Research Abstract


A network-based dynamical ranking system for competitive sports

2012年12月5日 Scientific Reports 2 : 904 doi: 10.1038/srep00904


茂木 隼1 & 増田 直紀1, 2

  1. 東京大学 大学院情報理工学系研究科
  2. 独立行政法人 科学技術振興機構 戦略的創造研究推進事業 さきがけ(JST-PRESTO)
From the viewpoint of networks, a ranking system for players or teams in sports is equivalent to a centrality measure for sports networks, whereby a directed link represents the result of a single game. Previously proposed network-based ranking systems are derived from static networks, i.e., aggregation of the results of games over time. However, the score of a player (or team) fluctuates over time. Defeating a renowned player in the peak performance is intuitively more rewarding than defeating the same player in other periods. To account for this factor, we propose a dynamic variant of such a network-based ranking system and apply it to professional men's tennis data. We derive a set of linear online update equations for the score of each player. The proposed ranking system predicts the outcome of the future games with a higher accuracy than the static counterparts.