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kyb-graph-analytics

Graph-based fraud detection system for identifying shell companies and hidden ownership using NetworkX, community detection, and centrality analysis.

KYB Graph Analytics

🔗 Project Link

https://github.com/Bitu-Singh-Rathoud/kyb-graph-analytics

📌 Overview

This project implements a graph-based fraud detection system to identify shell companies and hidden ownership structures using NetworkX. It is designed for KYB (Know Your Business) and AML compliance use cases.

🚀 Features

  • Graph construction from entity relationships
  • Community detection (Louvain method)
  • Centrality analysis (PageRank, Betweenness)
  • Detection of suspicious ownership patterns

🛠 Tech Stack

  • Python
  • NetworkX
  • Pandas
  • Graph Analytics

📊 Results

  • Identified high-risk entities using centrality scores
  • Detected clusters of potentially fraudulent companies
  • Improved visibility of hidden ownership links

▶️ How to Run

pip install -r requirements.txt
python main.py

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Graph-based fraud detection system for identifying shell companies and hidden ownership using NetworkX, community detection, and centrality analysis.

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