Strong product graphs are well-suited for modeling interconnected networks in parallel computing systems. In such networks, the strong diameter is defined as the maximum strong distance between any two vertices, which serves as a key measure of transmission efficiency. A smaller strong diameter corresponds to higher efficiency and lower latency. Optimizing this parameter can significantly enhance information transmission speed. In this paper, we form the strong product network $ K_{m_1, m_2, \ldots, m_k}\otimes P_n $ by taking the complete multipartite graph $ K_{m_1, m_2, \ldots, m_k} |\{m_{i}\geq1, i = 1, 2, \dots, k\} $ and the path $ P_n $ as the subgraphs. On this basis, we summarize and apply different strong orientation methods to investigate its maximum strong diameter. Specifically, we investigate the maximum strong diameter of $ K_{m_1, m_2, \ldots, m_k} \otimes P_n $, establishing its exact value and bounds for the cases in which $ K_{m_1, m_2, \ldots, m_k} |\{m_{i}\geq1, i = 1, 2, \dots, k\} $ does or does not admit a Hamiltonian cycle. In addition, a new algorithm is proposed to find the maximum strong diameter of $ K_{m_1, m_2, \ldots, m_k} \otimes P_n $. Through simulation experiments, we find that the high-dimensional strong product network $ K_{m_1, m_2, \ldots, m_k} \otimes P_n $ demonstrates superior information transfer efficiency when the underlying graph $ K_{m_1, m_2, \ldots, m_k} |\{m_{i}\geq1, i = 1, 2, \dots, k\} $ lacks a Hamiltonian cycle.
Citation: Ce Zhang, Feng Li. Maximum strong diameter of the strong product of complete multipartite graph and path[J]. AIMS Mathematics, 2026, 11(4): 9260-9283. doi: 10.3934/math.2026382
Strong product graphs are well-suited for modeling interconnected networks in parallel computing systems. In such networks, the strong diameter is defined as the maximum strong distance between any two vertices, which serves as a key measure of transmission efficiency. A smaller strong diameter corresponds to higher efficiency and lower latency. Optimizing this parameter can significantly enhance information transmission speed. In this paper, we form the strong product network $ K_{m_1, m_2, \ldots, m_k}\otimes P_n $ by taking the complete multipartite graph $ K_{m_1, m_2, \ldots, m_k} |\{m_{i}\geq1, i = 1, 2, \dots, k\} $ and the path $ P_n $ as the subgraphs. On this basis, we summarize and apply different strong orientation methods to investigate its maximum strong diameter. Specifically, we investigate the maximum strong diameter of $ K_{m_1, m_2, \ldots, m_k} \otimes P_n $, establishing its exact value and bounds for the cases in which $ K_{m_1, m_2, \ldots, m_k} |\{m_{i}\geq1, i = 1, 2, \dots, k\} $ does or does not admit a Hamiltonian cycle. In addition, a new algorithm is proposed to find the maximum strong diameter of $ K_{m_1, m_2, \ldots, m_k} \otimes P_n $. Through simulation experiments, we find that the high-dimensional strong product network $ K_{m_1, m_2, \ldots, m_k} \otimes P_n $ demonstrates superior information transfer efficiency when the underlying graph $ K_{m_1, m_2, \ldots, m_k} |\{m_{i}\geq1, i = 1, 2, \dots, k\} $ lacks a Hamiltonian cycle.
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