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We present a complex network approach to depict representative spatial arrangements of association football (soccer) teams. It is designed to mitigate issues that arise with average locations, which are currently the most common choice. Our approach uses proximity networks, affiliation networks, and a network model of social influence to reduce spatial concentration bias and amplify the main positioning signals. Example applications include the display of enacted formations, and the placement of players in passing networks.

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An Inverse Problem of Social Influence for Spatial Reference Positions in Soccer

  • 会议论文

  • 发表日期：

    2026年

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  • Ulrik Brandes,
  • Hugo Fabrègues,
  • Hadi Sotudeh,
  • Gordana Marmulla

摘要

We present a complex network approach to depict representative spatial arrangements of association football (soccer) teams. It is designed to mitigate issues that arise with average locations, which are currently the most common choice. Our approach uses proximity networks, affiliation networks, and a network model of social influence to reduce spatial concentration bias and amplify the main positioning signals. Example applications include the display of enacted formations, and the placement of players in passing networks.