Wiktionary edits (mi)

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


Internal nameedit-miwiktionary
NameWiktionary edits (mi)
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 =2,262
Left size n1 =207
Right size n2 =2,055
Volume m =8,909
Unique edge count m̿ =5,029
Wedge count s =1,269,199
Claw count z =346,363,195
Cross count x =80,987,469,784
Square count q =875,409
4-Tour count T4 =12,090,566
Maximum degree dmax =3,190
Maximum left degree d1max =3,190
Maximum right degree d2max =120
Average degree d =7.877 10
Average left degree d1 =43.038 6
Average right degree d2 =4.335 28
Fill p =0.011 822 2
Average edge multiplicity m̃ =1.771 53
Size of LCC N =1,871
Diameter δ =15
50-Percentile effective diameter δ0.5 =3.326 72
90-Percentile effective diameter δ0.9 =5.894 71
Median distance δM =4
Mean distance δm =3.997 51
Gini coefficient G =0.710 245
Balanced inequality ratio P =0.235 436
Left balanced inequality ratio P1 =0.092 266 2
Right balanced inequality ratio P2 =0.320 126
Relative edge distribution entropy Her =0.768 012
Power law exponent γ =2.290 54
Tail power law exponent γt =1.731 00
Tail power law exponent with p γ3 =1.731 00
p-value p =0.126 000
Left tail power law exponent with p γ3,1 =1.631 00
Left p-value p1 =0.218 000
Right tail power law exponent with p γ3,2 =4.211 00
Right p-value p2 =0.015 000 0
Degree assortativity ρ =−0.090 078 1
Degree assortativity p-value pρ =1.560 35 × 10−10
Spectral norm α =152.889
Algebraic connectivity a =0.008 784 51
Spectral separation 1[A] / λ2[A]| =1.915 17
Controllability C =1,699
Relative controllability Cr =0.810 205


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.