Wiktionary edits (da)

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


Internal nameedit-dawiktionary
NameWiktionary edits (da)
Data sourcehttp://dumps.wikimedia.org/
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 =50,397
Left size n1 =805
Right size n2 =49,592
Volume m =276,040
Unique edge count m̿ =186,842
Wedge count s =1,133,085,739
Claw count z =8,608,892,296,990
Cross count x =61,503,414,691,291,104
Square count q =702,571,371
4-Tour count T4 =10,153,287,868
Maximum degree dmax =33,722
Maximum left degree d1max =33,722
Maximum right degree d2max =301
Average degree d =10.954 6
Average left degree d1 =342.907
Average right degree d2 =5.566 22
Fill p =0.004 680 23
Average edge multiplicity m̃ =1.477 40
Size of LCC N =49,839
Diameter δ =11
50-Percentile effective diameter δ0.5 =1.908 77
90-Percentile effective diameter δ0.9 =3.849 70
Median distance δM =2
Mean distance δm =2.941 11
Gini coefficient G =0.741 810
Balanced inequality ratio P =0.213 063
Left balanced inequality ratio P1 =0.047 873 5
Right balanced inequality ratio P2 =0.316 552
Relative edge distribution entropy Her =0.709 776
Power law exponent γ =1.925 36
Tail power law exponent γt =2.931 00
Tail power law exponent with p γ3 =2.931 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.551 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =3.031 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.214 606
Degree assortativity p-value pρ =0.000 00
Spectral norm α =470.753
Algebraic connectivity a =0.034 843 3
Spectral separation 1[A] / λ2[A]| =1.400 94
Controllability C =48,635
Relative controllability Cr =0.968 535


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. http://dumps.wikimedia.org/, January 2010.