Enron Email Network

A Enron dataset of 1,148,072 emails, collected by Network Repository. Each record contains email communication. Enron email network from the 1999-2002 period. Suitable for organizational communication, network analysis.

#Corporate email#Enron#Network repository#Organizational communication

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Analytics

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· graph.json

The full graph has 87,273 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

87.3K
Nodes
321.9K
Edges
4.23e-05
Density
1.3K
Components
-0.1321
Assortativity
14.1%
Reciprocity
56.7K
Bridges
Most central nodes
116490.01533
1260.00873
108080.00826
5580.00794
1420.00785
5440.0077
6410.00734
1510.0067
7860.00623
1430.00618

Computed over the full corpus.

Record

Catalog key
enron
Authors
Klimt, Bryan; Yang, Yiming
Year
2004
Source paper
The Enron Corpus: A New Dataset for Email Classification Research
DOI / arXiv
10.1007/978-3-540-30115-8_22
License
CC BY-SA 2.0 Germany (as stated by KONECT) (LicenseRef-CC-BY-SA-2.0-DE)
Records
1,148,072
Nodes
87,273
Edges
321,918 (directed)
Nodes are
user
Edges are
email communication
Attributes
nodes have no attributes; edges have no attributes
Languages
en
Collected
1999-2002 (1990s, 2000s)
Tasks
From the graph: link prediction, community detection

Provenance

Originally published at
https://networkrepository.com/enron.php link checked
Hosted copy
Mirrored on echo.directory on 2026-10-02, 24.7 MB across 3 files. Checksums in MANIFEST.json.

Citations

The Enron Corpus: A New Dataset for Email Classification Research
Bryan Klimt, Yi-Ming Yang
Journal Article · European Conference on Machine Learning · 2004

843
citations
well cited
69
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}
}

@inbook{Klimt_2004,
  title     = {The Enron Corpus: A New Dataset for Email Classification Research},
  isbn      = {9783540301158},
  issn      = {1611-3349},
  url       = {http://dx.doi.org/10.1007/978-3-540-30115-8_22},
  doi       = {10.1007/978-3-540-30115-8_22},
  booktitle = {Machine Learning: ECML 2004},
  publisher = {Springer Berlin Heidelberg},
  author    = {Klimt, Bryan and Yang, Yiming},
  year      = {2004},
  pages     = {217–226}
}

APA

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

Klimt, B., & Yang, Y. (2004). Enron Email Network [Data set]. https://doi.org/10.1007/978-3-540-30115-8_22

MLA

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

Klimt, Bryan, and Yiming Yang. Enron Email Network. 2004, doi.org/10.1007/978-3-540-30115-8_22.

BibTeX · RIS · CSL-JSON

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