Wikibooks edits (pa)

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

Metadata

Codebpa
Internal nameedit-pawikibooks
NameWikibooks edits (pa)
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 =824
Left size n1 =167
Right size n2 =657
Volume m =1,278
Unique edge count m̿ =810
Wedge count s =22,544
Claw count z =1,068,135
Cross count x =45,209,071
Square count q =269
4-Tour count T4 =94,216
Maximum degree dmax =212
Maximum left degree d1max =212
Maximum right degree d2max =75
Average degree d =3.101 94
Average left degree d1 =7.652 69
Average right degree d2 =1.945 21
Fill p =0.007 382 50
Average edge multiplicity m̃ =1.577 78
Size of LCC N =574
Diameter δ =13
50-Percentile effective diameter δ0.5 =5.255 99
90-Percentile effective diameter δ0.9 =7.925 61
Median distance δM =6
Mean distance δm =5.582 95
Gini coefficient G =0.641 319
Relative edge distribution entropy Her =0.862 098
Power law exponent γ =5.053 97
Tail power law exponent γt =2.631 00
Degree assortativity ρ =−0.164 707
Degree assortativity p-value pρ =2.445 46 × 10−6
Spectral norm α =63.201 0
Algebraic connectivity a =0.004 174 71

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.