Wikipedia edits (ht)

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

Metadata

Codeht
Internal nameedit-htwiki
NameWikipedia edits (ht)
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 =64,801
Left size n1 =2,045
Right size n2 =62,756
Volume m =679,189
Unique edge count m̿ =398,588
Wedge count s =3,094,636,304
Claw count z =28,306,085,088,306
Cross count x =241,361,004,591,982,720
Square count q =4,488,984,303
4-Tour count T4 =48,291,928,924
Maximum degree dmax =62,197
Maximum left degree d1max =62,197
Maximum right degree d2max =434
Average degree d =20.962 3
Average left degree d1 =332.122
Average right degree d2 =10.822 7
Fill p =0.003 105 82
Average edge multiplicity m̃ =1.703 99
Size of LCC N =61,616
Diameter δ =13
50-Percentile effective diameter δ0.5 =1.698 51
90-Percentile effective diameter δ0.9 =3.646 42
Median distance δM =2
Mean distance δm =2.553 21
Gini coefficient G =0.797 947
Balanced inequality ratio P =0.184 744
Left balanced inequality ratio P1 =0.034 395 4
Right balanced inequality ratio P2 =0.275 409
Relative edge distribution entropy Her =0.720 465
Tail power law exponent γt =2.751 00
Tail power law exponent with p γ3 =2.751 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.681 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =2.841 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.417 492
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,119.04
Algebraic connectivity a =0.022 502 6
Controllability C =58,558
Relative controllability Cr =0.938 279

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

Delaunay graph drawing

Edge weight/multiplicity distribution

Temporal 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.