Algorithmic Properties of Sparse Digraphs
Stephan Kreutzer, Patrice Ossona de Mendez, Roman Rabinovich,, Sebastian Siebertz

TL;DR
This paper explores the properties of sparse directed graphs, extending concepts from undirected graph theory, and demonstrates new fixed-parameter tractability and approximation results for key problems like Steiner tree and dominating set.
Contribution
It introduces directed bounded expansion and nowhere crownfulness, showing that many algorithmic tools from undirected graphs apply to directed graphs, and provides new FPT and approximation algorithms.
Findings
Directed Steiner tree problem is fixed-parameter tractable on bounded expansion classes.
Distance-$r$ dominating set can be approximated within an $O(\log k)$ factor.
Polynomial kernels are achievable for distance-$r$ dominating sets on nowhere crownful classes.
Abstract
The notions of bounded expansion and nowhere denseness have been applied very successfully in algorithmic graph theory. We study the corresponding notions of directed bounded expansion and nowhere crownfulness on directed graphs. We show that many of the algorithmic tools that were developed for undirected bounded expansion classes can, with some care, also be applied in their directed counterparts, and thereby we highlight a rich algorithmic structure theory of directed bounded expansion classes. More specifically, we show that the directed Steiner tree problem is fixed-parameter tractable on any class of directed bounded expansion parameterized by the number of non-terminals plus the maximal diameter of a strongly connected component in the subgraph induced by the terminals. Our result strongly generalizes a result of Jones et al., who proved that the problem is fixed…
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