Force-Directed Layout of Order Diagrams using Dimensional Reduction
Not on the map. Why?
Abstract (arXiv)
Order diagrams allow human analysts to understand and analyze structural properties of ordered data. While an experienced expert can create easily readable order diagrams, the automatic generation of those remains a hard task. In this work, we adapt force-directed approaches, which are known to generate aesthetically-pleasing drawings of graphs, to the realm of order diagrams. Our algorithm ReDraw thereby embeds the order in a high dimension and then iteratively reduces the dimension until a two-dimensional drawing is achieved. To improve aesthetics, this reduction is equipped with two force-directed steps where one optimizes on distances of nodes and the other on distances of lines in order to satisfy a set of a priori fixed conditions. By respecting an invariant about the vertical position of the elements in each step of our algorithm we ensure that the resulting drawings satisfy all necessary properties of order diagrams. Finally, we present the results of a user study to demonstrate that our algorithm outperforms comparable approaches on drawings of lattices with a high degree of distributivity.
Key facts. Cited by 2 papers in the map (data through 13 Oct 2026). First posted on arXiv 4 Feb 2021.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 2.
2 papers.
- 2023Ordinal Motifs in Latticescited by 2
- 2023Towards Ordinal Data Sciencecited by 1
- 2023Towards Ordinal Data Science13 Jul 2023
- 2023Ordinal Motifs in Lattices10 Apr 2023