Target set selection problem for honeycomb networks
Chun-Ying Chiang, Liang-Hao Huang, Hong-Gwa Yeh

TL;DR
This paper determines the minimum size of initial seed sets needed to activate all vertices in honeycomb networks under a majority threshold, providing exact solutions and feedback vertex sets for various honeycomb graph classes.
Contribution
It offers exact values for optimal target sets in honeycomb networks with strict majority thresholds, and introduces minimum feedback vertex sets for these graphs.
Findings
Exact target set sizes for various honeycomb networks
Minimum feedback vertex sets identified for regular honeycomb graphs
Enhanced understanding of activation processes in honeycomb structures
Abstract
Let be a graph with a threshold function such that for every vertex of , where is the degree of in . Suppose we are given a target set . The paper considers the following repetitive process on . At time step 0 the vertices of are colored black and the other vertices are colored white. After that, at each time step , the colors of white vertices (if any) are updated according to the following rule. All white vertices that have at least black neighbors at the time step are colored black, and the colors of the other vertices do not change. The process runs until no more white vertices can update colors from white to black. The following optimization problem is called Target Set Selection: Finding a target set of smallest possible size such that…
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