Wikiquote edits (en)

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


Internal nameedit-enwikiquote
NameWikiquote edits (en)
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 =186,686
Left size n1 =35,962
Right size n2 =150,724
Volume m =1,271,653
Unique edge count m̿ =482,024
Wedge count s =2,171,858,958
Claw count z =13,483,634,713,119
Cross count x =70,752,413,484,809,184
Square count q =940,627,482
4-Tour count T4 =16,213,772,192
Maximum degree dmax =125,310
Maximum left degree d1max =125,310
Maximum right degree d2max =10,169
Average degree d =13.623 4
Average left degree d1 =35.361 0
Average right degree d2 =8.436 96
Fill p =8.892 88 × 10−5
Average edge multiplicity m̃ =2.638 15
Size of LCC N =179,403
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.403 16
90-Percentile effective diameter δ0.9 =4.379 51
Median distance δM =4
Mean distance δm =3.803 27
Gini coefficient G =0.860 083
Balanced inequality ratio P =0.140 007
Left balanced inequality ratio P1 =0.081 596 9
Right balanced inequality ratio P2 =0.181 053
Relative edge distribution entropy Her =0.759 277
Power law exponent γ =2.668 43
Tail power law exponent γt =2.471 00
Tail power law exponent with p γ3 =2.471 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =2.031 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =3.051 00
Right p-value p2 =0.002 000 00
Degree assortativity ρ =−0.233 375
Degree assortativity p-value pρ =0.000 00
Spectral norm α =5,268.11
Algebraic connectivity a =0.056 802 1
Spectral separation 1[A] / λ2[A]| =1.084 48
Controllability C =142,784
Relative controllability Cr =0.773 591


Fruchterman–Reingold graph drawing

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

Delaunay graph drawing

Edge weight/multiplicity distribution

Temporal distribution

Temporal hop distribution

Diameter/density evolution

Inter-event distribution

Node-level inter-event distribution

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.