Metrology Atlas Research on the CNKI Literature Big Data of Sports Artificial Intelligence Based on COOC/VOSviewer
Xin Xiang, Qi Wang · 2021 2nd International Conference on Information Science and Education (ICISE-IE) · 2021
Through the bibliometric method and VOSviewer, an emerging literature big data bibliometric visualization tool, the keywords of CNKI literature big date of sports artificial intelligence are sorted by word frequency as reflected by co-occurrence matrix network model, and clustering visualization atlas. The results of analysis show that the literature high-frequency words of sports artificial intelligence research in the current CNKI database include artificial intelligence, sports, college students, interests, and Computer vision. And the co-occurrence matrix network for keywords consist of 91 nodes and 381 lines; with artificial intelligence, sports and college students as the hotspots, the clustering characteristics are embodied in five aspects, namely system, content, direction, scope and trend.