Wikipedia edits (ve)

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

Metadata

Codeve
Internal nameedit-vewiki
NameWikipedia edits (ve)
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 =2,134
Left size n1 =543
Right size n2 =1,591
Volume m =11,047
Unique edge count m̿ =5,178
Wedge count s =237,318
Claw count z =9,668,566
Cross count x =394,027,698
Square count q =460,826
4-Tour count T4 =4,647,404
Maximum degree dmax =786
Maximum left degree d1max =786
Maximum right degree d2max =190
Average degree d =10.353 3
Average left degree d1 =20.344 4
Average right degree d2 =6.943 43
Fill p =0.005 993 66
Average edge multiplicity m̃ =2.133 45
Size of LCC N =1,550
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.817 30
90-Percentile effective diameter δ0.9 =5.871 80
Median distance δM =4
Mean distance δm =4.508 02
Gini coefficient G =0.795 306
Relative edge distribution entropy Her =0.836 430
Power law exponent γ =2.508 83
Tail power law exponent γt =2.491 00
Degree assortativity ρ =−0.028 725 2
Degree assortativity p-value pρ =0.038 739 5
Spectral norm α =140.006
Algebraic connectivity a =0.019 380 0

Plots

Fruchterman–Reingold graph drawing

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

Double Laplacian graph drawing

Delaunay graph drawing

Edge weight/multiplicity distribution

Temporal distribution

Temporal hop distribution

Diameter/density evolution

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.