Heavy Nodes in a Small Neighborhood: Algorithms and Applications

Heavy Nodes in a Small Neighborhood: Algorithms and Applications

Open Code

Heavy Nodes in a Small Neighborhood: Algorithms and Applications

researchers from King's College have released an open-source code repository aimed at detecting suspicious AML activity by analyzing interrelated transactions to identify patterns consistent with smurfing behavior.

  • Use cases, geography and tags
  • Organizations that created, adopted or are mentioned
  • Ecosystem position
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