Combat Network Dynamics Prediction Method Based on the HoGRC Algorithm

Modern warfare applications of combat networks have endowed military operations with holistic effectiveness. However, due to the complexity and uncertainty of the battlefield environment, commanders often struggle to grasp the underlying combat network. If the trends in the state changes of enemy combat network nodes can be mastered, it becomes possible to identify critical enemy targets, disrupt information transmission, and anticipate enemy intentions, thereby achieving the operational objective of dismantling the network to swiftly paralyze the enemy's combat system. This study innovatively applies the latest HoGRC algorithm to the precise dynamic prediction of combat networks in a military context for the first time. Experimental results demonstrate the effectiveness of the proposed method, indicating that the HoGRC algorithm holds great promise in the field of combat networks and provides a feasible direction for future research.