Wikipedia edits (de)

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


Internal nameedit-dewiki
NameWikipedia 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 =6,935,516
Left size n1 =1,025,084
Right size n2 =5,910,432
Volume m =129,885,939
Unique edge count m̿ =55,231,903
Wedge count s =1,810,303,880,136
Claw count z =12,663,862,099,328,266
Cross count x =5.579 95 × 1020
Maximum degree dmax =1,848,003
Maximum left degree d1max =1,848,003
Maximum right degree d2max =455,357
Average degree d =37.455 3
Average left degree d1 =126.708
Average right degree d2 =21.975 7
Fill p =1.911 72 × 10−5
Average edge multiplicity m̃ =2.351 65
Size of LCC N =6,748,516
Diameter δ =16
50-Percentile effective diameter δ0.5 =3.515 06
90-Percentile effective diameter δ0.9 =4.476 14
Median distance δM =4
Mean distance δm =3.996 96
Gini coefficient G =0.877 367
Balanced inequality ratio P =0.132 174
Left balanced inequality ratio P1 =0.049 029 6
Right balanced inequality ratio P2 =0.181 482
Relative edge distribution entropy Her =0.794 020
Power law exponent γ =1.872 70
Degree assortativity ρ =−0.086 368 4
Degree assortativity p-value pρ =0.000 00
Spectral norm α =12,945.4


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 normalized adjacency matrix

Hop distribution

Edge weight/multiplicity distribution

Temporal distribution

Diameter/density evolution



[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.