Wiktionary edits (th)

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


Internal nameedit-thwiktionary
NameWiktionary edits (th)
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 =163,993
Left size n1 =589
Right size n2 =163,404
Volume m =887,207
Unique edge count m̿ =310,396
Wedge count s =11,452,353,841
Claw count z =479,935,914,500,272
Cross count x =1.648 12 × 1019
Square count q =1,330,643,893
4-Tour count T4 =56,455,189,436
Maximum degree dmax =588,581
Maximum left degree d1max =588,581
Maximum right degree d2max =465
Average degree d =10.820 1
Average left degree d1 =1,506.29
Average right degree d2 =5.429 53
Fill p =0.003 225 06
Average edge multiplicity m̃ =2.858 31
Size of LCC N =163,672
Diameter δ =12
50-Percentile effective diameter δ0.5 =1.593 14
90-Percentile effective diameter δ0.9 =3.393 30
Median distance δM =2
Mean distance δm =2.366 19
Gini coefficient G =0.669 908
Balanced inequality ratio P =0.264 848
Left balanced inequality ratio P1 =0.026 487 6
Right balanced inequality ratio P2 =0.385 328
Relative edge distribution entropy Her =0.638 208
Power law exponent γ =3.484 44
Tail power law exponent γt =2.841 00
Tail power law exponent with p γ3 =2.841 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.571 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =8.991 00
Right p-value p2 =0.016 000 0
Degree assortativity ρ =−0.524 964
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,737.11
Algebraic connectivity a =0.009 252 02


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

Edge weight/multiplicity distribution

Temporal 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.