International Relations Influence Evaluation Model Based on Social Network Data

With the rapid development of Internet technology, online social networks have become a very popular platform for information exchange and interaction worldwide. In this digital age, various entities in international relations, such as countries, international organizations, non-governmental organizations, etc., are using social networks for information dissemination, policy promotion, and diplomatic interactions, thus forming a complex social network system. The massive amount of data contained in these social networks provides us with valuable resources for evaluating the influence of international relations. This article innovatively proposes an international relations influence evaluation model based on social network data. This model deeply integrates advanced artificial intelligence (AI) algorithms, which can efficiently extract key information from the vast social network data and accurately evaluate the influence of various international entities. AI algorithms, especially deep learning (DL) algorithms, can efficiently process social network data and reveal the structural characteristics of the network. The experimental results show that the model can not only provide objective and comprehensive impact assessment results, but also provide new perspectives and methods for international relations research.