Exact and heuristic computation of the scanwidth of directed acyclic graphs
Article
Holtgrefe, N., van Iersel, L. and Jones, M. 2026. Exact and heuristic computation of the scanwidth of directed acyclic graphs. Journal of Computer and System Sciences. 106. https://doi.org/10.1016/j.jcss.2026.103802
| Type | Article |
|---|---|
| Title | Exact and heuristic computation of the scanwidth of directed acyclic graphs |
| Authors | Holtgrefe, N., van Iersel, L. and Jones, M. |
| Abstract | To measure the tree-likeness of a directed acyclic graph (DAG), a new width parameter that considers the directions of the arcs was recently introduced: scanwidth. We present the first algorithm that efficiently computes the exact scanwidth of general DAGs. For DAGs with one root and scanwidth k it runs in time. The algorithm also functions as an FPT algorithm with complexity for phylogenetic networks of level-ℓ, a type of DAG used to depict evolutionary relationships among species. Our algorithm performs well in practice, being able to compute the scanwidth of synthetic networks up to 30 reticulations and 100 leaves within 500 seconds. Furthermore, we propose a heuristic that obtains an average practical approximation ratio of 1.5 on these networks. While we prove that the scanwidth is bounded from below by the treewidth of the underlying undirected graph, experiments suggest that for networks the parameters are close in practice. |
| Sustainable Development Goals | 9 Industry, innovation and infrastructure |
| Middlesex University Theme | Creativity, Culture & Enterprise |
| Publisher | Elsevier |
| Journal | Journal of Computer and System Sciences |
| ISSN | 0022-0000 |
| Electronic | 1090-2724 |
| Publication dates | |
| Online | 31 Mar 2026 |
| Sep 2026 | |
| Publication process dates | |
| Submitted | 05 Feb 2024 |
| Accepted | 22 Mar 2026 |
| Deposited | 14 Apr 2026 |
| Output status | Published |
| Publisher's version | License File Access Level Open |
| Copyright Statement | © 2026 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jcss.2026.103802 |
| Language | English |
https://repository.mdx.ac.uk/item/368053
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