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Abstract ▼ AI-Helper

The purpose of this study was to analyze networks of physical education department members of university through social network analysis. In order to achieve purpose of this study, subject has selected all freshman of physical education department of D university excluded students who were temporary...

The purpose of this study was to analyze networks of physical education department members of university through social network analysis. In order to achieve purpose of this study, subject has selected all freshman of physical education department of D university excluded students who were temporary absence from school, and athletic students. The results of the study were as follows; First, it was found LJH as person who had the highest centrality in information collection network, and it was found CNIIC, KHC, and SHJ as persons who had the highest centrality in the friendly network of physical education department of D university. Second, out degree of centralization was 11.574%, in degree of centralization was 28.704% in information collection network, and out degree of centralization was 23.457%, in degree of centralization was 14.892% in friendly network of physical education department of D university. Third, density of information collection network was 0.2162, density of friendly network was 0.5300 in physical education department of D university. Fourth, it was found that there were 72 ties and 4 structural equivalence groups in information collection network of physical education department of D university. Finally, it was found that there were 177 ties and 4 structural equivalence groups in friendly network of physical education department of D university.

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