论文标题
足球跟踪网络：超越基于事件的连接
Football tracking networks: Beyond event-based connectivity
论文作者
论文摘要
我们建议将网络科学作为补充工具，以分析足球比赛中的球员和团队行为。具体来说，我们根据玩家之间的不同互动方式介绍了四种网络。我们方法的主要新颖性是使用跟踪数据集创建足球跟踪网络，而不是根据事件构建和分析传统网络。通过这种方式，我们能够捕获超越传递的玩家互动，并介绍（a）球流网络，（b）标记网络，（c）签名的接近网络和（d）功能协调网络的概念。在定义了创建每种网络的方法之后，我们使用来自Laliga Santander的四个不同匹配的跟踪数据集展示了一些示例。最后，我们讨论了足球跟踪网络的一些应用，局限性以及进一步的改进。
We propose using Network Science as a complementary tool to analyze player and team behavior during a football match. Specifically, we introduce four kinds of networks based on different ways of interaction between players. Our approach's main novelty is to use tracking datasets to create football tracking networks, instead of constructing and analyzing the traditional networks based on events. In this way, we are able to capture player interactions that go beyond passes and introduce the concepts of (a) Ball Flow Networks, (b) Marking Networks, (c) Signed Proximity Networks and (d) Functional Coordination Networks. After defining the methodology for creating each kind of network, we show some examples using tracking datasets from four different matches of LaLiga Santander. Finally, we discuss some of the applications, limitations, and further improvements of football tracking networks.
