Wikipedia edits (ga)

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


Internal nameedit-gawiki
NameWikipedia edits (ga)
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 =71,677
Left size n1 =3,936
Right size n2 =67,741
Volume m =789,085
Unique edge count m̿ =373,422
Wedge count s =1,303,541,184
Claw count z =5,087,573,426,588
Cross count x =17,693,773,241,769,704
Square count q =2,843,936,563
4-Tour count T4 =27,966,581,052
Maximum degree dmax =55,265
Maximum left degree d1max =55,265
Maximum right degree d2max =731
Average degree d =22.017 8
Average left degree d1 =200.479
Average right degree d2 =11.648 6
Fill p =0.001 400 53
Average edge multiplicity m̃ =2.113 12
Size of LCC N =69,764
Diameter δ =10
50-Percentile effective diameter δ0.5 =3.323 11
90-Percentile effective diameter δ0.9 =3.920 85
Median distance δM =4
Mean distance δm =3.559 82
Gini coefficient G =0.859 887
Balanced inequality ratio P =0.142 962
Left balanced inequality ratio P1 =0.037 798 2
Right balanced inequality ratio P2 =0.199 630
Relative edge distribution entropy Her =0.735 153
Power law exponent γ =2.007 12
Tail power law exponent γt =1.821 00
Degree assortativity ρ =−0.262 871
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,917.43
Algebraic connectivity a =0.076 899 0


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.