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    題名: Quantitative Mapping of Scientific Research — The Case of Electrical Conducting Polymer Nanocomposite
    作者: 李沛錞
    Lee, Pei-Chun
    Su*, Hsin-Ning
    貢獻者: 圖檔所
    關鍵詞: Quantitative analysis;Network analysis;Technology evolution;Mapping;Patent citation;Quantitative analysis
    日期: 2011-01
    上傳時間: 2019-09-19 09:50:19 (UTC+8)
    摘要: This study aims to obtain global technology evolution by constructing and analyzing patent citation network and patent citation map for the field of electrical conducting polymer nanocomposite. A total of 1421 patents are retrieved from USPTO patent database and patent citation network is established by combing both patent citation and social network analysis. Network properties, e.g. Degree Centrality, Betweenness Centrality, and Closeness Centrality, are calculated for representing several technology evolution mechanisms that first proposed in this study. Also, a distance-based patent citation map is constructed by calculating relative distances and positions of patents in the patent citation network. Quantitative ways of exploring technology evolution are investigated in this study to unveil important or emerging techniques as well as to demonstrate dynamics and visualization of technology evolutions.
    關聯: Technological Forecasting and Social Change, Vol.78, No.1, pp.132-151
    資料類型: article
    DOI 連結: https://doi.org/10.1016/j.techfore.2010.06.002
    DOI: 10.1016/j.techfore.2010.06.002
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