Wikibooks edits (cy)

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

Metadata

Codebcy
Internal nameedit-cywikibooks
NameWikibooks edits (cy)
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 =781
Left size n1 =169
Right size n2 =612
Volume m =1,170
Unique edge count m̿ =755
Wedge count s =27,176
Claw count z =1,404,998
Cross count x =58,091,812
Square count q =509
4-Tour count T4 =114,958
Maximum degree dmax =283
Maximum left degree d1max =283
Maximum right degree d2max =45
Average degree d =2.996 16
Average left degree d1 =6.923 08
Average right degree d2 =1.911 76
Fill p =0.007 299 76
Average edge multiplicity m̃ =1.549 67
Size of LCC N =535
Diameter δ =16
50-Percentile effective diameter δ0.5 =5.880 07
90-Percentile effective diameter δ0.9 =9.843 02
Median distance δM =6
Mean distance δm =6.287 67
Gini coefficient G =0.633 395
Relative edge distribution entropy Her =0.850 378
Power law exponent γ =5.080 16
Tail power law exponent γt =2.641 00
Degree assortativity ρ =−0.185 673
Degree assortativity p-value pρ =2.775 62 × 10−7
Spectral norm α =45.188 5
Algebraic connectivity a =0.001 823 66

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.