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Region-based Teams Ranking in the Game of Cricket using PageRank Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 177 - Number 16 |
| Year of Publication: 2019 |
| Authors: Akbar Hussain, Yan Qiang, M. Abdul Qadoos Bilal, Inam Ullah, Najeeb Ullah |
10.5120/ijca2019919458
|
Akbar Hussain, Yan Qiang, M. Abdul Qadoos Bilal, Inam Ullah, Najeeb Ullah . Region-based Teams Ranking in the Game of Cricket using PageRank Algorithm. International Journal of Computer Applications. 177, 16 ( Nov 2019), 10-15. DOI=10.5120/ijca2019919458
Abstract
Cricket sport is a favorite source of entertainment in commonwealth countries. Traditionally in cricket, the performance of the team measures after winning or losing a match. The international cricket council (ICC) is a governing body that ranks cricket teams globally without considering the strength and weakness of the region. Region-based team’s strength and weakness is an essential factor for the teams’ selection. In this paper, we proposed the Region-wise Team Rank (RWTR), an extension of the PageRank algorithm to rank cricket teams across the region. The intuition is to get more points to a team that wins a match from a stronger. The proposed ranking reflects more the flow of the game compared to the traditional ranking.
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