Netzschleuder network catalogue, repository and centrifuge

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You may also take a look at the source code.

The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["wordnet"]

wordnet — WordNet relationships

Description

A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.¹

Description obtained from the ICON project. ↩

Tags

Informational Language Unweighted

Citation

C. Fellbaum. "WordNet." Theory and Applications of Ontology: Computer Applications. Springer, 231-243 (2010), https://doi.org/10.1007/978-90-481-8847-5_10 [@sci-hub]

Upstream URL OK

http://konect.cc/networks/wordnet-words

Networks

Tip: hover your mouse over a table header to obtain a legend.

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
wordnet	146,005	656,999	9.00	20.48	65.16	224.54	-0.06	0.10	16	0.99	Undirected	Unipartite			3.0 MiB	4.9 MiB	4.8 MiB	3.9 MiB

Ridiculograms^*

^* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.