1. Target set selection with maximum activation time.
- Author
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Keiler, Lucas, Lima, Carlos V.G.C., Maia, Ana Karolinna, Sampaio, Rudini, and Sau, Ignasi
- Subjects
PLANAR graphs ,NP-hard problems ,BIPARTITE graphs - Abstract
A target set selection model is a graph G with a threshold function τ : V(G) → N upper-bounded by the vertex degree. For a given model, a set S 0 ⊆ V(G) is a target set if V (G) can be partitioned into non-empty subsets S 0 , S 1 ,....,S t such that, for all i∈{1,....,t}, S i contains exactly every vertex v having at least τ(v) neighbors in S 0 ∪⋯∪S i−1. We say that t is the activation time tτ(S0) of the target set S0. The problem of, given such a model, finding a target set of minimum size has been extensively studied in the literature. In this article, we investigate its variant, which we call TSS-time, in which the goal is to find a target set S0 that maximizes tτ(S0). That is, given a graph G, a threshold function τ in G , and an integer k , the objective of the TSS-time problem is to decide whether G contains a target set S 0 such that t τ (S 0)≥k. Let τ*=max V∈V(G) τ(v). Our main result is the following dichotomy about the complexity of TSS-time when G belongs to a minor-closed graph class C: if C has bounded local treewidth, the problem is FPT parameterized by k and τ*; otherwise, it is NP-complete even for fixed k = 4 and τ* = 2. We also prove that, with τ = 2, the problem is NP-hard in bipartite graphs for fixed k = 5, and from previous results we observe that TSS-time is NP-hard in planar graphs and W[1]-hard parameterized by treewidth. Finally, we present a linear-time algorithm to find a target set S0 in a given tree maximizing t τ (S 0). [ABSTRACT FROM AUTHOR]
- Published
- 2021
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