Bitcoin Alpha Web of Trust Network
A Bitcoin Alpha (peer-to-peer Bitcoin trading platform) dataset of 3,783 users and 24,186 directed weighted trust ratings (22,650 positive, 1,536 negative), collected by Kumar et al. via platform crawl, distributed by SNAP. Each record contains directed weighted signed edges between users: integer rating in [-10, +10] representing trust strength, plus binarized sign (+1/-1) for compatibility with signed network algorithms; Unix timestamps per rating. continuous integer trust weights rather than binary +1/-1 signs, enabling weighted signed network analysis and providing finer-grained trust signal than Epinions or Slashdot while operating in the high-stakes context of peer-to-peer Bitcoin trading. Suitable for weighted signed network analysis, edge weight prediction, trust propagation modeling, fraud detection, reputation system design, and signed graph embedding research.
Cite this dataset at
bitcoin-alpha.echo.directory
Analytics
The full graph has 3,783 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
bitcoin-alpha- Authors
- Kumar, Srijan; Spezzano, Francesca; Subrahmanian, V.S.; Faloutsos, Christos
- Year
- 2016
- Source paper
- Edge Weight Prediction in Weighted Signed Networks
- DOI / arXiv
- 10.1109/ICDM.2016.0033
- License
- Unknown — SNAP public research dataset
- Records
- 3,783
- Nodes
- 3,783
- Edges
- 24,186 (directed)
- Nodes are
- user
- Edges are
- trust
- Attributes
- nodes have no attributes; edges have attributes
- Languages
- en
- Collected
- November 2010 to January 2014 (2010s)
- Tasks
- Edge sign prediction (binary;
sign) inferred
From the graph: link prediction, community detection
Provenance
- Originally published at
- https://snap.stanford.edu/data/soc-sign-bitcoin-alpha.html link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 301.1 KB across 1 files. Checksums in MANIFEST.json.
Citations
Edge Weight Prediction in Weighted Signed Networks
Srijan Kumar, Francesca Spezzano, V. Subrahmanian, C. Faloutsos
Journal Article · Industrial Conference on Data Mining · 2016
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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}
}
@inproceedings{kumar2016edge,
title = {Edge weight prediction in weighted signed networks},
author = {Kumar, Srijan and Spezzano, Francesca and Subrahmanian, VS and Faloutsos, Christos},
booktitle = {Data Mining (ICDM), 2016 IEEE 16th International Conference on},
pages = {221--230},
year = {2016},
organization = {IEEE}
}
@inproceedings{kumar2018rev2,
title = {Rev2: Fraudulent user prediction in rating platforms},
author = {Kumar, Srijan and Hooi, Bryan and Makhija, Disha and Kumar, Mohit and Faloutsos, Christos and Subrahmanian, VS},
booktitle = {Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining},
pages = {333--341},
year = {2018},
organization = {ACM}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Kumar, S., Spezzano, F., Subrahmanian, V., & Faloutsos, C. (2016). Bitcoin Alpha Web of Trust Network [Data set]. https://doi.org/10.1109/ICDM.2016.0033
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Kumar, Srijan, et al. Bitcoin Alpha Web of Trust Network. 2016, doi.org/10.1109/ICDM.2016.0033.