International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 177 - Issue 16 |
Published: Nov 2019 |
Authors: Akbar Hussain, Yan Qiang, M. Abdul Qadoos Bilal, Inam Ullah, Najeeb Ullah |
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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
@article{ 10.5120/ijca2019919458, author = { Akbar Hussain,Yan Qiang,M. Abdul Qadoos Bilal,Inam Ullah,Najeeb Ullah }, title = { Region-based Teams Ranking in the Game of Cricket using PageRank Algorithm }, journal = { International Journal of Computer Applications }, year = { 2019 }, volume = { 177 }, number = { 16 }, pages = { 10-15 }, doi = { 10.5120/ijca2019919458 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2019 %A Akbar Hussain %A Yan Qiang %A M. Abdul Qadoos Bilal %A Inam Ullah %A Najeeb Ullah %T Region-based Teams Ranking in the Game of Cricket using PageRank Algorithm%T %J International Journal of Computer Applications %V 177 %N 16 %P 10-15 %R 10.5120/ijca2019919458 %I Foundation of Computer Science (FCS), NY, USA
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.