An interactive graph visualization application for exploring research publications and their relationships using D3.js.
- Force-directed layout: Nodes automatically arrange themselves with physics-based simulation
- Draggable nodes: Click and drag any node to reposition it
- Auto-balancing: The graph automatically optimizes edge lengths for better visualization
- Zoom and pan: Use mouse wheel to zoom, click and drag background to pan
The graph displays four types of nodes, each with distinct colors and shapes:
- 🔵 Journal Articles (Blue Rectangles): Research paper titles displayed in rectangular nodes with text visible
- 🟢 Co-Authors (Green Circles): Individual authors from publications
- 🔴 Primary Authors (Red Circles): Authors who are primary/first authors on papers
- 🟠 Journals (Orange Circles): Journals and books where papers are published
- Open
index.htmlin a modern web browser - The graph will load automatically with all nodes visible
The visualization is based on a public subset of research publications from the Ludwig Boltzmann Institute.