Wikibooks edits (vo)

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


Internal nameedit-vowikibooks
NameWikibooks edits (vo)
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 =394
Left size n1 =89
Right size n2 =305
Volume m =499
Unique edge count m̿ =347
Wedge count s =6,689
Claw count z =223,062
Cross count x =5,991,209
Square count q =22
4-Tour count T4 =27,642
Maximum degree dmax =121
Maximum left degree d1max =121
Maximum right degree d2max =42
Average degree d =2.532 99
Average left degree d1 =5.606 74
Average right degree d2 =1.636 07
Fill p =0.012 783 2
Average edge multiplicity m̃ =1.438 04
Size of LCC N =145
Diameter δ =7
50-Percentile effective diameter δ0.5 =1.814 40
90-Percentile effective diameter δ0.9 =3.803 05
Median distance δM =2
Mean distance δm =2.757 42
Gini coefficient G =0.602 937
Relative edge distribution entropy Her =0.875 236
Power law exponent γ =5.479 19
Tail power law exponent γt =2.721 00
Degree assortativity ρ =−0.262 633
Degree assortativity p-value pρ =6.976 14 × 10−7
Spectral norm α =42.237 4
Algebraic connectivity a =0.054 384 9


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.