Wikipedia edits (sah)

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


Internal nameedit-sahwiki
NameWikipedia edits (sah)
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 =39,858
Left size n1 =1,763
Right size n2 =38,095
Volume m =317,875
Unique edge count m̿ =165,493
Wedge count s =368,985,064
Claw count z =1,000,775,111,835
Cross count x =2,702,539,435,571,483
Square count q =693,625,954
4-Tour count T4 =7,025,432,482
Maximum degree dmax =32,513
Maximum left degree d1max =32,513
Maximum right degree d2max =578
Average degree d =15.950 4
Average left degree d1 =180.303
Average right degree d2 =8.344 27
Fill p =0.002 464 11
Average edge multiplicity m̃ =1.920 78
Size of LCC N =38,581
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.356 86
90-Percentile effective diameter δ0.9 =4.161 69
Median distance δM =4
Mean distance δm =3.643 89
Gini coefficient G =0.843 909
Balanced inequality ratio P =0.154 499
Left balanced inequality ratio P1 =0.047 896 2
Right balanced inequality ratio P2 =0.204 159
Relative edge distribution entropy Her =0.729 952
Power law exponent γ =2.264 15
Tail power law exponent γt =1.801 00
Degree assortativity ρ =−0.352 092
Degree assortativity p-value pρ =0.000 00
Spectral norm α =725.669
Algebraic connectivity a =0.044 143 3


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.