A network science-based approach to rank cricket players

IF 1 Q3 MANAGEMENT

IIMB Management Review Pub Date : 2025-09-01 DOI:10.1016/j.iimb.2025.100589

Kundan Kandhway

引用次数: 0

Abstract

We present a method to rank cricket players based on the node centrality concept from network science. We create batsmen-bowlers bipartite networks with edge weights based on performance metrics such as average, strike rate, etc. Then, modifications of the standard Katz and PageRank centrality measures are proposed to assign centrality scores to the nodes of these weighted bipartite networks. We tested our approach on the ODI and T20 data of the last two decades to come up with the rank of the players based on their performance during this period.

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基于网络科学的板球运动员排名方法

基于网络科学中的节点中心性概念，提出了一种板球运动员排名方法。我们创建击球手和投球手的二部网络，其边缘权重基于性能指标，如平均击球率等。然后，提出了对标准Katz和PageRank中心性度量的改进，为这些加权二部网络的节点分配中心性分数。我们对过去二十年的ODI和T20数据进行了测试，得出了基于球员在这一时期表现的排名。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IIMB Management Review MANAGEMENT-

CiteScore

3.20

自引率

5.90%

发文量

审稿时长

68 days

期刊介绍： IIMB Management Review (IMR) is a quarterly journal brought out by the Indian Institute of Management Bangalore. Addressed to management practitioners, researchers and academics, IMR aims to engage rigorously with practices, concepts and ideas in the field of management, with an emphasis on providing managerial insights, in a reader friendly format. To this end IMR invites manuscripts that provide novel managerial insights in any of the core business functions. The manuscript should be rigorous, that is, the findings should be supported by either empirical data or a well-justified theoretical model, and well written. While these two requirements are necessary for acceptance, they do not guarantee acceptance. The sole criterion for publication is contribution to the extant management literature.Although all manuscripts are welcome, our special emphasis is on papers that focus on emerging economies throughout the world. Such papers may either improve our understanding of markets in such economies through novel analyses or build models by taking into account the special characteristics of such economies to provide guidance to managers.