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    題名: Mapping Knowledge Structure by Keyword Co-occurrence- A First Look at Journal Papers in Technology Foresight
    作者: 李沛錞
    Lee*, Pei-Chun
    Su, Hsin-Ning
    貢獻者: 圖檔所
    關鍵詞: Keyword ;Network theory;Knowledge structure ;Technology Foresight 
    日期: 2010-01
    上傳時間: 2019-09-19 09:49:21 (UTC+8)
    摘要: This study proposes an approach for visualizing a knowledge structure, the proposed approach creates a three-dimensional “Research focused parallelship network”, a “Keyword Co-occurrence Network”, and a two-dimensional knowledge map to facilitate visualization of the knowledge structure created by journal papers from different perspectives. The networks and knowledge maps can be depicted differently by choosing different information as the network actor, e.g. author, institute or country keyword, to reflect knowledge structures in micro-, meso-, and macro-levels, respectively. Technology Foresight is selected as an example to illustrate the method proposed in this study. A total of 556 author keywords contained in 181 Technology Foresight related papers have been analyzed. European countries, China, India and Brazil are located at the core of Technology Foresight research. Quantitative ways of mapping journal papers are investigated in this study to unveil emerging elements as well as to demonstrate dynamics and visualization of knowledge. The quantitative method provided in this paper shows a possible way of visualizing and evaluating knowledge structure; thus a computerized calculation is possible for potential quantitative applications, e.g. R&D resource allocation, research performance evaluation, science map, etc.
    關聯: Scientometrics, Vol.85, No.1, pp.65–79
    資料類型: article
    DOI 連結: https://doi.org/10.1007/s11192-010-0259-8
    DOI: 10.1007/s11192-010-0259-8
    顯示於類別:[圖書資訊與檔案學研究所] 期刊論文

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