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
TypeArticle
TitleExact and heuristic computation of the scanwidth of directed acyclic graphs
AuthorsHoltgrefe, 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 Goals9 Industry, innovation and infrastructure
Middlesex University ThemeCreativity, Culture & Enterprise
PublisherElsevier
JournalJournal of Computer and System Sciences
ISSN0022-0000
Electronic1090-2724
Publication dates
Online31 Mar 2026
PrintSep 2026
Publication process dates
Submitted05 Feb 2024
Accepted22 Mar 2026
Deposited14 Apr 2026
Output statusPublished
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
LanguageEnglish
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