Wikivoyage edits (de)

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


Internal nameedit-dewikivoyage
NameWikivoyage edits (de)
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 =77,084
Left size n1 =10,265
Right size n2 =66,819
Volume m =874,884
Unique edge count m̿ =261,815
Wedge count s =1,460,803,232
Claw count z =11,132,763,882,507
Cross count x =74,735,372,665,187,264
Square count q =1,216,252,624
4-Tour count T4 =15,573,981,914
Maximum degree dmax =104,347
Maximum left degree d1max =104,347
Maximum right degree d2max =14,909
Average degree d =22.699 5
Average left degree d1 =85.229 8
Average right degree d2 =13.093 3
Fill p =0.000 381 712
Average edge multiplicity m̃ =3.341 61
Size of LCC N =76,632
Diameter δ =9
50-Percentile effective diameter δ0.5 =3.032 70
90-Percentile effective diameter δ0.9 =3.985 70
Median distance δM =4
Mean distance δm =3.294 19
Gini coefficient G =0.874 517
Balanced inequality ratio P =0.137 728
Left balanced inequality ratio P1 =0.057 255 6
Right balanced inequality ratio P2 =0.183 132
Relative edge distribution entropy Her =0.729 813
Power law exponent γ =2.338 27
Tail power law exponent γt =2.881 00
Tail power law exponent with p γ3 =2.881 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.891 00
Left p-value p1 =0.404 000
Right tail power law exponent with p γ3,2 =3.541 00
Right p-value p2 =0.142 000
Degree assortativity ρ =−0.280 230
Degree assortativity p-value pρ =0.000 00
Spectral norm α =4,243.37
Algebraic connectivity a =0.060 213 7


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

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.