부산대학교 도서관

This study aims to find out the network structure, influence and progress of the network, by analyzing the network of Korean Society for Rhythmic Exercise(KSRE) using the social network analysis structure. For this study, we collected the text data of the titles and authors(affiliations) of 65 papers in 2010-2015 published on the KSRE online journal web site. The data analysis and visualization were performed by social network analysis tool, Node XL, by Microsoft. Also, the influences of authors and their groups were investigated by applying the weight factors depending on the importance of authors, and the network size was analyzed by Eigenvector Centrality, Betweenness Centrality and Closeness Centrality. The results show that the influence under the application of the weight factors is bigger in the ‘Kim, Eunhye" and "Kangwon National University" than the other authors and their affiliations. In terms of the network size, "Choi, Young-jun" and "Dongnam Health College" was the biggest. "Seo, Han-kyo" and "Shinhan University" was doing the role of the midium connecting authors. In conclusion, since the research performance of KSRE is low compared to other academic societies, the efforts to expand the authors and their affiliations are required in the future.