Evolution,Hot Spots and Frontiers of Research in the Field of Artificial Intelligence in Sports in China:Visualised Metrics Analysis Based on CiteSpace Knowledge Graphs
The development of the field of artificial intelligence in sports has important theoretical value and practical significance for China to realise the strategy of sports power,science and technology power and healthy China.This paper grasps and analyses the evolution,hotspots and frontiers of research in the field of sport AI in China as a whole,with a view to providing reference for scientific research and practical application in this field.Taking China Knowledge Network(CNKI)as the data platform of the research literature,384 high-quality litera-tures in the field of sports AI in China were analysed by CiteSpace software to visualize and measure the knowledge graph.The results show that:(1)the first high-quality literature in this field appeared in 1992,and it was in the stage of slow development from 1992 to 2005,fluc-tuating and changing from 2006 to 2016,and in the stage of booming development from 2017 to the present.Collaboration between authors and teams of authors is lacking,and is still loosely organised.The co-operation among research institutions is mainly in the mode of"sports colleges and universities,supplemented by teacher training colleges and research institutes,and supplemented by comprehensive colleges and universities".There is little cooperation among research institutions,and there is still much room for improvement.(2)Through the key-word co-occurrence and keyword clustering analysis,it is found that the key research areas of AI in sports in China are clustered in"sports industry"and"competitive sports";the research hotspots are"data mining"and"prediction model".The research hotspots are"data mining"and"prediction model".In the"sports industry"cluster,sports economy,digital economy and sports industry are the hotspots for cutting-edge research;in the"competitive sports"cluster,competitive sports,school sports and national fitness are the hotspots for cutting-edge re-search.(3)Through the analysis of timeline mapping,keyword emergence mapping,time zone mapping and peak mapping,it is found that in the early stage(1992-2005 is the initial exploration stage),the research hotspots and fronts are concentrated in artificial intelligence,data mining,sports,predictive modelling,forecasting,learning and neural networks.In the middle stage(2006-2016 is in the stable development stage),the research hotspots and frontiers mainly focus on the sports industry,and other research directions are more scattered.In the later stage(2017 to present is the research deepening stage),with the introduction of a series of national policies,sports artificial intelligence ri-ses to the level of national strategy,the research in this stage is comprehensive and in-depth,the research hotspots and frontiers are concen-trated in the sports events,sports performance,predictive models,neural networks,sports news,artificial intelligence,core literacy,sports in-dustry,digital economy,deep learning,big data,meta-universe,digital technology,and physical education.
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