Parameterized Vertex Integrity Revisited

Fuente: arXiv
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Main Authors: Hanaka, Tesshu, Lampis, Michael, Vasilakis, Manolis, Yoshiwatari, Kanae
Format: Preprint
Published: 2024
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_version_ 1866911853625475072
author Hanaka, Tesshu
Lampis, Michael
Vasilakis, Manolis
Yoshiwatari, Kanae
author_facet Hanaka, Tesshu
Lampis, Michael
Vasilakis, Manolis
Yoshiwatari, Kanae
contents Vertex integrity is a graph parameter that measures the connectivity of a graph. Informally, its meaning is that a graph has small vertex integrity if it has a small separator whose removal disconnects the graph into connected components which are themselves also small. Graphs with low vertex integrity are extremely structured; this renders many hard problems tractable and has recently attracted interest in this notion from the parameterized complexity community. In this paper we revisit the NP-complete problem of computing the vertex integrity of a given graph from the point of view of structural parameterizations. We present a number of new results, which also answer some recently posed open questions from the literature. Specifically: We show that unweighted vertex integrity is W[1]-hard parameterized by treedepth; we show that the problem remains W[1]-hard if we parameterize by feedback edge set size (via a reduction from a Bin Packing variant which may be of independent interest); and complementing this we show that the problem is FPT by max-leaf number. Furthermore, for weighted vertex integrity, we show that the problem admits a single-exponential FPT algorithm parameterized by vertex cover or by modular width, the latter result improving upon a previous algorithm which required weights to be polynomially bounded.
format Preprint
id arxiv_https___arxiv_org_abs_2402_09971
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Parameterized Vertex Integrity Revisited
Hanaka, Tesshu
Lampis, Michael
Vasilakis, Manolis
Yoshiwatari, Kanae
Data Structures and Algorithms
Computational Complexity
Vertex integrity is a graph parameter that measures the connectivity of a graph. Informally, its meaning is that a graph has small vertex integrity if it has a small separator whose removal disconnects the graph into connected components which are themselves also small. Graphs with low vertex integrity are extremely structured; this renders many hard problems tractable and has recently attracted interest in this notion from the parameterized complexity community. In this paper we revisit the NP-complete problem of computing the vertex integrity of a given graph from the point of view of structural parameterizations. We present a number of new results, which also answer some recently posed open questions from the literature. Specifically: We show that unweighted vertex integrity is W[1]-hard parameterized by treedepth; we show that the problem remains W[1]-hard if we parameterize by feedback edge set size (via a reduction from a Bin Packing variant which may be of independent interest); and complementing this we show that the problem is FPT by max-leaf number. Furthermore, for weighted vertex integrity, we show that the problem admits a single-exponential FPT algorithm parameterized by vertex cover or by modular width, the latter result improving upon a previous algorithm which required weights to be polynomially bounded.
title Parameterized Vertex Integrity Revisited
topic Data Structures and Algorithms
Computational Complexity
url https://arxiv.org/abs/2402.09971