Wiktionary edits (eu)

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


Internal nameedit-euwiktionary
NameWiktionary edits (eu)
Data sourcehttp://dumps.wikimedia.org/
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 =62,637
Left size n1 =415
Right size n2 =62,222
Volume m =396,614
Unique edge count m̿ =254,652
Wedge count s =3,398,854,234
Claw count z =39,916,326,085,948
Cross count x =394,331,612,010,999,296
Square count q =3,410,109,212
4-Tour count T4 =40,876,800,420
Maximum degree dmax =86,945
Maximum left degree d1max =86,945
Maximum right degree d2max =294
Average degree d =12.663 9
Average left degree d1 =955.696
Average right degree d2 =6.374 18
Fill p =0.009 861 77
Average edge multiplicity m̃ =1.557 47
Size of LCC N =62,409
Diameter δ =12
50-Percentile effective diameter δ0.5 =1.688 94
90-Percentile effective diameter δ0.9 =3.701 57
Median distance δM =2
Mean distance δm =2.599 22
Gini coefficient G =0.687 469
Balanced inequality ratio P =0.251 331
Left balanced inequality ratio P1 =0.023 614 9
Right balanced inequality ratio P2 =0.364 828
Relative edge distribution entropy Her =0.673 132
Power law exponent γ =1.811 42
Tail power law exponent γt =5.381 00
Tail power law exponent with p γ3 =5.381 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.551 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =8.791 00
Right p-value p2 =0.132 000
Degree assortativity ρ =−0.159 047
Degree assortativity p-value pρ =0.000 00
Spectral norm α =724.329
Algebraic connectivity a =0.020 668 8
Spectral separation 1[A] / λ2[A]| =2.006 93
Controllability C =61,805
Relative controllability Cr =0.987 158


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. http://dumps.wikimedia.org/, January 2010.