Wallet Addresses
          +-----------+-----------+-----------+-----------+
          |           |  Wallet A |  Wallet B |  Wallet C |
          +-----------+-----------+-----------+-----------+
          | Wallet A  |     0     |     4     |     1     |
          +-----------+-----------+-----------+-----------+
          | Wallet B  |     4     |     0     |    22     |  <- High Score
          +-----------+-----------+-----------+-----------+
          | Wallet C  |     1     |    22     |     0     |
          +-----------+-----------+-----------+-----------+
          
          Interpretation:
          - Wallets A and B interacted 4 times (Suspiciously High?)
          - Wallets A and C interacted only 1 time (Likely Random)
          - Wallets B and C interacted 22 times (Curiously High)
        

  function calculateClusters(timeWindowMinutes, minThreshold) {
    // 1. Create Time Buckets
    //    Divide the timeline into chunks (e.g., 45 mins)
    const buckets = {};
    rawTransactions.forEach(tx => {
      const bucketID = Math.floor(tx.timeStamp / timeWindowMinutes);
      // Group addresses that were active at the same time
      if (!buckets[bucketID]) buckets[bucketID] = new Set();
      buckets[bucketID].add(tx.from);
    });

    // 2. Build Adjacency Matrix (Pairwise Counting)
    //    Count how often two wallets appear in the same bucket
    const matrix = {};
    Object.values(buckets).forEach(bucket => {
      // Iterate through every pair of addresses in the bucket
      // If they are both there, increment their "closeness" score
      countCoOccurrences(bucket, matrix); 
    });

    // 3. Apply Threshold
    //    Only keep connections that happen more than 'minThreshold' times
    //    This filters out noise and random one-off transactions
    const edgeList = filterByThreshold(matrix, minThreshold);

    return { nodes: nodeList, edges: edgeList };
  }