Wikibooks edits (la)

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

Metadata

Codebla
Internal nameedit-lawikibooks
NameWikibooks edits (la)
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 =1,014
Left size n1 =209
Right size n2 =805
Volume m =2,950
Unique edge count m̿ =1,229
Wedge count s =50,143
Claw count z =2,584,797
Cross count x =112,102,288
Square count q =6,349
4-Tour count T4 =254,786
Maximum degree dmax =955
Maximum left degree d1max =955
Maximum right degree d2max =153
Average degree d =5.818 54
Average left degree d1 =14.114 8
Average right degree d2 =3.664 60
Fill p =0.007 304 82
Average edge multiplicity m̃ =2.400 33
Size of LCC N =740
Diameter δ =13
50-Percentile effective diameter δ0.5 =4.364 84
90-Percentile effective diameter δ0.9 =9.163 20
Median distance δM =5
Mean distance δm =5.588 81
Gini coefficient G =0.758 200
Relative edge distribution entropy Her =0.840 352
Power law exponent γ =3.747 45
Tail power law exponent γt =2.201 00
Degree assortativity ρ =−0.200 576
Degree assortativity p-value pρ =1.277 76 × 10−12
Spectral norm α =173.568
Algebraic connectivity a =0.004 155 50

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.