Big Data in Sports: A Bibliometric and Topic Study

IF 1.2 Q4 BUSINESS
A. Šuštaršič, M. Videmšek, D. Karpljuk, I. Miloloza, M. Meško
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引用次数: 4

Abstract

Abstract Background: The development of the sports industry was impacted by the era of Big Data due to the rapid growth of information technology. Unfortunately, that has become an increasingly challenging Issue. Objectives: The purpose of the research was to analyze the scientific production of Big Data in sports and sports-related activities in two databases, Web of Science and Scopus. Methods/Approach: Bibliometric analysis and topic mining were done on 51 articles selected after four exclusion criteria (written in English, journal articles, the final stage of publication, and a detailed review of all full texts). The software tool used was Statistica Data Miner. Results: We found that the first articles appeared in Scopus in 2013 and WoS in 2014. USA and China are countries which produced the most articles. The most common research areas in WoS and Scopus are Public environmental and occupational health, Medicine, Environmental science ecology, and Engineering. Conclusions: We conducted that further research and literature review will be required as this is a broad and new topic.
体育中的大数据:文献计量学和主题研究
摘要背景:由于信息技术的快速发展,体育产业的发展受到了大数据时代的冲击。不幸的是,这已经成为一个越来越具有挑战性的问题。目的:本研究的目的是分析Web of Science和Scopus两个数据库中体育和体育相关活动大数据的科学生产情况。方法/方法:通过四个排除标准(英文、期刊文章、发表的最后阶段和对所有全文的详细审查)对51篇文章进行文献计量学分析和主题挖掘。使用的软件工具是Statistica Data Miner。结果:Scopus首次发表于2013年,WoS首次发表于2014年。美国和中国是产出最多文章的国家。WoS和Scopus中最常见的研究领域是公共环境与职业健康、医学、环境科学生态学和工程学。结论:这是一个广泛而新颖的课题,需要进一步的研究和文献综述。
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
CiteScore
3.00
自引率
6.70%
发文量
0
审稿时长
22 weeks
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