Wiktionary edits (qu)

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


Internal nameedit-quwiktionary
NameWiktionary edits (qu)
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 =1,689
Left size n1 =194
Right size n2 =1,495
Volume m =6,491
Unique edge count m̿ =3,686
Wedge count s =391,396
Claw count z =40,526,033
Cross count x =3,770,614,368
Square count q =314,130
4-Tour count T4 =4,086,320
Maximum degree dmax =918
Maximum left degree d1max =918
Maximum right degree d2max =74
Average degree d =7.686 20
Average left degree d1 =33.458 8
Average right degree d2 =4.341 81
Fill p =0.012 709 0
Average edge multiplicity m̃ =1.760 99
Size of LCC N =1,443
Diameter δ =14
50-Percentile effective diameter δ0.5 =3.758 69
90-Percentile effective diameter δ0.9 =7.689 57
Median distance δM =4
Mean distance δm =4.858 03
Gini coefficient G =0.771 466
Balanced inequality ratio P =0.186 258
Left balanced inequality ratio P1 =0.106 763
Right balanced inequality ratio P2 =0.253 428
Relative edge distribution entropy Her =0.787 337
Power law exponent γ =2.667 64
Tail power law exponent γt =1.971 00
Tail power law exponent with p γ3 =1.971 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.661 00
Left p-value p1 =0.014 000 0
Right tail power law exponent with p γ3,2 =2.031 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.114 878
Degree assortativity p-value pρ =2.646 54 × 10−12
Spectral norm α =107.211
Algebraic connectivity a =0.007 272 33
Spectral separation 1[A] / λ2[A]| =1.270 36
Controllability C =1,310
Relative controllability Cr =0.780 691


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.