디지털융복합연구 (Journal of Digital Convergence)

  • 제15권7호
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  • Pages.479-487
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  • 2017
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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 분석을 활용한 축구경기 패스분석

A Study on the Pass Analysis of Football Game using Social Networking Analysis

  • 이희화 (상명대학교 스포츠산업학과) ;
  • 김지응 (상명대학교 스포츠산업학과) ;
  • 박종철 (한국스포츠개발원 스포츠과학실)
  • 투고 : 2017.06.01
  • 심사 : 2017.07.20
  • 발행 : 2017.07.28
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초록

본 연구의 목적은 사회연결망 분석을 축구경기에 적용하여 가장 영향력 있는 선수를 파악하는데 목적이 있다. 연구대상은 2014 브라질월드컵에 참가한 독일 축구 국가대표팀과 대한민국 축구 국가대표팀이며, FIFA에서 제공한 선수별 패스 데이터를 수집하고 Ucinet 6 프로그램을 사용하여 사회연결망분석과 패스 성공률을 분석하였다. 연구결과 다음과 같은 결론을 얻었다. 첫째, 패스를 많이 주고받은 선수는 패스 연결 네트워크에서 연결 중심성이 높았고, 선수들과의 근접 중심성도 높게 나왔다. 둘째, 독일은 LAHM과 KROOS가 주요 선수로 나타났으며, 대한민국은 KI.S.Y 선수가 주요 선수로 나타났다. 셋째, 근접 중심성과 패스 성공률의 정량적 지표는 독일이 대한민국에 비하여 높은 것으로 나타났다.

The purpose of this study was to identify the most influential soccer players by appling social network analysis. The subjects were the German national soccer team and the Korean national soccer team participated in the 2016 Brazil World Cup. The pass collected data provided by FIFA were analyzed by social network analysis using the Ucinet6 program and pass success rate. The results are as follows. First, the soccer player with a lot of passes had a high connection centrality in pass-through networks and high proximity. Second, the German national soccer team has appeared key players as Phillip Lahm and Kroos player, and a key player of the Korean national soccer team was Ki,S.Y. Third, the German national soccer team's quantitative indicator value of proximity center and pass success rate appeared higher than the Korean national soccer team's.

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참고문헌

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