Wikipedia edits (bpy)

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

Metadata

Codebpy
Internal nameedit-bpywiki
NameWikipedia edits (bpy)
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 =59,218
Left size n1 =1,320
Right size n2 =57,898
Volume m =751,880
Unique edge count m̿ =399,738
Wedge count s =3,036,538,714
Claw count z =30,671,398,549,132
Cross count x =324,559,374,630,734,912
Square count q =6,334,365,685
4-Tour count T4 =62,821,967,140
Maximum degree dmax =111,146
Maximum left degree d1max =111,146
Maximum right degree d2max =17,272
Average degree d =25.393 6
Average left degree d1 =569.606
Average right degree d2 =12.986 3
Fill p =0.005 230 44
Average edge multiplicity m̃ =1.880 93
Size of LCC N =58,395
Diameter δ =14
50-Percentile effective diameter δ0.5 =1.607 56
90-Percentile effective diameter δ0.9 =3.375 50
Median distance δM =2
Mean distance δm =2.353 48
Gini coefficient G =0.836 770
Balanced inequality ratio P =0.171 738
Left balanced inequality ratio P1 =0.034 589 3
Right balanced inequality ratio P2 =0.234 813
Relative edge distribution entropy Her =0.712 135
Power law exponent γ =1.824 33
Tail power law exponent γt =4.091 00
Degree assortativity ρ =−0.384 710
Degree assortativity p-value pρ =0.000 00
Spectral norm α =17,938.7
Algebraic connectivity a =0.044 343 2

Plots

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.