Wikipedia dynamic (nl)

This network shows the evolution of hyperlinks between articles of the Dutch Wikipedia. The nodes represent articles. An edge indicates that a hyperlink was added or removed depending on the edge weight (−1 for removal or +1 for addition).


Internal namelink-dynamic-nlwiki
NameWikipedia dynamic (nl)
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Hyperlink network
Node meaningArticle
Edge meaningReference
Network formatUnipartite, directed
Edge typeDynamic
Temporal data Edges are annotated with timestamps
ReciprocalContains reciprocal edges
Directed cyclesContains directed cycles
LoopsContains loops


Size n =1,039,252
Volume m =20,070,561
Unique edge count m̿ =10,612,491
Loop count l =903
Wedge count s =21,187,791,948
Claw count z =165,987,909,016,829
Cross count x =2,149,013,466,337,388,800
Triangle count t =38,474,538
Square count q =9,487,566,269
Maximum degree dmax =108,306
Maximum outdegree d+max =30,455
Maximum indegree dmax =100,534
Average degree d =38.625 0
Fill p =9.901 82 × 10−6
Average edge multiplicity m̃ =1.891 22
Size of LCC N =1,038,209
Size of LSCC Ns =719,510
Relative size of LSCC Nrs =0.692 334
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.240 00
90-Percentile effective diameter δ0.9 =4.327 86
Mean distance δm =3.741 74
Gini coefficient G =0.708 110
Balanced inequality ratio P =0.234 067
Outdegree balanced inequality ratio P+ =0.255 756
Indegree balanced inequality ratio P =0.194 656
Relative edge distribution entropy Her =0.892 251
Power law exponent γ =1.529 90
Tail power law exponent γt =2.431 00
Degree assortativity ρ =−0.053 008 8
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.607 794
Clustering coefficient c =0.005 447 65
Spectral norm α =479.901
Operator 2-norm ν =368.130
Cyclic eigenvalue π =143.737
Spectral separation 1[A] / λ2[A]| =1.350 50
Reciprocity y =0.178 834
Non-bipartivity bA =0.259 531
Normalized non-bipartivity bN =0.018 706 0


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 normalized adjacency matrix

Hop distribution

In/outdegree scatter plot

Clustering coefficient distribution

Temporal distribution

Signed temporal distribution

Inter-event distribution

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] Julia Preusse, Jérôme Kunegis, Matthias Thimm, Thomas Gottron, and Steffen Staab. Structural dynamics of knowledge networks. In Proc. Int. Conf. on Weblogs and Soc. Media, 2013.