Wikipedia edits (fr)

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

Metadata

Codefr
Internal nameedit-frwiki
NameWikipedia edits (fr)
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 =9,628,383
Left size n1 =757,621
Right size n2 =8,870,762
Volume m =114,683,619
Unique edge count m̿ =52,950,008
Wedge count s =6,751,534,062,412
Claw count z =166,526,550,275,572,928
Cross count x =2.678 65 × 1022
Maximum degree dmax =2,510,808
Maximum left degree d1max =2,510,808
Maximum right degree d2max =135,866
Average degree d =23.822 0
Average left degree d1 =151.373
Average right degree d2 =12.928 3
Fill p =1.905 16 × 10−5
Average edge multiplicity m̃ =2.089 95
Size of LCC N =9,459,653
Diameter δ =14
50-Percentile effective diameter δ0.5 =3.426 90
90-Percentile effective diameter δ0.9 =3.968 53
Median distance δM =4
Mean distance δm =3.780 77
Gini coefficient G =0.878 921
Balanced inequality ratio P =0.123 240
Left balanced inequality ratio P1 =0.039 349 7
Right balanced inequality ratio P2 =0.171 625
Relative edge distribution entropy Her =0.753 893
Power law exponent γ =2.088 20
Degree assortativity ρ =−0.131 081
Degree assortativity p-value pρ =0.000 00
Spectral norm α =42,160.6

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

Hop distribution

Edge weight/multiplicity distribution

Temporal distribution

Diameter/density evolution

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.