Author(s)

Yanjiong Zhu ¹

Affiliation(s)

¹ The School of Finance, Shanghai University of International Business and Economics, Shanghai, 201620, China

Corresponding Author

Yanjiong Zhu

ABSTRACT

A necessary condition for the accurate evaluation of the comprehensive strength and greatness of athletes in sports is the provision of objective and quantifiable criteria, which can reduce subjective bias and increase persuasiveness. This paper builds a model based on the characteristics of individual sports competitions, from which 'The Greatest Athlete of All Time' (The G.O.A.T.) is selected. Boxing was chosen as the object of study, and the model first collected relevant data on the BoxRec website, and built a complex network among boxers based on the relationship between opponents' fights against each other. With the support of a large amount of data, this paper uses the PageRank algorithm to score and rank the players according to the objectivity and practicality of the data, and obtain the 'greatest athlete of all time' in boxing. In order to extend the evaluation model to all individual sports, this paper subdivided the individual sports into direct and indirect athletics, and implemented differentiated evaluation. For indirect athletics, the indicators like 'relative score' and 'record keeping time', are added. The aim is to select the 'greatest athletes of all time' through comprehensive analysis.

KEYWORDS

Athletes, Evaluation, Complex Networks, PageRank

CITE THIS PAPER

Yanjiong Zhu, Comprehensive evaluation model for athletes based on PageRank and complex networks. Advances in Computer, Signals and Systems (2024) Vol. 8: 9-16. DOI: http://dx.doi.org/10.23977/acss.2024.080302.

REFERENCES

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[3] Li G L , Li H , Wang Y R ,et al.The Solution to Node Importance in Complex Networks Based on PageRank Algorithm[C]//International Conference on Frontiers of Manufacturing Science and Measuring Technology.2014.
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[5] Li Mengchu. Analysis of new standards and methods of sports event classification [J]. Contemporary Sports Science and Technology, 2014(13): 170-170.

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