Wikipedia edits (sco)

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

Metadata

Codesco
Internal nameedit-scowiki
NameWikipedia edits (sco)
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 =169,949
Left size n1 =4,055
Right size n2 =165,894
Volume m =487,512
Unique edge count m̿ =315,873
Wedge count s =4,807,032,612
Claw count z =99,116,342,765,027
Cross count x =1,690,291,229,694,369,536
Square count q =693,570,867
4-Tour count T4 =24,777,366,282
Maximum degree dmax =105,549
Maximum left degree d1max =105,549
Maximum right degree d2max =627
Average degree d =5.737 16
Average left degree d1 =120.225
Average right degree d2 =2.938 70
Fill p =0.000 469 560
Average edge multiplicity m̃ =1.543 38
Size of LCC N =153,984
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.101 90
90-Percentile effective diameter δ0.9 =3.880 33
Median distance δM =4
Mean distance δm =3.181 06
Gini coefficient G =0.809 106
Balanced inequality ratio P =0.160 075
Left balanced inequality ratio P1 =0.039 789 8
Right balanced inequality ratio P2 =0.254 796
Relative edge distribution entropy Her =0.681 620
Power law exponent γ =4.000 31
Tail power law exponent γt =2.381 00
Tail power law exponent with p γ3 =2.381 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.781 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =6.321 00
Right p-value p2 =0.922 000
Degree assortativity ρ =−0.471 164
Degree assortativity p-value pρ =0.000 00
Spectral norm α =729.613
Algebraic connectivity a =0.046 135 6

Plots

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

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.