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

사회연결망 분석을 활용한 축구경기 패스분석

  • Lee, Hee-Hwa (Dept. of Sport industry, Sangmyung University) ;
  • Kim, Ji-Eung (Dept. of Sport industry, Sangmyung University) ;
  • Park, Jong-Chul (Dept. of Sport Science, Korea Institute of Sports Science)
  • 이희화 (상명대학교 스포츠산업학과) ;
  • 김지응 (상명대학교 스포츠산업학과) ;
  • 박종철 (한국스포츠개발원 스포츠과학실)
  • Received : 2017.06.01
  • Accepted : 2017.07.20
  • Published : 2017.07.28

Abstract

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.

Keywords

Social Network Analysis;Centrality;Football;Pass;Match analysis

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