Purpose: This study aimed to analyze the network structures of occupation in performing daily life activities using social network analysis among stroke patients. Methods: The study subjects were 40 stroke patients. Based on the social network analysis, the network distribution, network centrality, cohesion structures were conducted to analyze performance structures of the occupational network. The performance of occupation was set as the activities which the subjects are performing in their daily life and it was measured using 45 items of the Time Use Survey of Statistics Korea. The level of satisfaction was used as the weight of network analysis. Results: The activities with high values of degree, betweenness, and eigenvector centrality showed “personal health care” acitivey was showed as the activity with the highest values of degree, betweenness, and eigenvector centrality. Conclusion: This study’s results bear clinical significance in understanding the occupational network structures among stroke patients from a relational perspective and provide a knowledge system for the relationships and patterns of occupational performance. Furthermore, these provide insights into participating in, integrating, and enhancing occupational performance within the contexts of occupational therapy and education. Accordingly, it can serve as guidelines for establishing intervention plans and setting goals for stroke patients.