Graph Analysis Visualization Toolkit

A comprehensive toolkit for visualizing and analyzing graph structures with privacy-preserving capabilities.

📊 Graph Analysis Visualization Toolkit

A comprehensive toolkit for visualizing and analyzing graph structures with built-in privacy-preserving capabilities. This tool enables researchers and practitioners to explore complex network data while maintaining data confidentiality.

🎯 Project Overview

Graph visualization is essential for understanding complex network structures, but traditional tools often require sharing sensitive data. This toolkit provides interactive visualization capabilities while preserving privacy through cryptographic techniques.

🔬 Key Features

Interactive Visualization

  • Network Graphs: 2D and 3D graph representations
  • Dynamic Layouts: Force-directed, hierarchical, and circular layouts
  • Interactive Elements: Zoom, pan, node selection, and filtering
  • Custom Styling: Node colors, sizes, and edge weights

Privacy-Preserving Analysis

  • Encrypted Computation: FHE-based graph analysis
  • Secure Aggregation: MPC for collaborative analysis
  • Differential Privacy: Privacy-preserving statistics
  • Access Control: Fine-grained permission management

Analysis Capabilities

  • Centrality Measures: Degree, betweenness, closeness centrality
  • Community Detection: Modularity, spectral clustering
  • Path Analysis: Shortest paths, network flow
  • Temporal Analysis: Evolution of networks over time

💡 Applications

  • Social Network Analysis: Privacy-preserving social media analysis
  • Biological Networks: Secure protein interaction analysis
  • Financial Networks: Confidential transaction pattern analysis
  • Academic Research: Collaborative research without data sharing

This toolkit makes graph analysis accessible while maintaining the highest standards of privacy and security.