Construction of International Sports Communication Influence Model Based on Data Mining

In the context of globalization, international sports communication, as an important bridge for cultural exchange, has a cross-border influence and is increasingly becoming an important force in promoting global cultural integration and development. With the rapid popularization of mobile Internet and intelligent terminals, various online social network platforms have risen rapidly, which has greatly enriched the forms and channels of sports communication, as well as produced massive and complex data. These data contain rich information, which is of great significance for a deeper understanding of the internal mechanisms of international sports communication and evaluating its influence. In view of this, this article deeply explores the potential application of data mining (DM) technology in the field of international sports communication, aiming to construct a scientific and systematic international sports communication influence model. The experimental results show that the DM based international sports communication influence model constructed in this paper exhibits high accuracy and effectiveness in predicting sports communication effects, evaluating brand influence, and optimizing communication strategies, laying a solid foundation for in-depth research and widespread application of international sports communication.