Year: 2025
Type: article
Abstract: This study analyzes pass networks in football (soccer) using a stochastic model known as the Pólya urn. By focusing on preferential selection, it theoretically demonstrates that the time evolution of networks can be characterized by a single parameter. Building on this result, a data analysis method is proposed and applied to a large-scale public dataset of professional football matches. The statistical properties of the preferential-selection parameter are examined, demonstrating its correlation with pass accuracy and with mean pass difficulty. This method is applicable to various evolving networks.
Source: Physical review. E
DOI: 10.1103/w5wk-mmcc
Author: Ken Yamamoto
Institution: University of the Ryukyus
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Award: 優先的選択モデルに基づく球技のパス回しの分析
OpenAlex ID: W4416023939
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