Chakraborty, D. orcid.org/0000-0003-0534-6417, Das, S., Foucaud, F. et al. (2 more authors) (2026) Algorithms and complexity for geodetic sets on interval and chordal graphs. Information and Computation. ISSN: 0890-5401 (In Press)
Abstract
We study the computational complexity of finding the geodetic number of a graph on chordal graphs and interval graphs. A set S of vertices of a graph G is a geodetic set if every vertex of G lies in a shortest path between some pair of vertices of S. The Minimum Geodetic Set (MGS) problem is to find a geodetic set with minimum cardinality of a given graph. We show that Minimum Geodetic Set is fixed parameter tractable for chordal graphs when parameterized by its tree-width (which equals its clique number). This implies a polynomial-time algorithm for k-trees, for fixed k. Then, we show that Minimum Geodetic Set is NP-hard on interval graphs, thereby answering a question of Ekim et al. (LATIN, 2012), who showed that Minimum Geodetic Set is polynomial-time solvable on proper interval graphs. As interval graphs are very constrained, to prove the latter result, we design a rather sophisticated reduction technique to work around their inherent linear structure.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Keywords: | Graph Algorithm, Geodetic sets, interval graphs, chordal graphs, tree decomposition, Dynamic Programming, NP-hardness |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
| Date Deposited: | 01 May 2026 09:19 |
| Last Modified: | 01 May 2026 09:19 |
| Status: | In Press |
| Publisher: | Elsevier |
| Identification Number: | 10.1016/j.ic.2026.105456 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:240613 |

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