Mingliang Zhang , Kyungsik Kim
DOI:10.46695/ASCS.2.3.2
Abstract
PURPOSE This study aimed to investigate: 1) the change of the key research keywords by period; 2) the key symbolic keywords that represent 20 years of ski research; 3) the sub-research area of ski research. METHOD We searched international journal articles on Web of Science websites and used bibliometrics and keyword networks to determine ski related research trends. To this end, we researched ski sub-research areas of 873 papers published between 2000 and 2019 in 69 international journals involving ski research. This study used python for bibliometrics and word frequency statistics, and centrality analysis cohesion analysis for Netminer. RESULT There have been changes in the keywords for ski research in different time periods. Keywords such as skiing, injury, skier, sports, athlete, training etc. were important in the 2000s. In 2010s, keywords such as speed, strength, women, system, jumping were deemed to be important. In the 2000s, co-words such as knee-injury, sport-injury, ski-downhill, injury-pattern were important, while co-words such as cup-world, level-skill, female-male, illness-injury were particularly important in the 2010s. In the past 20 years, ski research has mainly focused on three major projects’ analysis: cross-country skiing, alpine skiing, and snowboarding. Ski, skier, injury, performance, athlete, sport, time, training have been the core keywords of ski research in the past 20 years. Co-words such as alpine-ski, cross country-skier, alpine-skier are research priorities in the ski field. These keywords represent the research direction in the ski field and development trends. Finally, sub-research area of ski includes four groups: ski and measure, ski and training, ski risk and injury, and ski and technique. CONCLUSION A few core keywords have made a relatively large contribution to the formation of ski knowledge structure; keyword network analysis provides new ideas and research methods for exploring the ski structure and development trends, which is a major academic breakthrough.
Key Words
Ski, Social network analysis, Research trend, International journal