Achieving Efficient Team Cooperation Based on the Passing Social Network Model

This paper designs a social networkmodel based on the passing between players and a team cooperation model based on principal component factor analysis, which solves the problem of how to use team strategy to make team cooperation easier to succeed. The first task is to design a social network model based on passing between players. Firstly, by sorting and analyzing the existing data, the data is processed by using python to produce a heatmap of the player’s pass and catch position to get a general idea of a player’s on-court occupation overall; secondly, start with the macro game, the team’s passing characteristics are analyzed to obtain the overall pass network diagram, and then the local network is analyzed microscopically, and the data is visualized by python to obtain the local network diagram; thirdly, we summarize the structural characteristics and identification methods of each network. Finally, we summarize that to design a more effective team, we need cohesion, trust and respect among members. And comprehensive evaluation of the entire model provides a good solution to the actual problem.