This PhD project aims to develop a methodology combining temporal networks, hypergraphs, and AI algorithms to analyze dynamic interactions and identify key nodes. It will use machine and deep learning on large datasets to detect patterns and interdependencies, enhancing understanding in sports performance analysis and biological interaction analysis.