Wikiquote edits (uk)

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


Internal nameedit-ukwikisource
NameWikiquote edits (uk)
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 =36,071
Left size n1 =598
Right size n2 =35,473
Volume m =82,153
Unique edge count m̿ =49,167
Wedge count s =120,589,704
Claw count z =363,501,027,412
Cross count x =996,508,435,268,315
Square count q =3,527,830
4-Tour count T4 =510,716,950
Maximum degree dmax =19,447
Maximum left degree d1max =19,447
Maximum right degree d2max =698
Average degree d =4.555 07
Average left degree d1 =137.380
Average right degree d2 =2.315 93
Fill p =0.002 317 79
Average edge multiplicity m̃ =1.670 90
Size of LCC N =35,625
Diameter δ =14
50-Percentile effective diameter δ0.5 =3.452 83
90-Percentile effective diameter δ0.9 =4.869 67
Median distance δM =4
Mean distance δm =3.861 96
Gini coefficient G =0.710 309
Balanced inequality ratio P =0.227 247
Left balanced inequality ratio P1 =0.067 666 4
Right balanced inequality ratio P2 =0.341 034
Relative edge distribution entropy Her =0.709 636
Power law exponent γ =4.931 71
Tail power law exponent γt =1.581 00
Tail power law exponent with p γ3 =1.581 00
p-value p =0.875 000
Left tail power law exponent with p γ3,1 =1.531 00
Left p-value p1 =0.390 000
Right tail power law exponent with p γ3,2 =4.111 00
Right p-value p2 =0.566 000
Degree assortativity ρ =−0.145 430
Degree assortativity p-value pρ =1.489 47 × 10−230
Spectral norm α =339.342
Algebraic connectivity a =0.003 254 09
Spectral separation 1[A] / λ2[A]| =1.073 06
Controllability C =34,858
Relative controllability Cr =0.968 762


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

Double Laplacian graph drawing

Delaunay graph drawing

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.