Time-dependent network algorithm for ranking in sports

London András and Németh József and Németh Tamás: Time-dependent network algorithm for ranking in sports. In: Acta cybernetica, (21) 3. pp. 495-506. (2014)

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Abstract

In this paper a novel ranking method which may be useful in sports like tennis, table tennis or American football, etc. is introduced and analyzed. In order to rank the players or teams, a time-dependent PageRank based method is applied on the directed and weighted graph representing game results in a sport competition. The method was examined on the results of the table tennis competition of enthusiastic sport-loving researchers of the Institute of Informatics at the University of Szeged. The results of our method were compared by several popular ranking techniques. We observed that our approach works well in general and it has a good predictive power.

Item Type: Article
Journal or Publication Title: Acta cybernetica
Date: 2014
Volume: 21
Number: 3
ISSN: 0324-721X
Page Range: pp. 495-506
Language: English
Place of Publication: Szeged
Event Title: Symposium on Programming Languages and Software Tools (2013) (Szeged)
Related URLs: http://acta.bibl.u-szeged.hu/38537/
DOI: 10.14232/actacyb.21.3.2014.13
Uncontrolled Keywords: Számítástechnika
Additional Information: Bibliogr.: p. 505-506. és a lábjegyzetekben ; összefoglalás angol nyelven
Subjects: 01. Natural sciences
01. Natural sciences > 01.02. Computer and information sciences
Date Deposited: 2016. Oct. 17. 10:37
Last Modified: 2022. Jun. 20. 09:07
URI: http://acta.bibl.u-szeged.hu/id/eprint/34481

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