Wikivoyage edits (it)

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


Internal nameedit-itwikivoyage
NameWikivoyage 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 =31,501
Left size n1 =2,538
Right size n2 =28,963
Volume m =419,474
Unique edge count m̿ =80,998
Wedge count s =233,719,503
Claw count z =947,377,766,551
Cross count x =3,370,127,980,678,628
Square count q =121,744,148
4-Tour count T4 =1,909,097,784
Maximum degree dmax =105,298
Maximum left degree d1max =105,298
Maximum right degree d2max =4,645
Average degree d =26.632 4
Average left degree d1 =165.277
Average right degree d2 =14.483 1
Fill p =0.001 101 89
Average edge multiplicity m̃ =5.178 82
Size of LCC N =30,898
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.067 63
90-Percentile effective diameter δ0.9 =3.960 59
Median distance δM =4
Mean distance δm =3.300 61
Gini coefficient G =0.901 896
Balanced inequality ratio P =0.112 204
Left balanced inequality ratio P1 =0.042 612 9
Right balanced inequality ratio P2 =0.146 944
Relative edge distribution entropy Her =0.718 827
Power law exponent γ =2.767 12
Tail power law exponent γt =2.001 00
Tail power law exponent with p γ3 =2.001 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.831 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =4.991 00
Right p-value p2 =0.060 000 0
Degree assortativity ρ =−0.254 768
Degree assortativity p-value pρ =0.000 00
Spectral norm α =3,468.77
Algebraic connectivity a =0.011 697 0
Spectral separation 1[A] / λ2[A]| =1.467 30
Controllability C =27,715
Relative controllability Cr =0.888 501


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.