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Study on the measurement of international knowledge flow based on the patent citation network

机译:基于专利引用网络的国际知识流测度研究

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摘要

A quantitative analysis based on patent citation is an effective method for measuring transnational knowledge flow. The understanding of knowledge flow among countries provides a special perspective for enhancing the realisation of the interaction between different national innovation producers. This paper analyses a transnational patent citation network in the field of electrical and electronic technology during three different time periods from 1984 to 2006, based on the United States Patent and Trademark Office (USPTO) patent statistic database, published by the National Bureau of Economic Research (NBER). The paper utilises the methods in social network analysis, such as k-core and block modelling, to analyse the patterns and features of international knowledge flow from the following perspectives: the distribution of transnational patent citations, the core-periphery structure of the transnational patent citation network, and the internal knowledge flow among countries of the coregroup.
机译:基于专利引用的定量分析是衡量跨国知识流的有效方法。对国家间知识流的理解为加强实现不同国家创新生产者之间的相互作用提供了特殊的视角。本文根据美国国家经济研究局发布的美国专利商标局专利统计数据库,分析了1984年至2006年三个不同时期的电气和电子技术领域的跨国专利引用网络。 (NBER)。本文利用社交网络分析中的k-core和块建模等方法,从以下角度分析国际知识流的模式和特征:跨国专利引文的分布,跨国专利的核心-外围结构引用网络,以及内部知识在核心组国家之间的流动。

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