Address Clustering Heuristics
Address Clustering Heuristics are specific rules or algorithms applied to blockchain data to identify addresses belonging to the same owner. These rules might include identifying shared change addresses, multi-input transactions, or frequent transfers between wallets.
By consistently applying these heuristics, analysts can aggregate data from millions of transactions into meaningful entities. This process is crucial for understanding network participation and identifying institutional versus retail flow.
However, these heuristics can be circumvented by advanced users employing privacy tools or mixers. Therefore, they are constantly evolving to keep pace with new obfuscation techniques.
They provide the foundational data for higher-level analysis of market microstructure. Accurate clustering is essential for any quantitative research into blockchain network dynamics.