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User-Guided Force-Directed Graph Layout.

Hasan Balci1, Augustin Luna1

  • 1National Library of Medicine, Bethesda, MD, USA.

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|July 30, 2025
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Summary
This summary is machine-generated.

This study introduces a novel user-guided layout approach for relational data visualization, enabling intuitive control via freehand sketching. The method enhances data interpretability by aligning visual layouts with user expectations for graph data.

Keywords:
Information visualizationconstrained layoutgraph layouthuman-computer interaction

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Area of Science:

  • Computer Science
  • Data Visualization
  • Human-Computer Interaction

Background:

  • Visual analysis of relational data is crucial for analytics.
  • Current layout algorithms lack intuitive user control, requiring complex parameter tuning.
  • Layout quality significantly impacts the interpretability of visualized data.

Purpose of the Study:

  • To develop an intuitive user-guided layout approach for relational data visualization.
  • To enable users to control graph layouts through freehand sketching.
  • To improve the interpretability of visualized relational data.

Main Methods:

  • A user-guided force-directed layout approach is presented.
  • Classical image analysis techniques extract structural information from user sketches.
  • Extracted sketch information generates positional constraints to guide the layout algorithm.

Main Results:

  • The approach allows for intuitive control over graph layouts via sketching.
  • Evaluated on real and synthetic graphs, the method produces user-aligned layouts.
  • Demonstrates effective control for small to medium-scale relational datasets.

Conclusions:

  • User-guided sketching offers an intuitive method for controlling relational data layouts.
  • The developed approach enhances the alignment between user intent and visual output.
  • This technique improves the practical application of graph visualization in analytics.