Research on team efficacy in CBA games based on complex network theory

Using complex network theory, we quantify the topological characteristics and anti-destruction resilience of the 12 playoff teams that contested the 2023 Chinese Basketball Association (CBA) season. By constructing similarity networks based on players' performance indicators, this study examines various topological features, including node degree, betweenness centrality, clustering coefficient, and average path length, and assesses their robustness under random and deliberate attacks.The results indicate that the structural balance of the network exerts a significant influence on a team's resilience. For example, the Liaoning Bensteel team exhibited high network connectivity and resilience, with an average node degree of 11, a clustering coefficient of 0.83, and an average path length of 0.72. In contrast, the Jiangsu Kendia demonstrated greater structural vulnerability when key nodes were compromised, possessing a maximum node degree of 10, but a clustering coefficient of only 0.74, leading to an increased average path length of 1.17. Furthermore, teams with high clustering coefficients, such as Shandong High-Speed, which achieved a coefficient of 0.82, exhibit close internal cooperation and efficient ball movement.Consequently, it is recommended that CBA teams enhance their resilience by improving the balance and redundancy of key nodes within their network structures, thereby providing a scientific basis for basketball tactical planning and team management. These findings offer a novel perspective on understanding and enhancing the organizational structure and competitive performance of basketball teams.