學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

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 19-Sep-2019 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 https://doi.org/10.1016/j.techfore.2010.06.002
dc.contributor 圖檔所
dc.creator (作者) 李沛錞
dc.creator (作者) Lee, Pei-Chun
dc.creator (作者) Su*, Hsin-Ning
dc.date (日期) 2011-01
dc.date.accessioned 19-Sep-2019 09:50:19 (UTC+8)-
dc.date.available 19-Sep-2019 09:50:19 (UTC+8)-
dc.date.issued (上傳時間) 19-Sep-2019 09:50:19 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/126283-
dc.description.abstract (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.
dc.format.extent 2989169 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Technological Forecasting and Social Change, Vol.78, No.1, pp.132-151
dc.subject (關鍵詞) Quantitative analysis ; Network analysis ; Technology evolution ; Mapping ; Patent citation ;Quantitative analysis
dc.title (題名) Quantitative Mapping of Scientific Research — The Case of Electrical Conducting Polymer Nanocomposite
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1016/j.techfore.2010.06.002
dc.doi.uri (DOI) https://doi.org/10.1016/j.techfore.2010.06.002