Quantifying the performance of individual players in a team activity.
Quantifying the performance of individual players in a team activity.
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DOI：
10.1371/journal.pone.0010937
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发表时间：
2010-06-16
期刊：
影响因子：
3.7
通讯作者：
Amaral LA
中科院分区：
文献类型：
--
作者：
Duch J;Waitzman JS;Amaral LA
团队合作是许多人类活动的基本方面，从商业到艺术，从体育到科学。最近的研究表明，团队合作对尖端科学研究至关重要，但人们对团队合作如何带来更大的创造力知之甚少。事实上，对于许多团队活动来说，如何为团队成员个人分配信用甚至都不清楚。值得注意的是，至少在体育的背景下，对于谁是最好的表演者，以及什么是合格的杰出表现，通常会有广泛的共识。为了确定个体特征如何量化，并作为其他基于团队的人类活动的试验台，我们分析了2008年欧洲杯足球锦标赛球员的表现。我们开发了一种网络方法，提供了对单个球员的贡献和整体团队表现的强大量化。我们假设，我们方法的概括性在量化单个团队成员的贡献很重要的其他环境中可能很有用。
Teamwork is a fundamental aspect of many human activities, from business to art and from sports to science. Recent research suggest that team work is of crucial importance to cutting-edge scientific research, but little is known about how teamwork leads to greater creativity. Indeed, for many team activities, it is not even clear how to assign credit to individual team members. Remarkably, at least in the context of sports, there is usually a broad consensus on who are the top performers and on what qualifies as an outstanding performance. In order to determine how individual features can be quantified, and as a test bed for other team-based human activities, we analyze the performance of players in the European Cup 2008 soccer tournament. We develop a network approach that provides a powerful quantification of the contributions of individual players and of overall team performance. We hypothesize that generalizations of our approach could be useful in other contexts where quantification of the contributions of individual team members is important.
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