Wikipedia edits (koi)

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


Internal nameedit-koiwiki
NameWikipedia edits (koi)
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 =7,691
Left size n1 =532
Right size n2 =7,159
Volume m =47,771
Unique edge count m̿ =27,885
Wedge count s =19,116,309
Claw count z =14,601,310,956
Cross count x =9,775,998,346,319
Square count q =17,138,592
4-Tour count T4 =213,631,022
Maximum degree dmax =8,245
Maximum left degree d1max =8,245
Maximum right degree d2max =230
Average degree d =12.422 6
Average left degree d1 =89.795 1
Average right degree d2 =6.672 86
Fill p =0.007 321 61
Average edge multiplicity m̃ =1.713 14
Size of LCC N =7,198
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.087 79
90-Percentile effective diameter δ0.9 =3.939 12
Median distance δM =4
Mean distance δm =3.251 08
Gini coefficient G =0.802 919
Balanced inequality ratio P =0.179 743
Left balanced inequality ratio P1 =0.070 984 5
Right balanced inequality ratio P2 =0.259 279
Relative edge distribution entropy Her =0.754 099
Power law exponent γ =2.076 34
Tail power law exponent γt =2.401 00
Tail power law exponent with p γ3 =2.401 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.471 00
Left p-value p1 =0.006 000 00
Right tail power law exponent with p γ3,2 =2.631 00
Right p-value p2 =0.000 00
Spectral norm α =273.164
Algebraic connectivity a =0.028 556 5
Spectral separation 1[A] / λ2[A]| =1.495 35
Controllability C =6,531
Relative controllability Cr =0.868 831


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.