Wikibooks edits (ia)

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

Metadata

Codebia
Internal nameedit-iawikibooks
NameWikibooks edits (ia)
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 =885
Left size n1 =164
Right size n2 =721
Volume m =1,494
Unique edge count m̿ =899
Wedge count s =35,960
Claw count z =1,805,315
Cross count x =73,363,027
Square count q =1,052
4-Tour count T4 =154,830
Maximum degree dmax =319
Maximum left degree d1max =319
Maximum right degree d2max =126
Average degree d =3.376 27
Average left degree d1 =9.109 76
Average right degree d2 =2.072 12
Fill p =0.007 602 92
Average edge multiplicity m̃ =1.661 85
Size of LCC N =636
Diameter δ =14
50-Percentile effective diameter δ0.5 =5.077 01
90-Percentile effective diameter δ0.9 =7.397 32
Median distance δM =6
Mean distance δm =5.041 60
Gini coefficient G =0.671 959
Balanced inequality ratio P =0.238 621
Left balanced inequality ratio P1 =0.166 667
Right balanced inequality ratio P2 =0.320 616
Relative edge distribution entropy Her =0.836 997
Power law exponent γ =5.009 28
Tail power law exponent γt =2.621 00
Tail power law exponent with p γ3 =2.621 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.921 00
Left p-value p1 =0.049 000 0
Right tail power law exponent with p γ3,2 =4.781 00
Right p-value p2 =0.001 000 00
Degree assortativity ρ =−0.217 884
Degree assortativity p-value pρ =4.021 66 × 10−11
Spectral norm α =87.561 1
Algebraic connectivity a =0.010 256 9

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.