AI-powered intelligence tool for detecting coordinated activity and hidden relationships between entities using text similarity and network analysis.
This project simulates an OSINT (Open Source Intelligence) workflow used in cybersecurity and intelligence environments to analyze user-generated content and uncover potential coordinated behavior across social networks.
By transforming text into vector space and measuring similarity between entities, the system builds a network graph that highlights connections, clusters, and suspicious activity patterns.
- Text similarity analysis using TF-IDF
- Detection of coordinated behavior between entities
- Graph-based network visualization
- Community (cluster) detection
- Identification of potential suspicious activity
- Python
- NetworkX
- Scikit-learn
- Matplotlib
python main.py