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Exact and heuristic computation of the scanwidth of directed acyclic graphs

Niels Holtgrefe*, Leo van Iersel, Mark Jones

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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 O(k⋅nk⋅m) time. The algorithm also functions as an FPT algorithm with complexity O(24ℓ−1⋅ℓ⋅n+n2) 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.
Original languageEnglish
Article number103802
Number of pages29
JournalJournal of Computer and System Sciences
Volume160
DOIs
Publication statusPublished - 2026

Keywords

  • Directed acyclic graphs
  • Parametrized algorithms
  • Phylogenetic networks
  • Scanwidth
  • Width measure

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