2018/04/22 by Umberto Michieli, Michieli, Umberto
Computer Science · Economics, Econometrics and Finance · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #Complex Systems and Time Series Analysis #Data Visualization and Analytics #FOS: Computer and information sciences #FOS: Physical sciences #Networking and Internet Architecture (cs.NI) #Physics and Society (physics.soc-ph)
paper · pdf · doi:10.48550/arxiv.1804.08138
openalex publication_date 2018/04/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Who are the most significant players in the history of men tennis? Is the official ATP ranking system fair in evaluating players scores? Which players deserved the most contemplation looking at their match records? Which players have never faced yet and are likely to play against in the future? Those are just some of the questions developed in this paper supported by data updated at April 2018. In order to give an answer to the aforementioned questions, complex network science techniques have been applied to some representations of the network of men singles tennis matches. Additionally, a new predictive algorithm is proposed in order to forecast the winner of a match.