计算机科学
秩(图论)
排名(信息检索)
领域(数学)
优势(遗传学)
页面排名
人工智能
弹道
竞争对手分析
理论计算机科学
数学
组合数学
管理
基因
物理
生物化学
经济
化学
纯数学
天文
作者
Joseph D. O’Brien,James P. Gleeson
出处
期刊:Journal of Complex Networks
[Oxford University Press]
日期:2020-12-01
卷期号:8 (6)
被引量:2
标识
DOI:10.1093/comnet/cnab003
摘要
Abstract A detailed analysis of matches played in the sport of Snooker during the period 1968–2020 is used to calculate a directed and weighted dominance network based upon the corresponding results. We consider a ranking procedure based upon the well-studied PageRank algorithm that incorporates details of not only the number of wins a player has had over their career but also the quality of opponent faced in these wins. Through this study, we find that John Higgins is the highest performing Snooker player of all time with Ronnie O’Sullivan appearing in second place. We demonstrate how this approach can be applied across a variety of temporal periods in each of which we may identify the strongest player in the corresponding era. This procedure is then compared with more classical ranking schemes. Furthermore, a visualization tool known as the rank-clock is introduced to the sport which allows for immediate analysis of the career trajectory of individual competitors. These results further demonstrate the use of network science in the quantification of success within the field of sport.
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