Wikipedia edits (vi)

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


Internal nameedit-viwiki
NameWikipedia 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 =3,585,652
Left size n1 =72,931
Right size n2 =3,512,721
Volume m =25,286,492
Unique edge count m̿ =13,652,888
Wedge count s =6,664,278,837,076
Claw count z =3,795,205,544,172,848,640
Cross count x =1.794 75 × 1024
Maximum degree dmax =5,902,991
Maximum left degree d1max =5,902,991
Maximum right degree d2max =32,169
Average degree d =14.104 3
Average left degree d1 =346.718
Average right degree d2 =7.198 55
Fill p =5.329 28 × 10−5
Average edge multiplicity m̃ =1.852 10
Size of LCC N =3,555,676
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.012 57
90-Percentile effective diameter δ0.9 =3.823 05
Median distance δM =4
Mean distance δm =3.048 50
Gini coefficient G =0.793 147
Balanced inequality ratio P =0.191 785
Left balanced inequality ratio P1 =0.018 928 4
Right balanced inequality ratio P2 =0.267 622
Relative edge distribution entropy Her =0.658 974
Power law exponent γ =2.017 17
Degree assortativity ρ =−0.051 640 4
Degree assortativity p-value pρ =0.000 00
Spectral norm α =6,565.16
Controllability C =3,469,892
Relative controllability Cr =0.972 273


Fruchterman–Reingold graph drawing

Degree distribution

Cumulative degree distribution

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

Zipf plot

Hop distribution

Temporal distribution



[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.