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Network Science Based Basketball Analytics : ウィキペディア英語版 | Network Science Based Basketball Analytics
==Overview==
Network Science based basketball analytics comprise a various recent attempts to apply the perspective of networks to the analysis of basketball. Traditional basketball statistics analyze individuals independently of their teammates or competitors and traditional player positions are determined by individual attributes. In contrast, these network based analytics are obtained by constructing a team or league level player networks, where individual players are nodes connected by the ball movement or by some measure of similarity. Then the metrics are obtained by calculating network properties, such as degree, density, centrality, clustering, distance etc. This approach enriches the analysis of basketball with new individual and team level statistics and offers a new way of assigning position to a player.
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Network Science Based Basketball Analytics」の詳細全文を読む
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