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    政大機構典藏 > 商學院 > 金融學系 > 期刊論文 >  Item 140.119/76034


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    題名: Quantitative mapping of scientific research-The case of electrical conducting polymer nanocomposite
    作者: Lee, Pei-Chun;Su, H.-N.
    李培均
    貢獻者: 金融系
    關鍵詞: Electrical conduction;Keyword;Knowledge structures;Network theory;Polymer nanocomposite;Conducting polymers;Electric network analysis;Nanocomposites;Organic conductors;Research;Research and development management;academic research;composite;electrical conductivity;knowledge;mapping;nanotechnology;network analysis;polymer
    日期: 2011-01
    上傳時間: 2015-06-22 15:55:58 (UTC+8)
    摘要: This study aims to understand knowledge structure both quantitatively and visually by integrating keyword analysis and social network analysis of scientific papers. The methodology proposed in this study is capable of creating a three-dimensional "Research focus parallelship network" and a "Keyword Co-occurrence Network", together with a two-dimensional knowledge map. The network and knowledge map can be depicted differently by choosing different information for the network actor, i.e. country, institute, paper and keyword, to reflect knowledge structures from macro, to meso, to micro-levels. A total of 223 highly cited papers published by 142 institutes and 26 countries are analyzed in this study. China and the US are the two countries located at the core of knowledge structure and China is ranked no. 1. This quantitative exploration provides a way to unveil important or emerging components in scientific development and also to visualize knowledge; thus an objective evaluation of scientific research is possible for quantitative technology management. © 2010 Elsevier Inc.
    關聯: Technological Forecasting and Social Change, 78(1), 132-151
    資料類型: article
    DOI 連結: http://dx.doi.org/10.1016/j.techfore.2010.06.002
    DOI: 10.1016/j.techfore.2010.06.002
    顯示於類別:[金融學系] 期刊論文

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