Facebook UC64 Network (FB100)
A Facebook (UC64, September 2005) dataset of 6,833 users and 155,332 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (68 unique), dorm (48 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: -0.0283, major homophily: 0.0392.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.
Cite this dataset at
fb100-uc64.echo.directory
Analytics
The full graph has 6,833 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Computed over the full corpus.
Record
- Catalog key
fb100-uc64- Authors
- Traud, Amanda L.; Mucha, Peter J.; Porter, Mason A.
- Year
- 2012
- Source paper
- Social Structure of Facebook Networks
- DOI / arXiv
- 10.1016/j.physa.2011.12.021
- License
- Unknown
- Records
- 6,833
- Nodes
- 6,833
- Edges
- 155,332
- Nodes are
- user
- Edges are
- friendship
- Attributes
- nodes have attributes; edges have no attributes
- Languages
- en
- Collected
- 2005 (2000s)
- Tasks
- Node classification (binary;
gender, role) inferred
From the graph: link prediction, community detection - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://archive.org/details/oxford-2005-facebook-matrix link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 653.1 KB across 1 files. Checksums in MANIFEST.json.
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{traud2012social,
title = {Social structure of {Facebook} networks},
author = {Traud, Amanda L and Mucha, Peter J and Porter, Mason A},
journal = {Physica A: Statistical Mechanics and its Applications},
volume = {391},
number = {16},
pages = {4165--4180},
year = {2012},
publisher = {Elsevier}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Traud, A. L., Mucha, P. J., & Porter, M. A. (2012). Facebook UC64 Network (FB100) [Data set]. https://doi.org/10.1016/j.physa.2011.12.021
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Traud, Amanda L., et al. Facebook UC64 Network (FB100). 2012, doi.org/10.1016/j.physa.2011.12.021.