Wikibooks edits (he)

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


Internal nameedit-hewikibooks
NameWikibooks edits (he)
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 =18,548
Left size n1 =1,802
Right size n2 =16,746
Volume m =100,052
Unique edge count m̿ =36,655
Wedge count s =35,568,265
Claw count z =61,856,315,274
Cross count x =100,413,850,677,564
Square count q =3,015,983
4-Tour count T4 =166,496,766
Maximum degree dmax =17,205
Maximum left degree d1max =17,205
Maximum right degree d2max =1,499
Average degree d =10.788 4
Average left degree d1 =55.522 8
Average right degree d2 =5.974 68
Fill p =0.001 214 70
Average edge multiplicity m̃ =2.729 56
Size of LCC N =17,893
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.318 48
90-Percentile effective diameter δ0.9 =3.993 38
Median distance δM =4
Mean distance δm =3.594 14
Gini coefficient G =0.794 040
Balanced inequality ratio P =0.181 745
Left balanced inequality ratio P1 =0.087 214 6
Right balanced inequality ratio P2 =0.258 865
Relative edge distribution entropy Her =0.774 342
Power law exponent γ =2.682 43
Tail power law exponent γt =2.751 00
Tail power law exponent with p γ3 =2.751 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.761 00
Left p-value p1 =0.690 000
Right tail power law exponent with p γ3,2 =3.401 00
Right p-value p2 =0.246 000
Degree assortativity ρ =−0.155 873
Degree assortativity p-value pρ =4.583 25 × 10−198
Spectral norm α =542.005
Algebraic connectivity a =0.028 913 5
Spectral separation 1[A] / λ2[A]| =1.181 81
Controllability C =15,091
Relative controllability Cr =0.828 766


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

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.