paper

Spreading in graphs

arXiv:2309.16852

Abstract

Several concepts that model processes of spreading (of information, disease, objects, etc.) in graphs or networks have been studied. In many contexts, we assume that some vertices of a graph are contaminated initially, before the process starts. By the -forcing rule, a contaminated vertex having at most uncontaminated neighbors enforces all the neighbors to become contaminated, while by the -percolation rule, an uncontaminated vertex becomes contaminated if at least of its neighbors are contaminated. In this paper, we consider sets that are at the same time -forcing sets and -percolating sets, and call them -spreading sets. Given positive integers and , the minimum cardinality of a -spreading set in is a -spreading number, , of . While -forcing sets have been studied in a dozen of papers, the decision version of the corresponding graph invariant has not been considered earlier, and we fill the gap by proving its NP-completeness. This, in turn, enables us to prove the NP-completeness of the decision version of the -spreading number in graphs for an arbitrary choice of and . Again, for every and , we find a linear-time algorithm for determining the -spreading number of a tree. In addition, we present a lower and an upper bound on the -spreading number of a tree and characterize extremal families of trees. In the case of square grids, we combine some known results and new results on -spreading and -spreading to obtain for all and all .

20 pages, 5 figures

Spreading in graphs · wovepaper