運動科學研究知識地圖分析:基於書目計量學方法
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2025
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Abstract
本研究旨在探討 2013 年至 2023 年間運動科學領域中的熱門議題與前瞻議題,透過文獻計量方法與文字探勘技術,建構出一套辨識、分析與視覺化學術主題演變的系統性架構。研究資料來自 Web of Science 資料庫中的 78 種核心期刊,並輔以三本臺灣代表性體育期刊,以涵蓋中英文文獻的多元觀點。研究採用詞頻(Term Frequency, TF)與斜率(Slope)雙重指標進行熱門與前瞻詞彙之辨識,並結合書目耦合分析、共詞分析與期刊聚類分析三項策略,透過 CATAR 平台進行視覺化處理與主題結構重建。研究結果顯示,運動科學領域主題具有顯著的動態演化特性,不同次領域在詞彙使用與主題焦點上呈現多樣化趨勢。熱門議題如訓練方法、生理表現與健康促進持續受到高度關注;前瞻議題則顯示智慧科技應用、心理健康介入與特殊族群研究等新興主題的快速成長。此外,期刊聚類結果呈現出超越傳統分類的知識結構重組現象,顯示運動科學研究正朝向跨領域整合與應用導向發展。
本研究所建構之分析框架,不僅可作為後續研究追蹤運動科學發展趨勢之依據,亦可為政府與學術機構在資源配置、研究政策與學科分類上提供實證參考。
This study aims to explore popular and emerging research topics in the field of sport science from 2013 to 2023 by constructing a systematic framework for identifying, analyzing, and visualizing thematic developments using bibliometric and text-mining techniques. The data were collected from 78 core journals indexed in the Web of Science database, supplemented with three representative Chinese-language sport science journals from Taiwan to incorporate both international and local perspectives.The research adopts a dual-index strategy using Term Frequency (TF) and Slope to identify both popular and emerging topics. It further integrates Bibliographic Coupling (BC), Co-word Analysis (CW), and Journal-Based Clustering (JBC), with visualization support provided by the CATAR platform. The findings reveal that the thematic structure of sport science has undergone dynamic evolution, with popular topics such as training methods, physiological performance, and health promotion maintaining steady attention. In contrast, emerging topics such as smart technologies, mental health interventions, and studies on special populations have shown rapid growth.Moreover, the journal clustering results indicate a reorganization of knowledge structures that transcends traditional disciplinary boundaries, reflecting a broader trend toward interdisciplinary integration and applied research in sport science. The analytical framework developed in this study provides a foundation for future trend monitoring and serves as a strategic reference for policymakers, funding agencies, and academic institutions.
This study aims to explore popular and emerging research topics in the field of sport science from 2013 to 2023 by constructing a systematic framework for identifying, analyzing, and visualizing thematic developments using bibliometric and text-mining techniques. The data were collected from 78 core journals indexed in the Web of Science database, supplemented with three representative Chinese-language sport science journals from Taiwan to incorporate both international and local perspectives.The research adopts a dual-index strategy using Term Frequency (TF) and Slope to identify both popular and emerging topics. It further integrates Bibliographic Coupling (BC), Co-word Analysis (CW), and Journal-Based Clustering (JBC), with visualization support provided by the CATAR platform. The findings reveal that the thematic structure of sport science has undergone dynamic evolution, with popular topics such as training methods, physiological performance, and health promotion maintaining steady attention. In contrast, emerging topics such as smart technologies, mental health interventions, and studies on special populations have shown rapid growth.Moreover, the journal clustering results indicate a reorganization of knowledge structures that transcends traditional disciplinary boundaries, reflecting a broader trend toward interdisciplinary integration and applied research in sport science. The analytical framework developed in this study provides a foundation for future trend monitoring and serves as a strategic reference for policymakers, funding agencies, and academic institutions.
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運動科學, 熱門議題, 前瞻議題, 文獻計量分析, CATAR, 書目耦合, 共詞分析, 期刊聚類, Sport science, Popular topics, Emerging topics, Bibliometric analysis, CATAR, Bibliographic coupling, Co-word analysis, Journal-based clustering