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).
Metadata
Statistics
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  d_{max} =  108,306

Maximum outdegree  d^{+}_{max} =  30,455

Maximum indegree  d^{−}_{max} =  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  N_{s} =  719,510

Relative size of LSCC  N^{r}_{s} =  0.692 334

Diameter  δ =  13

50Percentile effective diameter  δ_{0.5} =  3.240 00

90Percentile effective diameter  δ_{0.9} =  4.327 86

Mean distance  δ_{m} =  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  H_{er} =  0.892 251

Power law exponent  γ =  1.529 90

Tail power law exponent  γ_{t} =  2.431 00

Degree assortativity  ρ =  −0.053 008 8

Degree assortativity pvalue  p_{ρ} =  0.000 00

In/outdegree correlation  ρ^{±} =  +0.607 794

Clustering coefficient  c =  0.005 447 65

Directed clustering coefficient  c^{±} =  0.029 318 3

Spectral norm  α =  479.901

Operator 2norm  ν =  368.130

Cyclic eigenvalue  π =  143.737

Spectral separation  λ_{1}[A] / λ_{2}[A] =  1.350 50

Reciprocity  y =  0.178 834

Nonbipartivity  b_{A} =  0.259 531

Normalized nonbipartivity  b_{N} =  0.018 706 0

Plots
Matrix decompositions plots
Downloads
References
[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.
