SNAP: Signed network datasets: Bitcoin Alpha web of trust network

Bitcoin Alpha trust weighted signed network

Dataset information

This is who-trusts-whom network of people who trade using Bitcoin on a platform called Bitcoin Alpha. Since Bitcoin users are anonymous, there is a need to maintain a record of users’ reputation to prevent transactions with fraudulent and risky users. Members of Bitcoin Alpha rate other members in a scale of -10 (total distrust) to +10 (total trust) in steps of 1. This is the first explicit weighted signed directed network available for research.

Dataset statistics
Nodes 3,783
Edges 24,186
Range of edge weight -10 to +10
Percentage of positive edges 93%

Similar network from another Bitcoin platform, Bitcoin OTC, is available here.

Source (citation)

Please cite the following paper if you use this dataset:

  • S. Kumar, F. Spezzano, V.S. Subrahmanian, C. Faloutsos. Edge Weight Prediction in Weighted Signed Networks. IEEE International Conference on Data Mining (ICDM), 2016.
  • S. Kumar, B. Hooi, D. Makhija, M. Kumar, V.S. Subrahmanian, C. Faloutsos. REV2: Fraudulent User Prediction in Rating Platforms. 11th ACM International Conference on Web Searchand Data Mining (WSDM), 2018.

The following BibTeX citations can be used:

@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}}

The project webpage for this paper, along with its code to calculate two signed network metrics—fairness and goodness—is available

Files

File
Description

soc-sign-bitcoinalpha.csv.gz
Weighted Signed Directed Bitcoin Alpha web of trust network

Data format

Please cite the following paper if you use this dataset:The following BibTeX citations can be used:Thefor this paper, along with its code to calculate two signed network metrics—fairness and goodness—is available here

Each line has one rating with the following format:

SOURCE, TARGET, RATING, TIME

where

  • SOURCE: node id of source, i.e., rater
  • TARGET: node id of target, i.e., ratee
  • RATING: the source’s rating for the target, ranging from -10 to +10 in steps of 1
  • TIME: the time of the rating, measured as seconds since Epoch. (This can be converted to human readable data easily as described here)

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