Wikipedia edits (lv)

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


Internal nameedit-lvwiki
NameWikipedia edits (lv)
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 =327,280
Left size n1 =11,758
Right size n2 =315,522
Volume m =2,499,933
Unique edge count m̿ =1,242,525
Wedge count s =13,806,961,746
Claw count z =183,289,402,412,780
Cross count x =2,241,292,645,972,322,048
Square count q =18,278,081,647
4-Tour count T4 =201,456,600,310
Maximum degree dmax =154,946
Maximum left degree d1max =154,946
Maximum right degree d2max =8,450
Average degree d =15.277 0
Average left degree d1 =212.615
Average right degree d2 =7.923 17
Fill p =0.000 334 921
Average edge multiplicity m̃ =2.011 98
Size of LCC N =325,191
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.404 81
90-Percentile effective diameter δ0.9 =3.943 51
Median distance δM =4
Mean distance δm =3.732 52
Gini coefficient G =0.867 715
Balanced inequality ratio P =0.136 861
Left balanced inequality ratio P1 =0.034 509 3
Right balanced inequality ratio P2 =0.184 753
Relative edge distribution entropy Her =0.711 391
Power law exponent γ =2.480 83
Tail power law exponent γt =1.891 00
Degree assortativity ρ =−0.260 832
Degree assortativity p-value pρ =0.000 00
Spectral norm α =3,886.01


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., January 2010.