The Technical Core of the Visualization Engine — Making On-Chain Data 'Speak'
The core competitiveness of Bubblemaps lies in its innovative 'Dynamic Association Algorithm'. Traditional on-chain analysis tools can only display the transaction records of a single address, while its engine achieves deep insights through a three-layer data processing mechanism: the first layer uses Graph Neural Networks (GNN) to identify address cluster features, automatically labeling entities such as exchanges and market makers, with an accuracy rate of 92%; the second layer uses time series analysis to map the flow of funds, tracing asset transfer paths in cross-chain transactions, maintaining over 65% recognition rate even after being processed by mixers; the third layer employs community discovery algorithms to mine hidden associations, such as identifying different address groups controlled by the same entity, revealing the 'whale' diversification strategy. This technical architecture increases the information density of raw blockchain data by over 10 times, providing users with structured decision-making support.