My Bachelor’s thesis at the University of Pisa (April 2024). The project explores how Ethereum blockchain data can be modeled and queried as a property graph using Neo4j.
Abstract
The Ethereum blockchain generates a massive volume of transaction data. Traditional relational databases struggle to capture the highly connected, graph-like nature of blockchain interactions. This thesis proposes and evaluates a graph model for Ethereum data using Neo4j, enabling more expressive queries for analytics and investigation.
Technologies: Neo4j, Python, Cypher