Dataset: Bitcoin Alpha

About this Dataset

Bitcoin Alpha

Context

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.

Content

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.

Acknowledgements

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.

Tables

Bitcoinalpha

@kaggle.boneacrabonjac_bitcoin_alpha.bitcoinalpha

266.57 KB
24185 rows
5 columns


CREATE TABLE bitcoinalpha (
  "unnamed_0" BIGINT,
  "source" BIGINT,
  "target" BIGINT,
  "rating" BIGINT,
  "time" BIGINT
);