Wikiquote edits (ca)

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


Internal nameedit-cawikiquote
NameWikiquote edits (ca)
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 =10,263
Left size n1 =884
Right size n2 =9,379
Volume m =84,728
Unique edge count m̿ =29,436
Wedge count s =26,099,511
Claw count z =32,257,731,040
Cross count x =37,714,388,495,034
Square count q =11,793,011
4-Tour count T4 =198,846,752
Maximum degree dmax =32,381
Maximum left degree d1max =32,381
Maximum right degree d2max =1,185
Average degree d =16.511 4
Average left degree d1 =95.846 2
Average right degree d2 =9.033 80
Fill p =0.003 550 34
Average edge multiplicity m̃ =2.878 38
Size of LCC N =10,103
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.034 77
90-Percentile effective diameter δ0.9 =3.995 46
Median distance δM =4
Mean distance δm =3.266 53
Gini coefficient G =0.815 637
Balanced inequality ratio P =0.179 828
Left balanced inequality ratio P1 =0.067 049 9
Right balanced inequality ratio P2 =0.243 001
Relative edge distribution entropy Her =0.754 641
Power law exponent γ =2.285 16
Tail power law exponent γt =2.511 00
Tail power law exponent with p γ3 =2.511 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.651 00
Left p-value p1 =0.571 000
Right tail power law exponent with p γ3,2 =4.711 00
Right p-value p2 =0.420 000
Degree assortativity ρ =−0.298 145
Degree assortativity p-value pρ =0.000 00
Spectral norm α =853.304
Algebraic connectivity a =0.079 157 9
Controllability C =8,814
Relative controllability Cr =0.859 567


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

Double Laplacian graph drawing

Delaunay graph drawing

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.