Wiktionary edits (tn)

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


Internal nameedit-tnwiktionary
NameWiktionary edits (tn)
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 =882
Left size n1 =160
Right size n2 =722
Volume m =2,716
Unique edge count m̿ =1,330
Wedge count s =46,056
Claw count z =1,879,536
Cross count x =71,419,969
Square count q =20,583
4-Tour count T4 =351,900
Maximum degree dmax =848
Maximum left degree d1max =848
Maximum right degree d2max =46
Average degree d =6.158 73
Average left degree d1 =16.975 0
Average right degree d2 =3.761 77
Fill p =0.011 513 2
Average edge multiplicity m̃ =2.042 11
Size of LCC N =665
Diameter δ =15
50-Percentile effective diameter δ0.5 =3.980 52
90-Percentile effective diameter δ0.9 =7.383 01
Median distance δM =4
Mean distance δm =4.880 47
Gini coefficient G =0.743 058
Balanced inequality ratio P =0.193 483
Left balanced inequality ratio P1 =0.142 489
Right balanced inequality ratio P2 =0.239 691
Relative edge distribution entropy Her =0.839 079
Power law exponent γ =3.122 06
Tail power law exponent γt =2.131 00
Tail power law exponent with p γ3 =2.131 00
p-value p =0.162 000
Left tail power law exponent with p γ3,1 =1.711 00
Left p-value p1 =0.447 000
Right tail power law exponent with p γ3,2 =2.311 00
Right p-value p2 =0.038 000 0
Degree assortativity ρ =−0.146 952
Degree assortativity p-value pρ =7.308 49 × 10−8
Spectral norm α =108.595
Algebraic connectivity a =0.015 751 3
Spectral separation 1[A] / λ2[A]| =2.711 67
Controllability C =555
Relative controllability Cr =0.638 665


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.