Wikipedia edits (cs)

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


Internal nameedit-cswiki
NameWikipedia edits (cs)
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 =1,114,389
Left size n1 =83,870
Right size n2 =1,030,519
Volume m =12,998,902
Unique edge count m̿ =6,903,670
Wedge count s =179,644,761,176
Claw count z =9,920,289,916,460,502
Cross count x =6.262 12 × 1020
Maximum degree dmax =995,336
Maximum left degree d1max =995,336
Maximum right degree d2max =25,562
Average degree d =23.329 2
Average left degree d1 =154.989
Average right degree d2 =12.613 9
Average edge multiplicity m̃ =1.882 90
Size of LCC N =1,097,632
Diameter δ =16
50-Percentile effective diameter δ0.5 =3.413 74
90-Percentile effective diameter δ0.9 =3.959 64
Median distance δM =4
Mean distance δm =3.758 49
Balanced inequality ratio P =0.158 713
Left balanced inequality ratio P1 =0.043 286 4
Right balanced inequality ratio P2 =0.214 355
Power law exponent γ =1.904 84
Tail power law exponent γt =2.901 00
Degree assortativity ρ =−0.068 730 8
Degree assortativity p-value pρ =0.000 00
Spectral norm α =5,147.27
Spectral separation 1[A] / λ2[A]| =1.075 37
Controllability C =963,998
Relative controllability Cr =0.871 991


Degree distribution

Cumulative degree distribution

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

Hop distribution

Edge weight/multiplicity distribution

Temporal distribution



[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.