Abstract

It is of great significance to predict the results accurately based on the statistics of sports competition for participants research, commercial cooperation, advertising, and gambling profit. Aiming at the phenomenon that the PageRank page sorting algorithm is prone to subject deviation, the category similarity between pages is introduced into the PageRank algorithm. In the PR value calculation formula of the PageRank algorithm, the factor W(u, v) between pages is added to replace the original Nu (the number of links to page u). In this way, the content category between pages is considered, and the shortcoming of theme deviation will be improved. The time feedback factor in the PageRank-time algorithm is used for reference, and the time feedback factor is added to the first improved PR value calculation formula. Based on statistics from 1230 games during the NBA 2018-2019 regular season, this paper ranks the team strength with improved PageRank algorithm and compares the results with the ranking of regular-season points and the result of playoffs. The results show that it is consistent with the regular-season points ranking in the eastern division by the use of improved PageRank algorithm, but there is a difference in the second ranking in the western division. In the prediction of top four in playoffs, it predicts three of the four teams.

Highlights

  • It is significantly meaningful to evaluate the strength of the competitors and predict the results of the competition according to the strength

  • PageRank is a link analysis algorithm, which is a calculation model that other search engines and academia pay close attention to. e core idea is that the more the links a web page has, the more authoritative is the web page that references it and the more important the web page is. e calculation of the importance of web pages is carried out offline and has nothing to do with the subject of the query, so it has fast response capabilities [11]

  • E difference between the Hits algorithm and PageRank is that certain web pages are identified as Authority pages and Hub pages in the Hits algorithm. e traditional PageRank algorithm is calculated based on web page hyperlinks, but the value of each web page link cannot be used to measure its importance and can only be calculated by using the average value. e Hits algorithm solves this problem well. e Hits algorithm is one of the very classic algorithms in link analysis

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Summary

Test resource library

As can be seen from Figures 4 and 5, improved PageRank thinks that, in the eastern division, the strength of Celtics and 76ers is overestimated, while the strength of Pacers is underestimated; in the western division, the strength of Nuggets is overestimated, and the strength of Jazz and Blazers is underestimated. Because the NBA competition system does not match the third and fourth places, we have to rank the first two teams in the eastern and western regions according to the division rules and compare the results with the actual results of the game. e comparison results are shown in Table 2.

Improved PageRank algorithm PageRank algorithm
Real ranking Improved PageRank algorithm ranking PageRank algorithm ranking
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