Wikibooks edits (simple)

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


Internal nameedit-simplewikibooks
NameWikibooks edits (simple)
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 =3,253
Left size n1 =635
Right size n2 =2,618
Volume m =11,524
Unique edge count m̿ =6,120
Wedge count s =588,463
Claw count z =69,823,557
Cross count x =7,240,340,104
Square count q =130,612
4-Tour count T4 =3,413,892
Maximum degree dmax =1,279
Maximum left degree d1max =1,279
Maximum right degree d2max =469
Average degree d =7.085 15
Average left degree d1 =18.148 0
Average right degree d2 =4.401 83
Fill p =0.003 681 36
Average edge multiplicity m̃ =1.883 01
Size of LCC N =3,103
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.521 98
90-Percentile effective diameter δ0.9 =4.769 67
Median distance δM =4
Mean distance δm =3.982 58
Gini coefficient G =0.738 208
Relative edge distribution entropy Her =0.829 648
Power law exponent γ =2.574 08
Tail power law exponent γt =2.431 00
Degree assortativity ρ =−0.211 145
Degree assortativity p-value pρ =1.241 04 × 10−62
Spectral norm α =236.759
Algebraic connectivity a =0.087 903 0


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.