Wikipedia edits (br)

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


Internal nameedit-brwiki
NameWikipedia edits (br)
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
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


Size n =128,363
Left size n1 =4,828
Right size n2 =123,535
Volume m =1,662,810
Unique edge count m̿ =768,711
Wedge count s =6,707,936,351
Claw count z =59,659,797,263,022
Cross count x =458,097,795,192,635,200
Square count q =12,397,253,831
4-Tour count T4 =126,011,381,622
Maximum degree dmax =163,518
Maximum left degree d1max =163,518
Maximum right degree d2max =4,452
Average degree d =25.907 9
Average left degree d1 =344.410
Average right degree d2 =13.460 2
Fill p =0.001 288 86
Average edge multiplicity m̃ =2.163 11
Size of LCC N =126,795
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.110 32
90-Percentile effective diameter δ0.9 =3.880 60
Median distance δM =4
Mean distance δm =3.199 31
Gini coefficient G =0.815 890
Balanced inequality ratio P =0.182 674
Left balanced inequality ratio P1 =0.026 080 6
Right balanced inequality ratio P2 =0.254 046
Relative edge distribution entropy Her =0.720 670
Power law exponent γ =1.822 72
Tail power law exponent γt =3.341 00
Degree assortativity ρ =−0.219 760
Degree assortativity p-value pρ =0.000 00
Spectral norm α =2,422.98


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

Diameter/density evolution

Matrix decompositions plots



[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., January 2010.