Wikipedia edits (ky)

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


Internal nameedit-kywiki
NameWikipedia edits (ky)
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 =89,898
Left size n1 =2,291
Right size n2 =87,607
Volume m =239,048
Unique edge count m̿ =152,880
Wedge count s =1,015,964,436
Claw count z =12,127,250,043,900
Cross count x =122,375,168,352,526,096
Square count q =44,405,616
4-Tour count T4 =4,419,416,124
Maximum degree dmax =51,371
Maximum left degree d1max =51,371
Maximum right degree d2max =360
Average degree d =5.318 21
Average left degree d1 =104.342
Average right degree d2 =2.728 64
Fill p =0.000 761 705
Average edge multiplicity m̃ =1.563 63
Size of LCC N =88,146
Diameter δ =14
50-Percentile effective diameter δ0.5 =3.448 16
90-Percentile effective diameter δ0.9 =5.276 23
Median distance δM =4
Mean distance δm =3.879 00
Gini coefficient G =0.764 426
Balanced inequality ratio P =0.193 390
Left balanced inequality ratio P1 =0.064 234 0
Right balanced inequality ratio P2 =0.297 635
Relative edge distribution entropy Her =0.717 490
Power law exponent γ =4.051 71
Tail power law exponent γt =2.401 00
Degree assortativity ρ =−0.294 590
Degree assortativity p-value pρ =0.000 00
Spectral norm α =397.018
Algebraic connectivity a =0.012 188 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., January 2010.