MIT Reality Mining Proximity Network

A MIT Media Lab (mobile phone Bluetooth proximity sensing) dataset of 96 nodes and 2,539 edges, collected by Nathan Eagle & Alex Pentland via mobile phone study. Each record contains directed: False, weighted: True, signed: False, temporal: True. Bluetooth proximity contact network of 100 MIT students and faculty over 9 months. One of the earliest large-scale mobile sensing datasets, with temporal edges capturing when people were physically near each other.. Suitable for temporal network analysis, proximity sensing, community detection, mobility.

#Bluetooth#Mit media lab#Mobile sensing#Proximity network#Reality mining

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· graph.json

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

96
Nodes
2.5K
Edges
5.57e-01
Density
1
Components
-0.05549
Assortativity
0.0%
Reciprocity
0
Bridges
Most central nodes
150.9684
680.9053
100.8632
80.8421
350.8316
140.821
70.821
30.8
740.8
460.7895

Computed over the full corpus.

Record

Catalog key
mit-reality-mining
Authors
Eagle, Nathan; (Sandy) Pentland, Alex
Year
2006
Source paper
Reality mining: sensing complex social systems
DOI / arXiv
10.1007/s00779-005-0046-3
License
CC BY-SA 2.0 Germany (as stated by KONECT) (LicenseRef-CC-BY-SA-2.0-DE)
Records
96
Nodes
96
Edges
2,539
Nodes are
person
Edges are
proximity
Attributes
nodes have no attributes; edges have attributes
Languages
en
Collected
2004 (2000s)
Tasks
From the graph: link prediction, community detection

Provenance

Originally published at
https://konect.cc/networks/mit/ unverified
Hosted copy
Mirrored on echo.directory on 2026-10-02, 1.1 MB across 1 files. Checksums in MANIFEST.json.

Citations

Reality mining: sensing complex social systems
N. Eagle, A. Pentland
Journal Article · Personal and Ubiquitous Computing · 2006

3.1K
citations
highly cited
222
influential citations
7% 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{Eagle_2005,
  title     = {Reality mining: sensing complex social systems},
  volume    = {10},
  issn      = {1617-4917},
  url       = {http://dx.doi.org/10.1007/s00779-005-0046-3},
  doi       = {10.1007/s00779-005-0046-3},
  number    = {4},
  journal   = {Personal and Ubiquitous Computing},
  publisher = {Springer Science and Business Media LLC},
  author    = {Eagle, Nathan and (Sandy) Pentland, Alex},
  year      = {2005},
  month     = Nov,
  pages     = {255–268}
}

APA

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

Eagle, N., & (Sandy) Pentland, A. (2006). MIT Reality Mining Proximity Network [Data set]. https://doi.org/10.1007/s00779-005-0046-3

MLA

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

Eagle, Nathan, and Alex (Sandy) Pentland. MIT Reality Mining Proximity Network. 2006, doi.org/10.1007/s00779-005-0046-3.

BibTeX · RIS · CSL-JSON

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