Wikipedia edits (ki)

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

Metadata

Codeki
Internal nameedit-kiwiki
NameWikipedia edits (ki)
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 =3,382
Left size n1 =559
Right size n2 =2,823
Volume m =11,092
Unique edge count m̿ =5,147
Wedge count s =277,488
Claw count z =17,168,212
Cross count x =1,109,696,627
Square count q =390,626
4-Tour count T4 =4,245,386
Maximum degree dmax =1,696
Maximum left degree d1max =1,696
Maximum right degree d2max =211
Average degree d =6.559 43
Average left degree d1 =19.842 6
Average right degree d2 =3.929 15
Fill p =0.003 261 61
Average edge multiplicity m̃ =2.155 04
Size of LCC N =1,652
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.853 31
90-Percentile effective diameter δ0.9 =5.937 89
Median distance δM =4
Mean distance δm =4.574 51
Gini coefficient G =0.786 243
Balanced inequality ratio P =0.181 798
Left balanced inequality ratio P1 =0.126 037
Right balanced inequality ratio P2 =0.197 169
Relative edge distribution entropy Her =0.836 351
Power law exponent γ =2.542 36
Tail power law exponent γt =1.921 00
Tail power law exponent with p γ3 =1.921 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.721 00
Left p-value p1 =0.538 000
Right tail power law exponent with p γ3,2 =2.011 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.076 472 5
Degree assortativity p-value pρ =3.950 60 × 10−8
Spectral norm α =156.645
Algebraic connectivity a =0.027 108 7
Spectral separation 1[A] / λ2[A]| =1.349 80
Controllability C =1,171
Relative controllability Cr =0.531 066

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.