Wikipedia edits (ak)

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

Metadata

Codeak
Internal nameedit-akwiki
NameWikipedia edits (ak)
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 =2,872
Left size n1 =837
Right size n2 =2,035
Volume m =11,356
Unique edge count m̿ =5,654
Wedge count s =206,493
Claw count z =7,624,707
Cross count x =292,642,050
Square count q =295,931
4-Tour count T4 =3,206,644
Maximum degree dmax =634
Maximum left degree d1max =634
Maximum right degree d2max =232
Average degree d =7.908 08
Average left degree d1 =13.567 5
Average right degree d2 =5.580 34
Fill p =0.003 319 45
Average edge multiplicity m̃ =2.008 49
Size of LCC N =1,981
Diameter δ =17
50-Percentile effective diameter δ0.5 =4.678 59
90-Percentile effective diameter δ0.9 =7.201 17
Median distance δM =5
Mean distance δm =5.295 27
Gini coefficient G =0.779 795
Relative edge distribution entropy Her =0.851 905
Power law exponent γ =2.765 43
Tail power law exponent γt =2.751 00
Degree assortativity ρ =−0.055 698 0
Degree assortativity p-value pρ =2.784 26 × 10−5
Spectral norm α =135.567
Algebraic connectivity a =0.010 321 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.