Lee Pei-Chun, Su Hsin-Ning, Wu Feng-Shang
Graduate Institute of Technology and Innovation Management, National Chengchi University, No. 64, Sec. 2, Chih-nan Rd. Wenshan, Taipei, 116, Taiwan.
Science and Technology Policy Research and Information Center, National Applied Research Laboratories, 14 F., No. 106, Sec. 2, He-Ping E. Rd., Taipei, 106, Taiwan.
Technol Forecast Soc Change. 2010 Mar;77(3):466-478. doi: 10.1016/j.techfore.2009.08.006. Epub 2009 Sep 30.
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.
本研究旨在通过构建和分析导电聚合物纳米复合材料领域的专利引用网络和专利引用图谱，来获取全球技术演进情况。从美国专利商标局（USPTO）专利数据库中检索了总共1421项专利，并通过结合专利引用和社会网络分析建立了专利引用网络。计算了网络属性，如度中心性、中介中心性和接近中心性，以代表本研究首次提出的几种技术演进机制。此外，通过计算专利引用网络中专利的相对距离和位置，构建了基于距离的专利引用图谱。本研究探讨了探索技术演进的定量方法，以揭示重要或新兴技术，并展示技术演进的动态性和可视化。
