Wikiquote edits (ru)

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


Internal nameedit-ruwikisource
NameWikiquote edits (ru)
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 =609,903
Left size n1 =3,088
Right size n2 =606,815
Volume m =2,434,171
Unique edge count m̿ =1,078,960
Wedge count s =50,781,916,248
Cross count x =1.668 82 × 1020
Square count q =7,319,061,472
4-Tour count T4 =261,682,482,164
Maximum degree dmax =477,162
Maximum left degree d1max =477,162
Maximum right degree d2max =13,030
Average degree d =7.982 16
Average left degree d1 =788.268
Average right degree d2 =4.011 39
Fill p =0.000 575 800
Average edge multiplicity m̃ =2.256 03
Size of LCC N =607,855
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.406 26
90-Percentile effective diameter δ0.9 =3.959 29
Median distance δM =4
Mean distance δm =3.726 52
Gini coefficient G =0.740 434
Balanced inequality ratio P =0.221 880
Left balanced inequality ratio P1 =0.027 996 0
Right balanced inequality ratio P2 =0.319 987
Relative edge distribution entropy Her =0.669 304
Power law exponent γ =3.378 70
Tail power law exponent γt =1.521 00
Degree assortativity ρ =−0.061 828 3
Degree assortativity p-value pρ =0.000 00
Spectral norm α =4,477.39


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.