Wiktionary edits (sg)

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


Internal nameedit-sgwiktionary
NameWiktionary edits (sg)
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 =909
Left size n1 =163
Right size n2 =746
Volume m =3,094
Unique edge count m̿ =1,555
Wedge count s =64,563
Claw count z =2,728,856
Cross count x =104,488,505
Square count q =48,601
4-Tour count T4 =650,478
Maximum degree dmax =878
Maximum left degree d1max =878
Maximum right degree d2max =45
Average degree d =6.807 48
Average left degree d1 =18.981 6
Average right degree d2 =4.147 45
Fill p =0.012 788 0
Average edge multiplicity m̃ =1.989 71
Size of LCC N =612
Diameter δ =13
50-Percentile effective diameter δ0.5 =4.943 18
90-Percentile effective diameter δ0.9 =7.503 47
Median distance δM =5
Mean distance δm =4.965 46
Gini coefficient G =0.747 724
Balanced inequality ratio P =0.197 641
Left balanced inequality ratio P1 =0.125 404
Right balanced inequality ratio P2 =0.234 971
Relative edge distribution entropy Her =0.827 205
Power law exponent γ =2.908 24
Tail power law exponent γt =2.051 00
Tail power law exponent with p γ3 =2.051 00
p-value p =0.003 000 00
Left tail power law exponent with p γ3,1 =1.711 00
Left p-value p1 =0.557 000
Right tail power law exponent with p γ3,2 =2.191 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−7.547 11 × 10−5
Degree assortativity p-value pρ =0.997 627
Spectral norm α =114.064
Algebraic connectivity a =0.011 108 4
Spectral separation 1[A] / λ2[A]| =2.307 92
Controllability C =586
Relative controllability Cr =0.648 230


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.