Wiktionary edits (uk)

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


Internal nameedit-ukwiktionary
NameWiktionary edits (uk)
Data sourcehttp://dumps.wikimedia.org/
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 =45,588
Left size n1 =907
Right size n2 =44,681
Volume m =216,084
Unique edge count m̿ =122,074
Wedge count s =505,243,920
Claw count z =2,461,370,019,695
Cross count x =11,025,600,071,842,706
Square count q =226,429,815
4-Tour count T4 =3,832,842,196
Maximum degree dmax =34,433
Maximum left degree d1max =34,433
Maximum right degree d2max =522
Average degree d =9.479 86
Average left degree d1 =238.240
Average right degree d2 =4.836 15
Fill p =0.003 012 26
Average edge multiplicity m̃ =1.770 11
Size of LCC N =44,609
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.285 33
90-Percentile effective diameter δ0.9 =3.888 41
Median distance δM =4
Mean distance δm =3.434 82
Gini coefficient G =0.798 532
Balanced inequality ratio P =0.177 503
Left balanced inequality ratio P1 =0.039 368 9
Right balanced inequality ratio P2 =0.259 334
Relative edge distribution entropy Her =0.702 027
Power law exponent γ =2.466 60
Tail power law exponent γt =2.221 00
Tail power law exponent with p γ3 =2.221 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.651 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =8.981 00
Right p-value p2 =0.791 000
Degree assortativity ρ =−0.364 172
Degree assortativity p-value pρ =0.000 00
Spectral norm α =562.721
Algebraic connectivity a =0.025 390 5


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. http://dumps.wikimedia.org/, January 2010.