Simulation of the interactive prediction of contemporary social change and religious socialization based on big data

Abstract

Religious interaction, supported by effective theories and practical approaches, can be influenced by the social environment, resulting in differing religious paths and characteristics with changes in society. The acceleration of population aging directly affects personal consumption and indirectly affects economic development. By analyzing big data, this paper examines and predicts the interaction between contemporary social change and religionization. Through statistical analyses of cultivated land and urbanization rate data, a strong negative correlation is revealed between GDP development level and cultivated land area. The correlation coefficient between these variables can reach −0.9258, indicating that they are closely related. There is also a high positive correlation between urbanization rate and the natural logarithm of fixed asset investment, with a correlation coefficient of 0.9417. Urbanization rate has the greatest impact on fixed asset investment. Religious interaction not only maintains and cultivates political culture and improves individuals' political quality and ability but also facilitates the development of political identity, which can effectively promote social change in China.