Algorithm Structure @Bubblemaps.io $BMT : Build a bubble map from blockchain data
@Bubblemaps.io is a data visualization method that helps users easily see hidden relationships among blockchain wallet addresses. Instead of merely listing transactions or dry column charts, Bubblemaps use bubbles to represent addresses, where size, color, and position are calculated based on graph analysis algorithms.
1. Data Collection
The first step is to scan data from the blockchain. Transactions, wallet addresses, and token balances will be retrieved, usually through an API or direct node.
2. Build the Network
From raw data, the system creates a graph: each node is an address, and edges represent transactions. The frequency and volume of transactions are stored as weights.
3. Clustering
Clustering algorithms such as Louvain or Girvan–Newman are used to find groups of addresses with dense connections. This is a way to identify groups of wallets belonging to the same organization or individual.
4. Bubble Map Layout
A force-directed layout algorithm is applied: bubbles push each other away, while links pull them closer. This allows clusters of bubbles to form naturally and be easily observed.
5. Visualization
The size of the bubbles typically represents the amount of tokens held, the color indicates clusters, and the position reflects transaction relationships. Users can simply look at the map to detect 'whales', manipulation networks, or dubious relationships.
Thanks to this algorithm structure, Bubblemaps transform complex blockchain data into a vivid visual representation, aiding in on-chain analysis, fraud investigation, and providing strategic insights for investors.
@Bubblemaps.io #Bubblemaps #BMT
