Wiktionary edits (bg)

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


Internal nameedit-bgwiktionary
NameWiktionary edits (bg)
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 =865,095
Left size n1 =1,058
Right size n2 =864,037
Volume m =1,044,978
Unique edge count m̿ =958,197
Wedge count s =366,158,082,468
Claw count z =104,219,962,500,028,656
Cross count x =2.227 96 × 1022
Square count q =519,999,335
4-Tour count T4 =1,468,794,250,214
Maximum degree dmax =883,880
Maximum left degree d1max =883,880
Maximum right degree d2max =455
Average degree d =2.415 87
Average left degree d1 =987.692
Average right degree d2 =1.209 41
Fill p =0.001 048 18
Average edge multiplicity m̃ =1.090 57
Size of LCC N =863,962
Diameter δ =13
50-Percentile effective diameter δ0.5 =1.516 36
90-Percentile effective diameter δ0.9 =1.929 46
Median distance δM =2
Mean distance δm =2.085 79
Gini coefficient G =0.583 895
Balanced inequality ratio P =0.291 202
Left balanced inequality ratio P1 =0.014 317 0
Right balanced inequality ratio P2 =0.450 226
Relative edge distribution entropy Her =0.572 344
Power law exponent γ =18.799 6
Tail power law exponent γt =4.141 00
Tail power law exponent with p γ3 =4.141 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.731 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =4.161 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.675 087
Degree assortativity p-value pρ =0.000 00
Spectral norm α =976.577


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.