Wikipedia edits (tpi)

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

Metadata

Codetpi
Internal nameedit-tpiwiki
NameWikipedia edits (tpi)
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 =7,452
Left size n1 =1,966
Right size n2 =5,486
Volume m =74,091
Unique edge count m̿ =34,313
Wedge count s =9,805,739
Claw count z =3,368,235,810
Cross count x =1,094,036,683,241
Square count q =27,393,891
4-Tour count T4 =258,488,390
Maximum degree dmax =5,243
Maximum left degree d1max =5,243
Maximum right degree d2max =312
Average degree d =19.884 9
Average left degree d1 =37.686 2
Average right degree d2 =13.505 5
Fill p =0.003 181 41
Average edge multiplicity m̃ =2.159 27
Size of LCC N =6,921
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.470 58
90-Percentile effective diameter δ0.9 =4.989 92
Median distance δM =4
Mean distance δm =3.947 89
Gini coefficient G =0.829 102
Balanced inequality ratio P =0.169 211
Left balanced inequality ratio P1 =0.082 277 2
Right balanced inequality ratio P2 =0.207 164
Relative edge distribution entropy Her =0.801 987
Power law exponent γ =1.987 68
Tail power law exponent with p γ3 =2.341 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.791 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =2.781 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.216 852
Degree assortativity p-value pρ =0.000 00
Spectral norm α =445.036
Algebraic connectivity a =0.031 428 5
Spectral separation 1[A] / λ2[A]| =2.197 06
Controllability C =5,104
Relative controllability Cr =0.692 162

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.