Wikiquote edits (pl)

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


Internal nameedit-plwikiquote
NameWikiquote edits (pl)
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 =54,021
Left size n1 =4,312
Right size n2 =49,709
Volume m =378,978
Unique edge count m̿ =164,199
Wedge count s =815,817,570
Claw count z =6,918,389,141,352
Cross count x =54,296,739,091,790,632
Square count q =273,088,059
4-Tour count T4 =5,448,690,418
Maximum degree dmax =128,307
Maximum left degree d1max =128,307
Maximum right degree d2max =1,881
Average degree d =14.030 8
Average left degree d1 =87.889 1
Average right degree d2 =7.623 93
Fill p =0.000 766 049
Average edge multiplicity m̃ =2.308 04
Size of LCC N =53,383
Diameter δ =11
50-Percentile effective diameter δ0.5 =2.453 77
90-Percentile effective diameter δ0.9 =3.798 69
Median distance δM =3
Mean distance δm =3.015 70
Gini coefficient G =0.819 982
Balanced inequality ratio P =0.174 311
Left balanced inequality ratio P1 =0.054 705 0
Right balanced inequality ratio P2 =0.247 196
Relative edge distribution entropy Her =0.728 088
Power law exponent γ =2.322 22
Tail power law exponent γt =2.621 00
Tail power law exponent with p γ3 =2.621 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.781 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =4.211 00
Right p-value p2 =0.966 000
Degree assortativity ρ =−0.275 894
Degree assortativity p-value pρ =0.000 00
Spectral norm α =2,152.69
Algebraic connectivity a =0.046 943 3


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.