Wikiquote edits (th)

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


Internal nameedit-thwikisource
NameWikiquote edits (th)
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 =25,654
Left size n1 =570
Right size n2 =25,084
Volume m =61,174
Unique edge count m̿ =37,811
Wedge count s =52,433,818
Claw count z =84,386,928,678
Cross count x =124,910,147,965,875
Square count q =8,509,707
4-Tour count T4 =277,893,242
Maximum degree dmax =9,844
Maximum left degree d1max =9,844
Maximum right degree d2max =159
Average degree d =4.769 16
Average left degree d1 =107.323
Average right degree d2 =2.438 77
Fill p =0.002 644 52
Average edge multiplicity m̃ =1.617 89
Size of LCC N =24,570
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.905 56
90-Percentile effective diameter δ0.9 =5.861 53
Median distance δM =4
Mean distance δm =4.697 07
Gini coefficient G =0.708 730
Balanced inequality ratio P =0.229 191
Left balanced inequality ratio P1 =0.069 424 9
Right balanced inequality ratio P2 =0.345 948
Relative edge distribution entropy Her =0.727 169
Power law exponent γ =3.843 62
Tail power law exponent γt =3.741 00
Tail power law exponent with p γ3 =3.741 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.611 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =4.011 00
Right p-value p2 =0.399 000
Degree assortativity ρ =−0.048 053 8
Degree assortativity p-value pρ =8.833 12 × 10−21
Spectral norm α =423.480
Algebraic connectivity a =0.009 359 90
Spectral separation 1[A] / λ2[A]| =2.185 68
Controllability C =23,886
Relative controllability Cr =0.956 818


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

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.