Wikipedia edits (tn)

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


Internal nameedit-tnwiki
NameWikipedia edits (tn)
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 =3,345
Left size n1 =706
Right size n2 =2,639
Volume m =15,071
Unique edge count m̿ =7,611
Wedge count s =522,409
Claw count z =43,364,372
Cross count x =3,815,476,183
Square count q =490,804
4-Tour count T4 =6,033,898
Maximum degree dmax =688
Maximum left degree d1max =688
Maximum right degree d2max =272
Average degree d =9.011 06
Average left degree d1 =21.347 0
Average right degree d2 =5.710 88
Fill p =0.004 085 05
Average edge multiplicity m̃ =1.980 16
Size of LCC N =2,700
Diameter δ =14
50-Percentile effective diameter δ0.5 =3.767 41
90-Percentile effective diameter δ0.9 =5.813 25
Median distance δM =4
Mean distance δm =4.497 91
Gini coefficient G =0.792 435
Balanced inequality ratio P =0.173 081
Left balanced inequality ratio P1 =0.132 440
Right balanced inequality ratio P2 =0.217 968
Relative edge distribution entropy Her =0.833 296
Power law exponent γ =2.561 12
Tail power law exponent γt =1.931 00
Tail power law exponent with p γ3 =1.931 00
p-value p =0.041 000 0
Left tail power law exponent with p γ3,1 =1.701 00
Left p-value p1 =0.021 000 0
Right tail power law exponent with p γ3,2 =2.011 00
Right p-value p2 =0.001 000 00
Degree assortativity ρ =−0.151 102
Degree assortativity p-value pρ =4.149 51 × 10−40
Spectral norm α =167.017
Algebraic connectivity a =0.026 929 2
Spectral separation 1[A] / λ2[A]| =1.290 07
Controllability C =1,984
Relative controllability Cr =0.600 484


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.