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

CodeWO
Internal namewordnet-words
NameWordNet
Data sourcehttp://wordnet.princeton.edu/
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Lexical network
Node meaningWord
Edge meaningRelationship
Network formatUnipartite, undirected
Edge typeUnweighted, no multiple edges
LoopsDoes not contain loops

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
4-Tour count T4 =408,174,894
Maximum degree dmax =1,008
Average degree d =8.999 68
Fill p =6.163 99 × 10−5
Size of LCC N =145,145
Diameter δ =16
50-Percentile effective diameter δ0.5 =4.813 85
90-Percentile effective diameter δ0.9 =6.318 86
Median distance δM =5
Mean distance δm =5.362 01
Gini coefficient G =0.551 182
Balanced inequality ratio P =0.295 863
Relative edge distribution entropy Her =0.940 450
Power law exponent γ =1.603 75
Tail power law exponent γt =2.471 00
Tail power law exponent with p γ3 =2.471 00
p-value p =0.000 00
Degree assortativity ρ =−0.062 324 8
Degree assortativity p-value pρ =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 |λ1[A] / λ2[A]| =1.028 53
Non-bipartivity bA =0.114 963
Normalized non-bipartivity bN =0.046 198 2
Algebraic non-bipartivity χ =0.079 502 3
Spectral bipartite frustration bK =0.002 198 04
Controllability C =15,096
Relative controllability Cr =0.103 394

Plots

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

Clustering coefficient distribution

Average neighbor degree distribution

SynGraphy

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.