Arenas Email Communication Network

A University Rovira i Virgili (email communication network) dataset of 1,133 nodes and 5,451 edges, collected by R. Guimerà et al.. Each record contains directed: False, weighted: False, signed: False. Email communication network of a university — classic benchmark for community detection algorithms.. Suitable for community detection, email network analysis, graph algorithm benchmarking.

#Rovira i virgili#University

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· graph.json

The full graph has 1,133 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

1.1K
Nodes
5.5K
Edges
8.50e-03
Density
1
Components
0.0782
Assortativity
0.0%
Reciprocity
155
Bridges
Most central nodes
1050.06272
3330.04594
160.04505
230.04505
420.04505
410.04329
1960.04152
2330.03975
210.03799
760.03799

Computed over the full corpus.

Record

Catalog key
arenas-email
Authors
Guimerà, R.; Danon, L.; Díaz-Guilera, A.; Giralt, F.; Arenas, A.
Year
2003
Source paper
Self-similar community structure in a network of human interactions
DOI / arXiv
10.1103/PhysRevE.68.065103
License
CC BY-SA 2.0 Germany (as stated by KONECT) (LicenseRef-CC-BY-SA-2.0-DE)
Records
1,133
Nodes
1,133
Edges
5,451
Nodes are
user
Edges are
email
Attributes
nodes have no attributes; edges have no attributes
Languages
en
Collected
2003 (2000s)
Tasks
From the graph: link prediction, community detection

Provenance

Originally published at
https://konect.cc/networks/arenas-email/ unverified
Hosted copy
Mirrored on echo.directory on 2026-10-02, 16.0 KB across 1 files. Checksums in MANIFEST.json.

Citations

Self-similar community structure in a network of human interactions.
R. Guimerà, L. Danon, A. Díaz-Guilera, Francesc Giralt, A. Arenas
Journal Article · Physical review. E, Statistical, nonlinear, and soft matter physics · 2002

1.5K
citations
highly cited
30
influential citations
2% 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{Guimer__2003,
  title     = {Self-similar community structure in a network of human interactions},
  volume    = {68},
  issn      = {1095-3787},
  url       = {http://dx.doi.org/10.1103/PhysRevE.68.065103},
  doi       = {10.1103/physreve.68.065103},
  number    = {6},
  journal   = {Physical Review E},
  publisher = {American Physical Society (APS)},
  author    = {Guimerà, R. and Danon, L. and Díaz-Guilera, A. and Giralt, F. and Arenas, A.},
  year      = {2003},
  month     = Dec
}

APA

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

Guimerà, R., Danon, L., Díaz-Guilera, A., Giralt, F., & Arenas, A. (2003). Arenas Email Communication Network [Data set]. https://doi.org/10.1103/PhysRevE.68.065103

MLA

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

Guimerà, R., et al. Arenas Email Communication Network. 2003, doi.org/10.1103/PhysRevE.68.065103.

BibTeX · RIS · CSL-JSON

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