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Mathematical analysis uncovers structural vulnerability metrics in composite graph operations, suggesting broad utility in power networks and medicine.
The study of graph vulnerability parameters provides valuable insights into the structural stability and resilience of networks when there is a disruption. The strong hotspot domination integrity ( DISH ) is one such measure, combining domination, integrity, and heatmap centrality into a single context that captures both control and resilience of a network. It is defined as DISH(G)=min \|SSH|+m(G-SSH): SSH\ and the parameter is taken over all strong hotspot dominating sets SSH , where domination is governed by the heatmap centrality condition ensuring that for every vertex u∈ V(G)-SSH , there exists v∈ SSH such that HC(v)≥ HC(u) . In this paper, we investigate the strong hotspot domination integrity for three important graph operations: the corona product, the shadow graph, and the comb product of certain graphs and understand how the parameter behaves under structural transformations. Moreover, we present few applications of strong hotspot domination integrity in acupuncture, electric power networks, and medicine.
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Antony et al. (2026) studied this question.
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