• Media type: Text; E-Article; Electronic Conference Proceeding
  • Title: Parameterized Complexity of Geodetic Set
  • Contributor: Kellerhals, Leon [Author]; Koana, Tomohiro [Author]
  • Published: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2020
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.IPEC.2020.20
  • Keywords: Parameter hierarchy ; NP-hard graph problems ; Tree-likeness ; Shortest paths ; Data reduction ; Integer linear programming
  • Origination:
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  • Description: A vertex set S of a graph G is geodetic if every vertex of G lies on a shortest path between two vertices in S. Given a graph G and k ∈ ℕ, the NP-hard Geodetic Set problem asks whether there is a geodetic set of size at most k. Complementing various works on Geodetic Set restricted to special graph classes, we initiate a parameterized complexity study of Geodetic Set and show, on the negative side, that Geodetic Set is W[1]-hard when parameterized by feedback vertex number, path-width, and solution size, combined. On the positive side, we develop fixed-parameter algorithms with respect to the feedback edge number, the tree-depth, and the modular-width of the input graph.
  • Access State: Open Access