Wikipedia edits (ast)

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


Internal nameedit-astwiki
NameWikipedia edits (ast)
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 =81,704
Left size n1 =4,033
Right size n2 =77,671
Volume m =994,558
Unique edge count m̿ =436,676
Wedge count s =2,402,087,150
Claw count z =17,633,789,427,562
Cross count x =121,576,211,435,839,248
Square count q =4,081,465,143
4-Tour count T4 =42,261,423,196
Maximum degree dmax =175,172
Maximum left degree d1max =175,172
Maximum right degree d2max =1,711
Average degree d =24.345 4
Average left degree d1 =246.605
Average right degree d2 =12.804 8
Fill p =0.001 394 03
Average edge multiplicity m̃ =2.277 57
Size of LCC N =80,307
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.154 96
90-Percentile effective diameter δ0.9 =3.866 24
Median distance δM =4
Mean distance δm =3.259 63
Gini coefficient G =0.830 293
Balanced inequality ratio P =0.165 777
Left balanced inequality ratio P1 =0.033 717 5
Right balanced inequality ratio P2 =0.246 428
Relative edge distribution entropy Her =0.726 371
Power law exponent γ =1.917 29
Tail power law exponent γt =3.091 00
Tail power law exponent with p γ3 =3.091 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.721 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =4.991 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.441 800
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,646.66
Algebraic connectivity a =0.042 999 9
Spectral separation 1[A] / λ2[A]| =1.324 35
Controllability C =73,772
Relative controllability Cr =0.909 564


Fruchterman–Reingold graph drawing

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

Double Laplacian graph drawing

Delaunay graph drawing

Edge weight/multiplicity distribution

Temporal distribution

Temporal hop 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.