Algorithms and Hardness for Geodetic Set on Tree-like Digraphs

📅 2026-03-24
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This study addresses the geodetic set problem on directed graphs: determining whether there exists a vertex subset of size $k$ such that every other vertex lies on a shortest directed path between some pair of vertices in the subset. The authors present the first polynomial-time algorithm for ditrees (directed trees). For directed graphs without 2-cycles whose underlying undirected graphs have feedback edge number $\mathrm{fen}$, they devise a parameterized algorithm running in $2^{O(\mathrm{fen})} \cdot n^{O(1)}$ time. Furthermore, they establish that the problem remains NP-hard even on directed acyclic graphs (DAGs) with a constant feedback vertex number, significantly strengthening the known complexity landscape of the problem.

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📝 Abstract
In the GEODETIC SET problem, an input is a (di)graph $G$ and integer $k$, and the objective is to decide whether there exists a vertex subset $S$ of size $k$ such that any vertex in $V(G)\setminus S$ lies on a shortest (directed) path between two vertices in $S$. The problem has been studied on undirected and directed graphs from both algorithmic and graph-theoretical perspectives. We focus on directed graphs and prove that GEODETIC SET admits a polynomial-time algorithm on ditrees, that is, digraphs with possible 2-cycles when the underlying undirected graph is a tree (after deleting possible parallel edges). This positive result naturally leads us to investigate cases where the underlying undirected graph is "close to a tree". Towards this, we show that GEODETIC SET on digraphs without 2-cycles and whose underlying undirected graph has feedback edge set number $\textsf{fen}$, can be solved in time $2^{\mathcal{O}(\textsf{fen})} \cdot n^{\mathcal{O}(1)}$, where $n$ is the number of vertices. To complement this, we prove that the problem remains NP-hard on DAGs (which do not contain 2-cycles) even when the underlying undirected graph has constant feedback vertex set number. Our last result significantly strengthens the result of Araújo and Arraes~[Discrete Applied Mathematics, 2022] that the problem is NP-hard on DAGs when the underlying undirected graph is either bipartite, cobipartite or split.
Problem

Research questions and friction points this paper is trying to address.

Geodetic Set
Directed Graphs
Tree-like Digraphs
NP-hardness
Shortest Paths
Innovation

Methods, ideas, or system contributions that make the work stand out.

Geodetic Set
ditree
feedback edge number
fixed-parameter tractability
NP-hardness
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