WordNet
This is the lexical network of words from the WordNet dataset. Nodes in the
network are English words, and links are relationships between them, such as
synonymy, antonymy, meronymy, etc. All relationships present in the WordNet
dataset are included. The resulting network is undirected.
Metadata
Statistics
Size  n =  146,005

Volume  m =  656,999

Loop count  l =  0

Wedge count  s =  35,863,116

Claw count  z =  4,063,487,782

Cross count  x =  624,320,669,873

Triangle count  t =  1,144,910

Square count  q =  32,926,054

4Tour count  T_{4} =  408,174,894

Maximum degree  d_{max} =  1,008

Average degree  d =  8.999 68

Fill  p =  6.163 99 × 10^{−5}

Size of LCC  N =  145,145

Diameter  δ =  16

50Percentile effective diameter  δ_{0.5} =  4.813 85

90Percentile effective diameter  δ_{0.9} =  6.318 86

Median distance  δ_{M} =  5

Mean distance  δ_{m} =  5.362 01

Gini coefficient  G =  0.551 182

Balanced inequality ratio  P =  0.295 863

Relative edge distribution entropy  H_{er} =  0.940 450

Power law exponent  γ =  1.603 75

Tail power law exponent  γ_{t} =  2.471 00

Tail power law exponent with p  γ_{3} =  2.471 00

pvalue  p =  0.000 00

Degree assortativity  ρ =  −0.062 324 8

Degree assortativity pvalue  p_{ρ} =  0.000 00

Clustering coefficient  c =  0.095 773 3

Spectral norm  α =  69.934 4

Algebraic connectivity  a =  0.022 464 9

Spectral separation  λ_{1}[A] / λ_{2}[A] =  1.026 21

Nonbipartivity  b_{A} =  0.114 963

Normalized nonbipartivity  b_{N} =  0.046 198 2

Spectral bipartite frustration  b_{K} =  0.002 198 04

Controllability  C =  15,518

Relative controllability  C_{r} =  0.107 383

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]

Christiane Fellbaum, editor.
WordNet: an Electronic Lexical Database.
MIT Press, 1998.
