Madupuri Reddy Priya

Abstract Identifying the most prominent nodes in complex networks becomes more critical for applications such as information propagation, epidemic control, and network robustness. In network structure analysis, centrality measures typically use the network’s intrinsic topological structure and fail to capture the nonlinear dependencies between nodes structural features and their spreading ability under dynamic transmission scenarios.