Using Co-Citation Network Analysis for Patent Quality Prediction

運用Co-citation網路結構分析專利未來價值

楊閔翔(Min-Shyang Yang)

指導教授 ： 王俊程

國立清華大學/科技管理學院/科技管理研究所/碩士(2009年)

摘要

Patent research provides a lot of critical message for industry research and development. Patent citation analysis has been widely used in patent research. Most of patent analysis research tried to figure out what makes a patent valuable and how to identify those valuable patents.
Investigating specific patterns of patent citation data, some research conclude that single-stage citation analysis cannot reveal technological paths or lineages. Therefore, one should also make use of indirect citations and bibliographical coupling and co-citation. In bibliometrics, there have been broad researches on the assessment of documents. The most and in recent times have been studied are bibliographic coupling and co-citation.
Social network analysis is a theory to analyses network graph, discus the actors function in the social network and it can present the patent value by patent co-citation graph. In this study, social network analysis is a tool of analysis patent co-citation network structural and some index in social network has can identify the different kind of important thing in the network.

關鍵字

社會網路分析

並列摘要

無資料

並列關鍵字

patent ； social network analysis ； co-citation analysis

參考文獻

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Guellec, D., et al. (2000), Applications, grants and the value of patent. Economic Letters, 69.

Han, Y. (2007), Measuring industrial knowledge stocks with patents and papers. Journal of Informetrics 1, 269-276.