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Using network science to analyze football passing networks: dynamics, space, time and the multilayer nature of the game

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arxiv 1807.00534 v3 pith:S3NB5T6E submitted 2018-07-02 physics.soc-ph

classification physics.soc-ph
keywords networkscienceanalyzeclassicalfootballgamenatureperformance
verification ladder T0 review T1 audit T2 compute T3 formal
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From the diversity of applications of Network Science, in this Opinion Paper we are concerned about its potential to analyze one of the most extended group sports: Football (soccer in U.S. terminology). As we will see, Network Science allows addressing different aspects of the team organization and performance not captured by classical analyses based on the performance of individual players. The reason behind relies on the complex nature of the game, which, paraphrasing the foundational paradigm of complexity sciences "can not be analyzed by looking at its components (i.e., players) individually but, on the contrary, considering the system as a whole" or, in the classical words of after-match interviews "it's not just me, it's the team".

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