Wikipedia edits (scn)

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


Internal nameedit-scnwiki
NameWikipedia edits (scn)
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 =59,039
Left size n1 =2,902
Right size n2 =56,137
Volume m =681,366
Unique edge count m̿ =318,199
Wedge count s =1,207,411,688
Claw count z =4,970,585,671,907
Cross count x =18,284,734,238,346,192
Square count q =3,080,388,613
4-Tour count T4 =29,473,550,354
Maximum degree dmax =45,030
Maximum left degree d1max =45,030
Maximum right degree d2max =2,557
Average degree d =23.081 9
Average left degree d1 =234.792
Average right degree d2 =12.137 6
Fill p =0.001 953 22
Average edge multiplicity m̃ =2.141 32
Size of LCC N =57,687
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.206 30
90-Percentile effective diameter δ0.9 =3.900 96
Median distance δM =4
Mean distance δm =3.365 92
Gini coefficient G =0.863 783
Balanced inequality ratio P =0.144 540
Left balanced inequality ratio P1 =0.031 143 3
Right balanced inequality ratio P2 =0.191 075
Relative edge distribution entropy Her =0.725 025
Power law exponent γ =2.013 49
Tail power law exponent γt =1.691 00
Degree assortativity ρ =−0.304 440
Degree assortativity p-value pρ =0.000 00
Spectral norm α =2,037.53
Algebraic connectivity a =0.067 501 6


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.