Design of an API-Based Integrated Exploration and Visualization System for Interpersonal Relationship Graphs

Key Points

• The aim is to design a reusable system for exploring and visualizing large-scale interpersonal relationship graphs.
• Developed an API-based model to facilitate exploration and visualization.
• Applied preprocessing rules to normalize relationship types and infer semantic reverse relationships.
• Implemented pathfinding algorithms that account for relationship type priorities and weights.
• Separated API and proxy layers to ensure consistent exploration across environments.
• Utilized D3.js for interactive graph visualization.
• Demonstrated effective exploration of large relationship graphs with 80,000 nodes and 300,000 links.
• Provided consistent performance in both single and heterogeneous environments.
• Returned exploration results in unified JSON format for better interoperability.

Abstract