English

Force-Directed Graph Layouts Revisited: A New Force Based on the T-Distribution

Graphics 2023-03-08 v1 Data Structures and Algorithms Human-Computer Interaction Social and Information Networks

Abstract

In this paper, we propose the t-FDP model, a force-directed placement method based on a novel bounded short-range force (t-force) defined by Student's t-distribution. Our formulation is flexible, exerts limited repulsive forces for nearby nodes and can be adapted separately in its short- and long-range effects. Using such forces in force-directed graph layouts yields better neighborhood preservation than current methods, while maintaining low stress errors. Our efficient implementation using a Fast Fourier Transform is one order of magnitude faster than state-of-the-art methods and two orders faster on the GPU, enabling us to perform parameter tuning by globally and locally adjusting the t-force in real-time for complex graphs. We demonstrate the quality of our approach by numerical evaluation against state-of-the-art approaches and extensions for interactive exploration.

Keywords

Cite

@article{arxiv.2303.03964,
  title  = {Force-Directed Graph Layouts Revisited: A New Force Based on the T-Distribution},
  author = {Fahai Zhong and Mingliang Xue and Jian Zhang and Fan Zhang and Rui Ban and Oliver Deussen and Yunhai Wang},
  journal= {arXiv preprint arXiv:2303.03964},
  year   = {2023}
}

Comments

To appear in IEEE Transactions on Visualization and Computer Graphics

R2 v1 2026-06-28T09:05:42.855Z