Wikibooks edits (ca)

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


Internal nameedit-cawikibooks
NameWikibooks 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 =8,052
Left size n1 =1,008
Right size n2 =7,044
Volume m =49,287
Unique edge count m̿ =15,569
Wedge count s =6,517,999
Claw count z =4,349,929,509
Cross count x =2,662,915,707,267
Square count q =759,643
4-Tour count T4 =32,181,706
Maximum degree dmax =7,255
Maximum left degree d1max =7,255
Maximum right degree d2max =588
Average degree d =12.242 2
Average left degree d1 =48.895 8
Average right degree d2 =6.997 02
Fill p =0.002 192 71
Average edge multiplicity m̃ =3.165 71
Size of LCC N =7,766
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.416 46
90-Percentile effective diameter δ0.9 =4.876 81
Median distance δM =4
Mean distance δm =3.841 20
Gini coefficient G =0.799 567
Balanced inequality ratio P =0.177 298
Left balanced inequality ratio P1 =0.112 545
Right balanced inequality ratio P2 =0.243 411
Relative edge distribution entropy Her =0.790 742
Power law exponent γ =2.653 09
Tail power law exponent γt =2.761 00
Tail power law exponent with p γ3 =2.761 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.731 00
Left p-value p1 =0.626 000
Right tail power law exponent with p γ3,2 =3.571 00
Right p-value p2 =0.016 000 0
Degree assortativity ρ =−0.189 748
Degree assortativity p-value pρ =3.757 42 × 10−126
Spectral norm α =563.084
Spectral separation 1[A] / λ2[A]| =1.673 45
Controllability C =6,498
Relative controllability Cr =0.811 135


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.