Wikiversity edits (de)

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


Internal nameedit-dewikiversity
NameWikiversity edits (de)
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 =82,453
Left size n1 =5,613
Right size n2 =76,840
Volume m =422,143
Unique edge count m̿ =117,865
Wedge count s =934,708,643
Claw count z =10,924,714,907,700
Cross count x =103,673,450,186,756,976
Square count q =44,229,078
4-Tour count T4 =4,092,917,374
Maximum degree dmax =122,179
Maximum left degree d1max =122,179
Maximum right degree d2max =7,220
Average degree d =10.239 6
Average left degree d1 =75.208 1
Average right degree d2 =5.493 79
Fill p =0.000 273 277
Average edge multiplicity m̃ =3.581 58
Size of LCC N =80,278
Diameter δ =16
50-Percentile effective diameter δ0.5 =3.467 73
90-Percentile effective diameter δ0.9 =5.360 62
Median distance δM =4
Mean distance δm =3.903 88
Gini coefficient G =0.827 823
Balanced inequality ratio P =0.158 362
Left balanced inequality ratio P1 =0.108 442
Right balanced inequality ratio P2 =0.228 389
Relative edge distribution entropy Her =0.723 801
Power law exponent γ =4.317 88
Tail power law exponent γt =2.961 00
Tail power law exponent with p γ3 =2.961 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.941 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =2.751 00
Right p-value p2 =0.527 000
Degree assortativity ρ =−0.141 225
Degree assortativity p-value pρ =0.000 00
Spectral norm α =4,282.78
Algebraic connectivity a =0.010 555 9


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.