Introduction: Fatigue impairs exercise activity in high school students, and it is detrimental to explore aerobic training when fatigue cannot be alleviated. This factor limits the ability to exploit the full potential of young athletes for soccer. Objective: Implement a healthy development protocol for soccer application in high school. Methods: This article used a literature review among other research methods. The analysis was devoted to aerobic training for endurance in soccer for students in high school. The specific methods of implementing the developed protocol in high schools were studied. Finally, effective measures for improving students' physical fitness were presented. Results: Judging from the situation, the duration of each training session in high school soccer is closely related to the coaches' ability. High-level coaches tend to organize the duration of training according to the perceived effects in soccer practice, considering the physical and technical characteristics of the sport itself. Conclusion: Soccer endurance training can also promote the long-term development of soccer education while meeting students' actual exercise needs. It is important to carry out soccer aerobic training applied to high school. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

In order to improve the integrity of the social network behavior feature extraction results for sports college students, this study proposes to be based on the clustering algorithm. This study analyzes the social network information dissemination mechanism in the field of college students’ sports, obtains the real-time social behavior data in the network environment combined with the analysis results, and processes the obtained social network behavior data from two aspects of data cleaning and de-duplication. Using clustering algorithm to determine the type of social network user behavior, setting the characteristics of social network behavior attributes, and finally through quantitative and standardized processing, get the results of college students’ sports field social network behavior characteristics extraction. The experimental results showed that the completeness of the method feature extraction results improved to 9.93%, and the average extraction time cost was 0.344 s, with high result integrity and obvious advantages in the extraction speed.