Complex Network Analysis of Men Single ATP Tennis Matches
April 22, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Umberto Michieli
arXiv ID
1804.08138
Category
physics.soc-ph
Cross-listed
cs.AI,
cs.NI
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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