Wikibooks edits (vi)

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


Internal nameedit-viwikibooks
NameWikibooks edits (vi)
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 =9,144
Left size n1 =1,325
Right size n2 =7,819
Volume m =32,618
Unique edge count m̿ =13,242
Wedge count s =8,188,559
Claw count z =7,943,142,061
Cross count x =6,654,471,419,800
Square count q =608,367
4-Tour count T4 =37,667,608
Maximum degree dmax =7,606
Maximum left degree d1max =7,606
Maximum right degree d2max =437
Average degree d =7.134 30
Average left degree d1 =24.617 4
Average right degree d2 =4.171 63
Fill p =0.001 278 16
Average edge multiplicity m̃ =2.463 22
Size of LCC N =7,938
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.339 33
90-Percentile effective diameter δ0.9 =4.853 92
Median distance δM =4
Mean distance δm =3.738 31
Gini coefficient G =0.788 543
Balanced inequality ratio P =0.180 361
Left balanced inequality ratio P1 =0.102 551
Right balanced inequality ratio P2 =0.248 697
Relative edge distribution entropy Her =0.769 624
Power law exponent γ =3.583 55
Tail power law exponent γt =2.221 00
Tail power law exponent with p γ3 =2.221 00
p-value p =0.557 000
Left tail power law exponent with p γ3,1 =1.931 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =2.411 00
Right p-value p2 =0.008 000 00
Degree assortativity ρ =−0.327 018
Degree assortativity p-value pρ =0.000 00
Spectral norm α =479.752
Algebraic connectivity a =0.052 069 7
Controllability C =6,946
Relative controllability Cr =0.823 571


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.