Adjective-Noun Co-occurrence Network

A David Copperfield novel (word adjacency network) dataset of 112 nodes and 425 edges, collected by M.E.J. Newman. Each record contains directed: False, weighted: False, signed: False. Word adjacency network of adjectives and nouns in David Copperfield — classic linguistic network benchmark.. Suitable for linguistic network analysis, community detection benchmark.

#David copperfield#Linguistic network#Word adjacency

Download data BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

Node size is centrality, colour is community. Hover a node for details; click one to isolate its community.

112
Nodes
425
Edges
6.84e-02
Density
1
Components
-0.1293
Assortativity
0.0%
Reciprocity
10
Bridges
Most central nodes
180.4414
30.2973
440.2522
520.2522
1050.1892
90.1532
250.1351
280.1351
510.1351
10.1261

Computed over the full corpus.

Record

Catalog key
adjnoun
Authors
Newman, M. E. J.
Year
2006
Source paper
Finding community structure in networks using the eigenvectors of matrices
DOI / arXiv
10.1103/PhysRevE.74.036104
License
CC BY-SA 2.0 Germany (as stated by KONECT) (LicenseRef-CC-BY-SA-2.0-DE)
Records
112
Nodes
112
Edges
425
Nodes are
word
Edges are
co-occurrence
Attributes
nodes have attributes; edges have no attributes
Languages
en
Collected
2006 (2000s)
Tasks
From the graph: link prediction, community detection

Provenance

Originally published at
https://konect.cc/networks/adjnoun_adjacency/ unverified
Hosted copy
Mirrored on echo.directory on 2026-10-02, 2.9 KB across 1 files. Checksums in MANIFEST.json.

Citations

Finding community structure in networks using the eigenvectors of matrices.
M. Newman
Journal Article · Physical review. E, Statistical, nonlinear, and soft matter physics · 2006

4.8K
citations
highly cited
387
influential citations
8% of all citations

Cited by

Show all 10

Citation data from Semantic Scholar, retrieved 2026-10-19.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@article{Newman_2006,
  title     = {Finding community structure in networks using the eigenvectors of matrices},
  volume    = {74},
  issn      = {1550-2376},
  url       = {http://dx.doi.org/10.1103/PhysRevE.74.036104},
  doi       = {10.1103/physreve.74.036104},
  number    = {3},
  journal   = {Physical Review E},
  publisher = {American Physical Society (APS)},
  author    = {Newman, M. E. J.},
  year      = {2006},
  month     = Sept
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Newman, M. E. J. (2006). Adjective-Noun Co-occurrence Network [Data set]. https://doi.org/10.1103/PhysRevE.74.036104

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Newman, M. E. J. Adjective-Noun Co-occurrence Network. 2006, doi.org/10.1103/PhysRevE.74.036104.

BibTeX · RIS · CSL-JSON

Similar datasets 9 all with scores →