| 社会网络分析在团队运动表现中的应用:研究综述 |
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| 引用本文： | 张岩,杨改生.社会网络分析在团队运动表现中的应用:研究综述[J].中国体育科技,2022(1). |
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| 作者姓名： | 张岩 杨改生 |
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| 作者单位： | 河南大学 |
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| 基金项目： | 河南省软科学研究项目(21240010387)。 |
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| 摘 要： | 描述和评价了社会网络分析在团队运动表现中的应用情况。研究采用引文追溯法对文献进行检索,共进行5轮,检索引文3 698篇,最终有74篇文献纳入研究。研究显示,社会网络分析在团队运动表现中的应用是一个新兴现象,相关研究呈现出快速发展的趋势。在已有的实证研究中,将团队运动中的互动行为概念化为一个网络,并从宏观、中观和微观的视角分别概述了网络结构对认识团队运动互动行为的有用见解,验证了社会网络分析在足球等8个不同团队运动中应用的可行性。社会网络分析作为传统运动标注分析的补充被证明是一种有效的研究工具,改变了原有方法将比赛事件从比赛环境中独立出来的研究范式。在对球员互动结构静态属性分析的基础上,未来研究应进一步深入讨论这种互动结构的动态属性,以及多重网络对团队表现的影响。
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| 关 键 词： | 社会网络分析 团队运动 运动表现 |
The Application of Social Network Analysis in Team Sports Performance:A Review |
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| ZHANG Yan,YANG Gaisheng.The Application of Social Network Analysis in Team Sports Performance:A Review[J].China Sport Science and Technology,2022(1). |
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| Authors: | ZHANG Yan YANG Gaisheng |
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| Institution: | (Henan University,Kaifeng 475001,China) |
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| Abstract: | The main purpose of the research is to describe and evaluate the application of social network analysis in team performance. The research used the citation trace method to search the literature for 5 rounds and retrieved 3 698 citations. Finally, 74 articles were included in the research. The results show that the application of social network analysis in team sports performance is an emerging phenomenon, and related research shows a trend of rapid development. In the existing empirical research, the researchers conceptualize the interaction behavior in team sports into a network and summarized the useful views of network structure on understanding the interactive behavior of team sports from the macro, meso and micro perspectives respectively, which verified the feasibility of applying social network analysis in eight different team sports, such as football. As a supplement to the traditional sport notational analysis, social network analysis has proved to be an effective research tool, changing the research paradigm of the previous methods to separate the game events from the competitive environment. Based on the analysis of the static attributes of the player interaction structure, future research will further discuss the dynamic attributes of this interaction structure and the impact of multiplex networks on team performance. |
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| Keywords: | social network analysis team sports sports performance |
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