A hyperbolic tree visualizes hierarchical data in a circular hyperbolic space. Elements near the center are enlarged, while elements toward the edge are compressed. This makes it possible to see both a focus area and surrounding context, making it a classic focus-plus-context technique.

Purpose

The purpose is to navigate large hierarchies without losing the broader structure. Users can bring a node into focus while keeping related branches visible around it.

Use Cases

• Large file systems
• Website maps
• Taxonomies
• Knowledge graphs with tree-like structure

Design Notes

• Use interaction; static hyperbolic trees are harder to read.
• Keep labels legible near the focus.
• Provide orientation cues so users do not get lost.

Summary

Hyperbolic trees are powerful for interactive navigation of large hierarchies. Their strength is combining detail and context in one view.