Wikipedia edits (bug)

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


Internal nameedit-bugwiki
NameWikipedia edits (bug)
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 =19,261
Left size n1 =746
Right size n2 =18,515
Volume m =184,412
Unique edge count m̿ =125,106
Wedge count s =395,448,362
Claw count z =1,211,587,949,425
Cross count x =3,240,312,031,028,652
Square count q =711,164,526
4-Tour count T4 =7,271,382,544
Maximum degree dmax =43,459
Maximum left degree d1max =43,459
Maximum right degree d2max =304
Average degree d =19.148 7
Average left degree d1 =247.201
Average right degree d2 =9.960 14
Fill p =0.009 057 65
Average edge multiplicity m̃ =1.474 05
Size of LCC N =18,524
Diameter δ =15
50-Percentile effective diameter δ0.5 =1.730 11
90-Percentile effective diameter δ0.9 =3.746 45
Median distance δM =2
Mean distance δm =2.679 58
Gini coefficient G =0.684 155
Balanced inequality ratio P =0.262 014
Left balanced inequality ratio P1 =0.046 293 1
Right balanced inequality ratio P2 =0.367 059
Relative edge distribution entropy Her =0.733 442
Power law exponent γ =1.620 27
Tail power law exponent γt =1.511 00
Degree assortativity ρ =−0.132 132
Degree assortativity p-value pρ =0.000 00
Spectral norm α =529.071
Algebraic connectivity a =0.004 209 22


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

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.