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.

Metadata

Codesk
Internal nameedit-skwiki
NameWikipedia edits (sk)
Data sourcehttp://dumps.wikimedia.org/
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
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

Statistics

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
Cross count x =3.657 43 × 1019
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
Relative edge distribution entropy Her =0.723 298
Power law exponent γ =1.814 97
Tail power law exponent γt =3.191 00
Tail power law exponent with p γ3 =3.191 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.831 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =4.311 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.156 591
Degree assortativity p-value pρ =0.000 00
Spectral norm α =7,702.14
Spectral separation |λ1[A] / λ2[A]| =1.669 69
Controllability C =455,562
Relative controllability Cr =0.906 429

Plots

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

Matrix decompositions plots

Downloads

References

[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. http://dumps.wikimedia.org/, January 2010.