Wikibooks edits (it)

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


Internal nameedit-itwikibooks
NameWikibooks edits (it)
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 =30,047
Left size n1 =4,294
Right size n2 =25,753
Volume m =238,977
Unique edge count m̿ =70,613
Wedge count s =70,258,576
Claw count z =83,991,697,904
Cross count x =81,611,005,882,726
Square count q =17,380,953
4-Tour count T4 =420,258,662
Maximum degree dmax =35,132
Maximum left degree d1max =35,132
Maximum right degree d2max =26,828
Average degree d =15.906 9
Average left degree d1 =55.653 7
Average right degree d2 =9.279 58
Fill p =0.000 638 550
Average edge multiplicity m̃ =3.384 32
Size of LCC N =29,398
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.523 83
90-Percentile effective diameter δ0.9 =4.970 35
Median distance δM =4
Mean distance δm =4.007 82
Gini coefficient G =0.832 728
Balanced inequality ratio P =0.160 369
Left balanced inequality ratio P1 =0.088 535 7
Right balanced inequality ratio P2 =0.217 444
Relative edge distribution entropy Her =0.783 092
Power law exponent γ =2.412 35
Tail power law exponent γt =2.541 00
Tail power law exponent with p γ3 =2.541 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.791 00
Left p-value p1 =0.131 000
Right tail power law exponent with p γ3,2 =3.251 00
Right p-value p2 =0.943 000
Degree assortativity ρ =−0.218 349
Degree assortativity p-value pρ =0.000 00
Spectral norm α =26,549.8
Algebraic connectivity a =0.047 900 9


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

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.