Heuristic Analysis
Heuristic Analysis is a method of identifying patterns in blockchain data that suggest a common origin or ownership without needing explicit proof. By applying rules such as common input spending, where multiple inputs in a transaction are assumed to be controlled by the same entity, analysts can cluster addresses.
This is a fundamental technique in blockchain forensics and wallet clustering. It allows for the mapping of complex networks of addresses that might otherwise appear unrelated.
While not infallible, heuristic analysis provides a high degree of probability for identifying entities. It is essential for understanding the scale of whale activity and the distribution of assets.
This approach is constantly refined to account for new wallet technologies and privacy features. It remains a cornerstone of on-chain intelligence.