Wiktionary edits (sn)

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


Internal nameedit-snwiktionary
NameWiktionary edits (sn)
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 =270
Left size n1 =37
Right size n2 =233
Volume m =295
Unique edge count m̿ =271
Wedge count s =6,255
Claw count z =146,005
Cross count x =2,651,049
Square count q =124
4-Tour count T4 =26,862
Maximum degree dmax =78
Maximum left degree d1max =78
Maximum right degree d2max =13
Average degree d =2.185 19
Average left degree d1 =7.972 97
Average right degree d2 =1.266 09
Fill p =0.031 434 9
Average edge multiplicity m̃ =1.088 56
Size of LCC N =78
Diameter δ =2
50-Percentile effective diameter δ0.5 =1.481 26
90-Percentile effective diameter δ0.9 =1.896 25
Median distance δM =2
Mean distance δm =1.952 09
Gini coefficient G =0.548 992
Balanced inequality ratio P =0.281 356
Left balanced inequality ratio P1 =0.196 610
Right balanced inequality ratio P2 =0.433 898
Relative edge distribution entropy Her =0.817 383
Power law exponent γ =5.547 10
Tail power law exponent γt =2.731 00
Tail power law exponent with p γ3 =2.731 00
p-value p =0.075 000 0
Left tail power law exponent with p γ3,1 =1.941 00
Left p-value p1 =0.637 000
Right tail power law exponent with p γ3,2 =3.531 00
Right p-value p2 =0.026 000 0
Degree assortativity ρ =−0.384 464
Degree assortativity p-value pρ =5.623 37 × 10−11
Spectral norm α =9.131 94
Spectral separation 1[A] / λ2[A]| =1.033 99
Controllability C =200
Relative controllability Cr =0.746 269


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 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.