Visual Analytics for Monitoring and Exploration of Blockchain Data With a Focus on the Bitcoin Blockchain

The goal of our work is to devise visual analytics techniques to deeply explore data stored on blockchains. Given the novel data storage nature of blockchains, they offer a unique opportunity to study the evolution of the stored data as well as data storage patterns. Opposed to most existing approaches that analyze the raw data we focus on aggregated measures. In particular, we analyze long-term activities and monitoring of activities that led to building the blockchain. We currently focus on the Bitcoin blockchain as the most popular blockchain with a turbulent history.