Wikibooks edits (es)

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


Internal nameedit-eswikibooks
NameWikibooks edits (es)
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 =40,141
Left size n1 =6,100
Right size n2 =34,041
Volume m =218,263
Unique edge count m̿ =76,534
Wedge count s =90,824,615
Claw count z =208,732,490,510
Cross count x =420,857,984,395,581
Square count q =35,709,314
4-Tour count T4 =649,130,496
Maximum degree dmax =26,870
Maximum left degree d1max =26,870
Maximum right degree d2max =3,256
Average degree d =10.874 8
Average left degree d1 =35.780 8
Average right degree d2 =6.411 77
Fill p =0.000 368 572
Average edge multiplicity m̃ =2.851 84
Size of LCC N =37,680
Diameter δ =28
50-Percentile effective diameter δ0.5 =3.884 38
90-Percentile effective diameter δ0.9 =5.747 13
Median distance δM =4
Mean distance δm =4.602 14
Gini coefficient G =0.789 487
Balanced inequality ratio P =0.177 660
Left balanced inequality ratio P1 =0.106 899
Right balanced inequality ratio P2 =0.248 833
Relative edge distribution entropy Her =0.794 048
Power law exponent γ =2.711 57
Tail power law exponent γt =2.371 00
Tail power law exponent with p γ3 =2.371 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.821 00
Left p-value p1 =0.831 000
Right tail power law exponent with p γ3,2 =3.001 00
Right p-value p2 =0.204 000
Degree assortativity ρ =−0.139 814
Degree assortativity p-value pρ =0.000 00
Spectral norm α =2,432.49
Algebraic connectivity a =0.007 328 69


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.