Wikipedia edits (su)

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

Metadata

Codesu
Internal nameedit-suwiki
NameWikipedia edits (su)
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 =68,354
Left size n1 =2,204
Right size n2 =66,150
Volume m =507,845
Unique edge count m̿ =271,504
Wedge count s =1,048,343,059
Claw count z =4,404,651,504,978
Cross count x =16,485,637,718,082,306
Square count q =1,496,409,374
4-Tour count T4 =16,165,211,584
Maximum degree dmax =38,623
Maximum left degree d1max =38,623
Maximum right degree d2max =494
Average degree d =14.859 3
Average left degree d1 =230.420
Average right degree d2 =7.677 17
Fill p =0.001 862 24
Average edge multiplicity m̃ =1.870 49
Size of LCC N =67,268
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.339 16
90-Percentile effective diameter δ0.9 =3.960 06
Median distance δM =4
Mean distance δm =3.596 68
Gini coefficient G =0.853 916
Balanced inequality ratio P =0.137 428
Left balanced inequality ratio P1 =0.043 066 3
Right balanced inequality ratio P2 =0.200 364
Relative edge distribution entropy Her =0.717 082
Power law exponent γ =2.251 20
Tail power law exponent γt =1.941 00
Tail power law exponent with p γ3 =1.941 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.711 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =8.911 00
Right p-value p2 =0.919 000
Degree assortativity ρ =−0.413 950
Degree assortativity p-value pρ =0.000 00
Spectral norm α =939.030
Algebraic connectivity a =0.072 104 0
Spectral separation |λ1[A] / λ2[A]| =2.230 54
Controllability C =63,965
Relative controllability Cr =0.939 322

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.