 856 7
Right balanced inequality ratio P2 =0.231 359
Relative edge distribution entropy Her =0.775 179
Power law exponent γ =2.467 59
Tail power law exponent γt =2.491 00
Tail power law exponent with p γ3 =2.491 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.871 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =4.021 00
Right p-value p2 =0.087 000 0
Degree assortativity ρ =−0.156 588
Degree assortativity p-value pρ =0.000 00
Spectral norm α =554.777
Algebraic connectivity a =0.043 789 0


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

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] Wikimedia Foundation. Wikimedia downloads., January 2010.