Wikivoyage edits (sv)

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


Internal nameedit-svwikivoyage
NameWikivoyage edits (sv)
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 =11,151
Left size n1 =748
Right size n2 =10,403
Volume m =65,410
Unique edge count m̿ =27,511
Wedge count s =21,383,567
Claw count z =21,614,599,387
Cross count x =21,088,263,378,154
Square count q =17,051,705
4-Tour count T4 =222,064,018
Maximum degree dmax =15,402
Maximum left degree d1max =15,402
Maximum right degree d2max =2,479
Average degree d =11.731 7
Average left degree d1 =87.446 5
Average right degree d2 =6.287 61
Fill p =0.003 535 46
Average edge multiplicity m̃ =2.377 59
Size of LCC N =10,922
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.281 89
90-Percentile effective diameter δ0.9 =3.938 34
Median distance δM =4
Mean distance δm =3.495 81
Gini coefficient G =0.847 715
Balanced inequality ratio P =0.138 993
Left balanced inequality ratio P1 =0.066 809 4
Right balanced inequality ratio P2 =0.199 159
Relative edge distribution entropy Her =0.733 330
Power law exponent γ =2.991 89
Tail power law exponent γt =2.081 00
Tail power law exponent with p γ3 =2.081 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.731 00
Left p-value p1 =0.004 000 00
Right tail power law exponent with p γ3,2 =2.121 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.332 302
Degree assortativity p-value pρ =0.000 00
Spectral norm α =2,479.00
Algebraic connectivity a =0.042 021 6
Spectral separation 1[A] / λ2[A]| =3.198 18
Controllability C =9,884
Relative controllability Cr =0.888 849


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.