Wikipedia edits (als)

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

Metadata

Codeals
Internal nameedit-alswiki
NameWikipedia edits (als)
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 =55,065
Left size n1 =4,895
Right size n2 =50,170
Volume m =678,457
Unique edge count m̿ =243,105
Wedge count s =1,002,865,790
Claw count z =7,076,971,627,239
Cross count x =49,614,441,335,745,896
Square count q =980,620,219
4-Tour count T4 =11,856,920,670
Maximum degree dmax =194,764
Maximum left degree d1max =194,764
Maximum right degree d2max =6,306
Average degree d =24.642 0
Average left degree d1 =138.602
Average right degree d2 =13.523 2
Fill p =0.000 989 913
Average edge multiplicity m̃ =2.790 80
Size of LCC N =53,513
Diameter δ =12
50-Percentile effective diameter δ0.5 =2.417 48
90-Percentile effective diameter δ0.9 =3.860 19
Median distance δM =3
Mean distance δm =3.046 73
Gini coefficient G =0.832 931
Balanced inequality ratio P =0.167 535
Left balanced inequality ratio P1 =0.035 947 7
Right balanced inequality ratio P2 =0.233 895
Relative edge distribution entropy Her =0.734 496
Power law exponent γ =2.061 20
Tail power law exponent γt =2.351 00
Tail power law exponent with p γ3 =2.351 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.831 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =6.041 00
Right p-value p2 =0.181 000
Degree assortativity ρ =−0.321 267
Degree assortativity p-value pρ =0.000 00
Spectral norm α =4,490.36
Algebraic connectivity a =0.017 472 3

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.