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An interactive graph visualization application for exploring research publications and their relationships using D3.js.

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LBI Research Graph Visualization

An interactive graph visualization application for exploring research publications and their relationships using D3.js.

Work Session

Features

Interactive Graph

  • 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

Node Types

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

Usage

Opening the Application

  1. Open index.html in a modern web browser
  2. The graph will load automatically with all nodes visible

Data Source

The visualization is based on a public subset of research publications from the Ludwig Boltzmann Institute.

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An interactive graph visualization application for exploring research publications and their relationships using D3.js.

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