Graph structure and statistical properties of Ethereum transaction relationships

Dongchao Guo, Jiaqing Dong, Kai Wang

Abstract: Highlights•From the network science perspective, the Ethereum transactional behaviors such as the transaction volume, the transaction relation and the component structure of the graph share a similarity in that they exhibit the heavy-tail properties and could be approximated statistically by the power law function.•This research is the first work that provides a relatively comprehensive investigation into the transaction data recorded in the Ethereum blockchain and tries to find the statistical laws of the data from the perspective of network science.•Experiments also indicate that the transaction network exhibits a bow-tie structure with negative assortativity if it is seen as a directed network.