NetXplore
A social-discourse analysis system that models conversations as networks, with graph metrics, community structure, anonymization and interactive visualization.
Making conversation networks explorable.
NetXplore is a final project from Shenkar's Software Engineering Department. It analyzes social discourse by representing conversations as networks and lets users explore them interactively, with graph metrics, community structure and anonymization.
A research platform for WhatsApp and Wikipedia discourse.
The public repository documents ingestion of WhatsApp text exports and Wikipedia discussion data, network construction, community detection, centrality measures, filtering, cross-group comparison and export of results.
The implementation uses a React frontend, FastAPI backend, PostgreSQL database and NetworkX-based graph analysis.
Publicly documented capabilities
- Degree, betweenness and closeness centrality
- Community detection
- Date, keyword and user filters
- Cross-group comparison
- Participant anonymization
- CSV and Excel export
Network analysis in a different setting.
A related SCE project applies interaction-network analysis to Wikipedia discussions: Sockpuppet Detection: Network Analysis and SNA.
Final report and public repository.
The student final report, the official Shenkar project page and the repository with the web application source.
Final project, Shenkar Software Engineering, 2025.
Built by Tslil Aharon, Noy Raichman and Shira Dagan-Roberts.
