“Bitcoin Transaction Behavior Modes Exploration Based on Balance Data” – Yu Zhang, Claudio J. Tessone has been accepted for publication by EPJ Data Science. It explores Bitcoin user transaction behaviors, identifying two distinct modes—”poor” users who buy then sell all their holdings over time and “wealthy” users who gradually sell their holdings—and finds that Bitcoin balance distribution follows a log-normal pattern, deviating from proportional growth rules like Gibrat’s law.
“A Theoretical Model of False Information Control” – Yu Zhang, Nicolo Vallarano, Claudio J. Tessone has been accepted for publication by Advances in Complex Systems. It presents a theoretical model based on the Susceptible-Infected (SI) framework to analyze and optimize intervention strategies that control the false information in social networks, offering analytical decision boundaries and cost insights for effective misinformation control.
“Tracing Digital Trails: A General Blockchain Forensic Analysis Workflow and the Libra Memecoin Case Study” – Tao Yan, Shengnan Li and Claudio J. Tessone has been accepted in Nanyang Blockchain Conference 2025.
“Research on the Time-Varying Network Topology Characteristics of Cryptocurrencies on Uniswap V3” – Xiao Feng, Mei Yu, Tao Yan, Jianhong Lin and Claudio J. Tessone has been published in Electronics.