Wikibooks edits (fy)

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


Internal nameedit-fywikibooks
NameWikibooks edits (fy)
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 =739
Left size n1 =147
Right size n2 =592
Volume m =1,173
Unique edge count m̿ =722
Wedge count s =24,660
Claw count z =1,213,605
Cross count x =50,270,189
Square count q =405
4-Tour count T4 =103,808
Maximum degree dmax =204
Maximum left degree d1max =204
Maximum right degree d2max =138
Average degree d =3.174 56
Average left degree d1 =7.979 59
Average right degree d2 =1.981 42
Fill p =0.008 296 56
Average edge multiplicity m̃ =1.624 65
Size of LCC N =486
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.622 76
90-Percentile effective diameter δ0.9 =5.891 68
Median distance δM =4
Mean distance δm =4.280 92
Gini coefficient G =0.663 918
Relative edge distribution entropy Her =0.848 108
Power law exponent γ =5.059 68
Tail power law exponent γt =2.631 00
Degree assortativity ρ =−0.164 504
Degree assortativity p-value pρ =8.876 26 × 10−6
Spectral norm α =90.508 0
Algebraic connectivity a =0.013 337 9


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.