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- W953444893 abstract "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." @default.
- W953444893 created "2016-06-24" @default.
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- W953444893 date "2012-03-10" @default.
- W953444893 modified "2023-09-26" @default.
- W953444893 title "A network-based dynamical ranking system" @default.
- W953444893 hasPublicationYear "2012" @default.
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