Parameterized Complexity of (d,r)-Domination via Modular Decomposition

Fuente: arXiv
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Main Authors: Cordasco, Gennaro, Gargano, Luisa, Rescigno, Adele A.
Format: Preprint
Published: 2024
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author Cordasco, Gennaro
Gargano, Luisa
Rescigno, Adele A.
author_facet Cordasco, Gennaro
Gargano, Luisa
Rescigno, Adele A.
contents With the rise of social media, misinformation has significant negative effects on the decision-making of individuals, organizations and communities within society. Identifying and mitigating the spread of fake information is a challenging issue. We consider a generalization of the Domination problem that can be used to detect a set of individuals who, through an awareness process, can prevent the spreading of fake narratives. The considered problem, named \textsc{$(d,r)$-Domination} generalizes both distance and multiple domination. We study the parameterized complexity of the problem according to standard and structural parameters. We give fixed-parameter algorithms as well as polynomial compressions/kernelizations for some variants of the problem and parameter combinations.
format Preprint
id arxiv_https___arxiv_org_abs_2412_15671
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Parameterized Complexity of (d,r)-Domination via Modular Decomposition
Cordasco, Gennaro
Gargano, Luisa
Rescigno, Adele A.
Computational Complexity
Discrete Mathematics
Data Structures and Algorithms
Combinatorics
With the rise of social media, misinformation has significant negative effects on the decision-making of individuals, organizations and communities within society. Identifying and mitigating the spread of fake information is a challenging issue. We consider a generalization of the Domination problem that can be used to detect a set of individuals who, through an awareness process, can prevent the spreading of fake narratives. The considered problem, named \textsc{$(d,r)$-Domination} generalizes both distance and multiple domination. We study the parameterized complexity of the problem according to standard and structural parameters. We give fixed-parameter algorithms as well as polynomial compressions/kernelizations for some variants of the problem and parameter combinations.
title Parameterized Complexity of (d,r)-Domination via Modular Decomposition
topic Computational Complexity
Discrete Mathematics
Data Structures and Algorithms
Combinatorics
url https://arxiv.org/abs/2412.15671