Abstract

The advancement of globalization has led to increasingly close exchanges between countries, and in this environment, it is crucial for countries to grasp the development motivations of other countries in time to seize development opportunities. Motivation, as an intrinsic drive that determines behavior, is abstract in nature, it is difficult to measure and assess directly on the motivation itself. To address this problem, this paper improves Friedkin’s socio influence model that has been applied to motivational descriptions, constructs dynamic alliance and hostile matrices and sensitivity matrices based on open-source data with the United States and China as the core, to remotely assess the process of change in motivation of countries under the influence of international relations. Taking integrated circuit as the analysis case, it is found that after the evolution, the development motivation of most countries shows a decreasing trend, the development motivation of the United States remains at a high level, and the development motivation of China maintains a continuous upward trend in recent years; finally, the comparison with the real data reveals that the assessment results can reflect the motivation changes of the countries to a certain extent.

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