Wikipedia edits (it)

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

Metadata

Codeit
Internal nameedit-itwiki
NameWikipedia edits (it)
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 =5,200,968
Left size n1 =343,860
Right size n2 =4,857,108
Volume m =67,613,396
Unique edge count m̿ =31,924,654
Wedge count s =2,982,739,101,286
Claw count z =22,557,694,419,732,084
Cross count x =1.546 68 × 1021
Maximum degree dmax =1,930,504
Maximum left degree d1max =1,930,504
Maximum right degree d2max =57,661
Average degree d =26.000 3
Average left degree d1 =196.631
Average right degree d2 =13.920 5
Fill p =4.070 85 × 10−5
Average edge multiplicity m̃ =2.075 26
Size of LCC N =5,119,834
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.408 80
90-Percentile effective diameter δ0.9 =3.933 04
Median distance δM =4
Mean distance δm =3.737 90
Gini coefficient G =0.869 004
Balanced inequality ratio P =0.135 879
Left balanced inequality ratio P1 =0.040 344 3
Right balanced inequality ratio P2 =0.188 266
Relative edge distribution entropy Her =0.752 320
Power law exponent γ =2.022 16
Tail power law exponent γt =2.591 00
Degree assortativity ρ =−0.126 562
Degree assortativity p-value pρ =0.000 00
Spectral norm α =11,825.6

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 normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Edge weight/multiplicity distribution

Temporal distribution

Diameter/density evolution

Inter-event distribution

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.