Graph-based fraud detection system for identifying shell companies and hidden ownership using NetworkX, community detection, and centrality analysis.
https://github.com/Bitu-Singh-Rathoud/kyb-graph-analytics
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.
- Graph construction from entity relationships
- Community detection (Louvain method)
- Centrality analysis (PageRank, Betweenness)
- Detection of suspicious ownership patterns
- Python
- NetworkX
- Pandas
- Graph Analytics
- Identified high-risk entities using centrality scores
- Detected clusters of potentially fraudulent companies
- Improved visibility of hidden ownership links
pip install -r requirements.txt
python main.py