文献类型：会议论文

英文题名：IPC Co-occurrence Based Technological Trends Discovery

作者：Gui Jie[1]; Zhang Zhaofeng[1]; Sun Mengyang[2]; Lei Xiaoping[1]

第一作者：Gui Jie

机构：[1] Inf. Technol. Supporting Centre, Inst. of Sci. & Tech. Inf. of China, Beijing, China; [2] Tourism Inst., Beijing Union Univ., Beijing, China

第一机构：Inf. Technol. Supporting Centre, Inst. of Sci. & Tech. Inf. of China, Beijing, China

会议日期：26-28 Nov. 2010

会议地点：Kunming, China

语种：英文

外文关键词：innovation management - patents - technology management

摘要：Technological trends discovery has been paid attention seriously in recent years in technological innovation management because of great demands on R&D decision making from the governments and various organizations. In this paper, the framework integrating with technology coupling, IPC co-occurrence, complex networks and visualization would be developed. The paper first introduces the technology coupling theory which is developed by Fleming and can be used to measure the utility of patent. Then the application of IPC co-occurrence and complex network base on technology coupling theory is designed. At last, we make the empirical study on hybrid electric vehicle field. The empirical study identifies that our framework helps to discover and mine the technological trends at the company level.