A Temporal Graph Dataset of Bitcoin Entity-Entity Transactions
Research on Bitcoin (BTC) transactions is a matter of interest for both economic and network science fields. Although this cryptocurrency is based on a decentralized system, making transaction details freely accessible, making raw blockchain data analyzable is not straightforward due to the Bitcoin protocol specificity and data richness. To address the need for an accessible dataset, we present ORBITAAL, the first comprehensive dataset based on temporal graph formalism. The dataset covers all Bitcoin transactions from January 2009 to January 2021. ORBITAAL provides temporal graph representations of entity-entity transaction networks, snapshots, and stream graph. Each transaction value is given in Bitcoin and US dollar regarding daily-based conversion rate. This dataset also provides details on entities such as their global BTC balance and associated public addresses.
Authors
- Rémy Cazabet (ORCID: https://orcid.org/0000-0002-9429-3865)
- Célestin Coquidé (ORCID: https://orcid.org/0000-0001-8546-6587)
Institutions
- Université Claude Bernard Lyon 1 (FR)
- École Centrale de Lyon (FR)
- Centre National de la Recherche Scientifique (FR)
- Université Lumière Lyon 2 (FR)
- Laboratoire d'Informatique en Images et Systèmes d'Information (FR)
- Institut National des Sciences Appliquées de Lyon (FR)
Publication Details
- Journal
- Scientific Data
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1038/s41597-025-04595-8
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00