Integration of social network analysis and the construction of decision-making system for optimising the performance of university student clubs

Ziwen Zhang; Qi Wang

doi:10.54097/7ys5se26

Authors

Ziwen Zhang
Qi Wang

DOI:

https://doi.org/10.54097/7ys5se26

Keywords:

diversion models, performance management, work efficiency, social network analysis (SNA), association performance optimization, cohesive subgroups.

Abstract

College clubs are organisations approved by the school, guided by teachers and voluntarily participated by students based on common duties or interests. Effective performance management not only enhances the efficiency of clubs, but also develops human resources more fully, promotes team building and strengthens the cohesion of college students. To this end, this paper proposes a decision-making system that integrates social network analysis (SNA) to generate resource allocation strategies by quantifying members' social influence and club structure characteristics, and combining with a machine learning model to predict performance ratings. The impact of performance management on the operation of college clubs is explored in depth through interviews with the person in charge of performance management of student clubs and club members, and the four processes of college club operation are analysed in terms of performance management to verify its impact on the operation of club management systems. The study used questionnaires and principal component analysis to analyse team performance management in depth and put forward relevant recommendations.

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