Research on the application of biomechanics based on clustering algorithm in the path of international political communication

This study presents a new approach combining biomechanical models and clustering algorithms for the analysis of international political communication pathways. The effectiveness of simulation method in revealing information propagation paths and key nodes in political events. The study first reviews the application of biomechanical models and clustering algorithms in multiple fields, based on which we construct a propagation path model combining biomechanical and cluster analysis. Experimental results show that the proposed method outperforms traditional clustering algorithms in terms of clustering accuracy, propagation efficiency and stability. In particular, in specific political events, the transmission paths exhibit significant clustering effects, mainly focusing on several key nodes with high transmission potential, highlighting the non-linear characteristics of the propagation process. The transmission efficiency of the transmission pathway based on the biomechanical model reached 88.4%, which is much higher than the traditional transmission pathway of 73.2%. Although biomechanical clustering algorithms run longer when dealing with large-scale networks, their accuracy and stability are significantly better than conventional algorithms. This study provides a new analytical tool and theoretical framework for the field of international political communication, and reveals the influence of network structure on the transmission path.