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Orientable Burning Number of Graphs

Orientable burning number of graphs
Authors: Julien Courtiel; Paul Dorbec; Tatsuya Gima; Romain Lecoq; Yota Otachi;

Orientable Burning Number of Graphs

Abstract

In this paper, we introduce the problem of finding an orientation of a given undirected graph that maximizes the burning number of the resulting directed graph. We show that the problem is polynomial-time solvable on Kőnig-Egerváry graphs (and thus on bipartite graphs) and that an almost optimal solution can be computed in polynomial time for perfect graphs. On the other hand, we show that the problem is NP-hard in general and W[1]-hard parameterized by the target burning number. The hardness results are complemented by several fixed-parameter tractable results parameterized by structural parameters. Our main result in this direction shows that the problem is fixed-parameter tractable parameterized by cluster vertex deletion number plus clique number (and thus also by vertex cover number).

17pages, 3 figures, WALCOM 2024

Keywords

FOS: Computer and information sciences, Extremal problems in graph theory, burning number, Games on graphs (graph-theoretic aspects), [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], 004, Graph algorithms (graph-theoretic aspects), [MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO], Computer Science - Data Structures and Algorithms, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Data Structures and Algorithms (cs.DS), Games involving graphs, fixed-parameter algorithm, graph orientation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green