ORBITAAL: A Temporal Graph Dataset of Bitcoin Entity-Entity Transactions

TL;DR

ORBITAAL is a comprehensive temporal graph dataset of Bitcoin transactions from 2009 to 2021, enabling detailed analysis of entity interactions and transaction dynamics for economic and network research.

Contribution

It introduces the first extensive temporal graph dataset of Bitcoin transactions, including entity details, transaction values, and multiple graph representations, facilitating advanced analysis.

Findings

Provides a complete temporal graph dataset covering 2009-2021

Includes detailed entity and transaction information in Bitcoin and USD

Enables new research opportunities in economic and network analysis

Abstract

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.