디지털융복합연구 (Journal of Digital Convergence)

  • 제17권9호
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  • Pages.471-477
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  • 2019
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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사회연결망 이론을 활용한 여자필드하키 패스분석

Women's Field Hockey Pass Analysis using Social Network Theory

  • Choi, Eun-Young (Department of Physical Education, Dankook University) ;
  • Kim, Ji-Eung (Department of Physical Education, Sangmyung University) ;
  • Lee, Seung-Hun (Department of Physical Education, Dankook University) ;
  • Park, Jong-Chul (Department of Sport Science, Korea Institute of Sport Science)
  • 투고 : 2019.06.24
  • 심사 : 2019.09.20
  • 발행 : 2019.09.28
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초록

본 연구는 필드하키 경기에서 선수들의 패스를 통하여 예선경기와 본선경기, 승리경기와 패배경기로 나누어 핵심선수와 공격패턴을 확인하는 것이다. 대한민국 여자하키대표팀이 출전한 월드리그 파이널 전체 6경기를 대상으로 1차적으로 모든 패스를 스포츠코드를 활용하여 분석을 하였고, 2차적으로 R프로그램을 활용하여 사회연결망분석을 하여 중심성 분석을 하였다. 연구결과는 첫번째로 예선경기는 본선경기보다 연결중심성이 낮고, 근접중심성은 같으며, 사이중심성은 높은 것으로 나타났다. 두 번째 승리경기는 패배한 경기보다 연결중심성이 낮고, 근접중심성은 같으며, 사이중심성은 높은 것으로 나타났다. 이는 대한민국 여자하키 대표팀은 예선경기에서 패스를 통한 공격패턴보다는 속공을 통한 패턴을 활용하며, 속공을 통한 공격이 가능할 때 승리한 것으로 나타났다. 이러한 연구를 바탕으로 현장에서 경기력을 분석하는데 하나의 방법으로 활용되기를 기대한다.

The purpose of this study is to analyse the attacking pattern of the key player through plenty of passes on field hockey between the winning games and losing ones through the preliminary game and the tournament. It has shown that the Korean women national team on field hockey is analysed all the passes through the sportscode for the 6 games of the World-League Final, and is investigated the centrality through the social network analysis using the R analytic software. The result is followed : First, It has shown three tendencies on the preliminary games that it has shown a lower Degree-Centrality, a same with Closeness, and a higher Betweenness than the tournament. Second, It has also described on winning games that it has explained a lower Degree-Centrality, a same with Closeness, and a higher Betweenness than losing games. On the conclusion, it has revealed that Korean women national team on field hockey showed a tendency that prefer to use a counter-attacking. Based on these study, expect to be used as a way to analyze performance in the field.

키워드

참고문헌

  1. K. M. Lee. (2010). The Influence of Competition Strategy and Teamwork of Male Basketball Players on Performance. Korean Journal of Sociology of Sport. 23(4), 45-60. https://doi.org/10.22173/jksss.2010.23.4.45
  2. Y. G. Kim. (2012). An Analysis of Performance for National Female Hockey Team Using GPS and SportsCode in Korea Japan Hockey Games. Doctoral dissertation. Kangwon University.
  3. E. Y. Choi. (2015). Classification of tactical play based on situations-in-play of world top class women's hockey teams. Master's Thesis. Korea National Sport University.
  4. H. J. Chun & G. Kim. (2011). Moving Distance and Activity in Sprint Section Based Upon Hockey Game Results. Journal of Korean Physical Education Association for Girls and Women. 25(1), 143-155.
  5. S. K. Min, S. T. Lim, J. H. Song, H. S. Song & Y. S. Kim. (2015). The Analysis of Movement in Korean National Women's Field Hockey Players Regarding Positions Using Real-Time GPS Monitoring. Korean Journal of Sport Science, 26(3), 634-642. https://doi.org/10.24985/kjss.2015.26.3.634
  6. H. K. Choi. (2018). The association between game-related running loads recorded using global positioning system and non-contact injuries of lower extremities and the development of an injury prediction model. Doctoral dissertation. Korea National Sport University.
  7. S. Subramaniam, M. A. Almoqry, S. Thavamani, R. Canda, M. Othman & Z. Zulkarnain. (2010). A Wireless Sensor Network for Field Hockey Performance Analysis. In book: Convergence and Hybrid Information Technologies.
  8. T. J. Gabbett. (2010) GPS analysis of elite women's field hockey training and competition. Journal of strength and conditioning research. 24(5), 1321-1324. https://doi.org/10.1519/JSC.0b013e3181ceebbb
  9. Y. H. Kim. (2106). Social Network Analysis. PAKYOUNGSA book.
  10. S. D. Kim, T. Y. Seong, D. M. Lee & M. H. Lee, (2016). Analysis of Network for Asian Cup Soccer Final based on Social Network Theory : Based on Centrality Indexes. The Korea Contents Society, 16(5), 205-216.
  11. S. H. Kim, S. J. Kang, J. H. Park & H. J. Kim, (2008). The Factor of Victory and Defeat through Analyzing the Data of the Pro-basketball. The Korean Journal of Measurement and Evaluation in Physical Education and Sport Science, 10(1), 1-12. https://doi.org/10.21797/KSME.2008.10.1.001
  12. H. KATZMAIR. (2004). Social Network Analysis - The Science of Measuring, Visualizing and Simulating Social Relationships. In: Timeshift, Ars Electronica Festival, Linz, 207-211.
  13. J. Ribeiro, P. Silva, R. Duarte, K. Davids & J. Garganta. (2017). Team sports performance analysed through the lens of social network theory: implications for research and practice. Implications for research and practice. Sports Medicine, 47(9), 1689-1696. https://doi.org/10.1007/s40279-017-0695-1
  14. H. J. Kim. (2007). Notational Analysis of Sports using Social Network Analysis. The Korean Journal of Measurement and Evaluation in Physical Education and Sport Science, 9(1), 99-112. https://doi.org/10.21797/ksme.2007.9.1.008
  15. S. B. Choi, C. W. Kang, H. J. Choi & B. Y. Kang. (2011). Social network analysis for a soccer game. Journal of the Korean Data & Information Science Society, 22(6), 1053-1063.
  16. B. U. Kang, M. K. Huh & S. B. Choi. (2015). Performance analysis of volleyball games using the social network and text mining techniques. Journal of the Korean Data & Information Science Society, 26(3), 619-630. https://doi.org/10.7465/jkdi.2015.26.3.619
  17. M. Y. Kim. (2018). Notational analysis of women's handball on olympic using Passnetwork. Master's Thesis. Korea National Sport University.
  18. J. W. Lim. (2009). Indices of analysis for performance evaluation in field-hockey. Doctoral dissertation. Korea National Sport University. Seoul
  19. J. E. Kim, S. M. Lee, J. C. Park & H. H. Lee. (2018). A Study on Women's Field Hockey Centrality Analysis using Social Network Theory. Journal of Digital Convergence, 16(9), 437-442. https://doi.org/10.14400/JDC.2018.16.9.437
  20. J. S. Cho. (2013). Analysis on Athletic Performance of Sports based on Pass. Journal of the Korean Data Analysis Society, 15(3), 1381-1389.