Transaction Clustering

Transaction clustering is a heuristic method used in blockchain forensics to group multiple wallet addresses that are likely controlled by the same entity. By analyzing input and output patterns within a transaction, analysts can infer ownership based on common spending habits or structural characteristics of the wallet interactions.

For example, if multiple inputs from different addresses are used to fund a single transaction, it is highly probable that these addresses share a common controller. This technique is vital for de-anonymizing participants in decentralized networks and understanding the true concentration of wealth.

It allows researchers to see past the pseudonymity of individual addresses to view the actual economic actors involved. This information is crucial for assessing counterparty risk and market manipulation potential.

It provides a clearer picture of market microstructure by revealing the true scale of institutional or individual holdings.