The purpose of this study was to investigate structural characteristics and participants` roles & functions of sport policy network in Korea, by social network analysis on structural characteristics of sport policy network and AHP analysis on participants` roles and functions. For that, 21 executive officers from 19 organizations and agencies related to sports policy were selected as study subjects, and, the materials collected from whole twice surveys on them were analysed by Ucinet 6 and Expert Choice 2000 program. As the results, the governmental organizations like the Blue House and Ministry of CultureㆍSports and Tourism composed the central position group of sport policy network of Korea, and took the main functions of planing and arrangement within their main roles of policy agenda formation and policy decision, so, sport policy network of Korea could be called centralized network by government. And, in cases of private agencies, Korea Sports Council composed the central position group only in policy network of professional sport, Korea Council of Sport for All of sport for all, and Korea Sports Association for the Disabled of disability sport, and, each of them took the main roles and functions of policy execution in their fields, so, it was obvious that the private agencies were divided into their own sport policy areas.
The purpose of this study was to identify the structure of knowledge in Sport Pedagogy field. Using bibliometric and social network analysis this study analyzed the keywords and citations appeared in Korean Journal of Sport Pedagogy and Korean Journal of Sport Science during 2006-2015 period. Total of 341 research papers which include 1301 keywords and 14826 citation were analyzed utilizing social network analysis as well as keywords frequency analysis, keyword co-occurrence, citation and co-ictation analysis. Results of this study showed that teaching, curriculum, and teacher education were three central theme in Sport pedagogy field. Key words such as physical activity, PE teacher, action research, and after school sport club activity were prominent research interests for scholard in the field. Quadradic Assignment Procedure analysis showed major research interests has not been changed between two periods of 2006-2010 and 2011-2015. Choi(2010)'s and You(2007)' books were most cited individual work and have influenced sport pedagogy researchers over the five years.
PURPOSE This study aimed to identify the factors influencing the success of the sports entertainment program “A Clean Sweep” using big data analysis. METHODS Text mining, sentiment analysis, TF-IDF, connection centrality, and semantic network analysis were conducted using the social big data analysis program Textom and social network analysis program Ucinet6. The research period was limited from June 6, 2022 to November 30, 2023. RESULTS The factors determining success were entertainment programs, Monday, OTT, and independent league. The events and marketing factors were extracted, and A Clean Sweep X Kelly, A Clean Sweep X Mom love, cheering song, uniforms, and direct viewing day influenced success. The new hire factors were rookie draft, Young-Mook Hwang, Sung-Joon Won, and Hyun-Soo Jeong. Positive (such as good, fun, looking forward to, best, and funny) and negative (such as esoteric, regrettable, shocking, dislike, and uncomfortable) emotional factors were also extracted. The extracted star marketing factors were directors (Seung-Yup Lee, Sung-Geun Kim) and players (Dae-Ho Lee, Geun-Woo Jung, Hee-Kwan Yoo, Moon-Ho Kim, Yong-Taek Park, Taek-Geun Lee). CONCLUSIONS We were able to identify the success factors of “A Clean Sweep”, which we hope will contribute to the revitalization of professional baseball as well as sports entertainment programs.
Previous work has shown that coaches sought information from several sources; however, there was a strong reliance on learning from other coaches within their social networks. There has been limited research examining the nature of these social networks with other coaches (Trudel and Gilbert 2004). Thus the purpose of this study was to examine the structures of coaches’ social networks of Korean rhythmic gymnasts. Research questions were: (1) What are the network structures of Korean rhythmic gymnasts’ coaches? (2) What structural parameters contribute to coaches’ network structures, and (3) Is there an association between coaches’ network and flow of information in their networks? A total of 37 coaches of youth rhythmic gymnasts (6-18 years old) participated in this study. Each of those coaches was asked to complete a Name Generator Questionnaire (i.e., list four names that you have a close relationship with) and general socio-demographic survey. Data were analyzed using social network analysis tools such as UCINET, p-net, and Quadratic Assignment Procedure. Analysis of network centrality, density, and strong components showed that (1) homophily was identified in the structure of coaches’ social networks (2) homophily (e.g., by gymnasts’ ranking, mentor coaches) contributed to the total social network of coaches, and (3) interacting only with close coaches in the network, coaches received information about coaches/coaching from the strong ties rather than weak ties (Granovetter, 1973). This study also has strong links to Wenger’s (1998) community of practice which posited that groups of people share a common characteristic in practice.
