Name
Abstract | ||
|---|---|---|
We explore the relationship between official rankings of professional tennis players and rankings computed using a variant of the PageRank algorithm as proposed by Radicchi in 2011. We show Radicchi's equations follow a natural interpretation of the PageRank algorithm and present up-to-date comparisons of official rankings with PageRank-based rankings for both the Association of Tennis Professionals (ATP) and Women's Tennis Association (WTA) tours. For top-ranked players these two rankings are broadly in line; however, there is wide variation in the tail which leads us to question the degree to which the official ranking mechanism reflects true player ability. For a 390-day sample of recent tennis matches, PageRank-based rankings are found to be better predictors of match outcome than the official rankings. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-36781-6_17 | EPEW/UKPEW |
Field | DocType | Citations |
PageRank,Information retrieval,Ranking,Computer science,Pagerank algorithm,Artificial intelligence | Conference | 1 |
PageRank | References | Authors |
0.38 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicholas J. Dingle | 1 | 137 | 11.49 |
| William Knottenbelt | 2 | 87 | 8.60 |
| Demetris Spanias | 3 | 2 | 0.79 |