Multidimensional Data Integration and Predictive Modeling of Political Stability under the Chinese Model

Political stability prediction has a profound impact on national governance, economic development and social harmony. In this paper, a political stability prediction model is constructed to provide a means of political stability prediction for China, which is developing rapidly under the Chinese model. The K-Means clustering model is improved, and the TSSAE-K-Means++ multidimensional data clustering model is constructed for multidimensional data integration preprocessing. On this basis, a political stability prediction network structure is constructed with Bayesian network as the basic theory, simplifying the computational complexity and the number of nodes of the Bayesian network to realize the dynamic prediction of political stability. In contrast to the obvious fluctuation of global political stability, China’s political stability only shows a small decrease of 0.02 in 2024, and is predicted to show a steady increase in 2025-2030. With the global continents also in the political stability of political culture stability, institutional stability, regime stability indicators are relatively stable, the average value of the indicators is 3.41, 3.55, 3.47, while the international relations and regional stability, social stability, economic stability indicator value is lower, only 2.15, 2.16, 3.14.