Wikibooks edits (tt)

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

Metadata

Codebtt
Internal nameedit-ttwikibooks
NameWikibooks edits (tt)
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 =1,671
Left size n1 =178
Right size n2 =1,493
Volume m =2,861
Unique edge count m̿ =1,921
Wedge count s =203,822
Claw count z =21,808,444
Cross count x =1,944,560,379
Square count q =20,276
4-Tour count T4 =981,366
Maximum degree dmax =807
Maximum left degree d1max =807
Maximum right degree d2max =42
Average degree d =3.424 30
Average left degree d1 =16.073 0
Average right degree d2 =1.916 28
Fill p =0.007 228 49
Average edge multiplicity m̃ =1.489 33
Size of LCC N =1,391
Diameter δ =14
50-Percentile effective diameter δ0.5 =3.732 08
90-Percentile effective diameter δ0.9 =6.516 36
Median distance δM =4
Mean distance δm =4.586 32
Gini coefficient G =0.645 767
Balanced inequality ratio P =0.259 874
Left balanced inequality ratio P1 =0.126 180
Right balanced inequality ratio P2 =0.368 053
Relative edge distribution entropy Her =0.785 942
Power law exponent γ =4.491 31
Tail power law exponent γt =2.511 00
Tail power law exponent with p γ3 =2.511 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.791 00
Left p-value p1 =0.118 000
Right tail power law exponent with p γ3,2 =5.351 00
Right p-value p2 =0.045 000 0
Degree assortativity ρ =−0.167 158
Degree assortativity p-value pρ =1.661 14 × 10−13
Spectral norm α =62.440 1
Algebraic connectivity a =0.012 672 7

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.