Wikipedia edits (ng)

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

Metadata

Codeng
Internal nameedit-ngwiki
NameWikipedia edits (ng)
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 =663
Left size n1 =221
Right size n2 =442
Volume m =1,897
Unique edge count m̿ =875
Wedge count s =9,244
Claw count z =82,239
Cross count x =703,240
Square count q =5,613
4-Tour count T4 =84,066
Maximum degree dmax =160
Maximum left degree d1max =160
Maximum right degree d2max =118
Average degree d =5.722 47
Average left degree d1 =8.583 71
Average right degree d2 =4.291 86
Fill p =0.008 957 64
Average edge multiplicity m̃ =2.168 00
Size of LCC N =403
Diameter δ =12
50-Percentile effective diameter δ0.5 =4.514 54
90-Percentile effective diameter δ0.9 =6.493 66
Median distance δM =5
Mean distance δm =4.935 72
Gini coefficient G =0.710 330
Balanced inequality ratio P =0.208 751
Left balanced inequality ratio P1 =0.180 812
Right balanced inequality ratio P2 =0.228 255
Relative edge distribution entropy Her =0.888 245
Power law exponent γ =3.143 37
Tail power law exponent γt =2.131 00
Tail power law exponent with p γ3 =2.131 00
p-value p =0.022 000 0
Left tail power law exponent with p γ3,1 =1.851 00
Left p-value p1 =0.292 000
Right tail power law exponent with p γ3,2 =2.391 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.132 024
Degree assortativity p-value pρ =8.969 63 × 10−5
Algebraic connectivity a =0.030 004 1

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.