Wikipedia edits (sk)

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


Internal nameedit-skwiki
NameWikipedia edits (sk)
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 =504,318
Left size n1 =27,200
Right size n2 =477,118
Volume m =5,788,725
Unique edge count m̿ =3,294,038
Wedge count s =69,534,963,330
Claw count z =1,676,198,805,452,371
Maximum degree dmax =265,882
Maximum left degree d1max =265,882
Maximum right degree d2max =6,326
Average degree d =22.956 6
Average left degree d1 =212.821
Average right degree d2 =12.132 7
Average edge multiplicity m̃ =1.757 33
Size of LCC N =499,796
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.310 85
90-Percentile effective diameter δ0.9 =3.899 36
Median distance δM =4
Mean distance δm =3.525 24
Gini coefficient G =0.834 009
Balanced inequality ratio P =0.167 075
Left balanced inequality ratio P1 =0.031 354 4
Right balanced inequality ratio P2 =0.235 037
Power law exponent γ =1.814 97
Tail power law exponent γt =3.191 00
Degree assortativity ρ =−0.156 591
Degree assortativity p-value pρ =0.000 00
Spectral norm α =7,702.14
Spectral separation 1[A] / λ2[A]| =1.669 69


Fruchterman–Reingold graph drawing

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

Delaunay graph drawing

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.