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

通讯作者：Gui, J.

机构：[1] Information Technology Supporting Centre, Institute of Scientific and Technical Information of China, ISTIC, Beijing, China; [2] Tourism Institute, Beijing Union University, BUU, Beijing, China

第一机构：Information Technology Supporting Centre, Institute of Scientific and Technical Information of China, ISTIC, Beijing, China

会议论文集：Proceedings - 3rd International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2010

会议日期：26 November 2010 through 28 November 2010

会议地点：Kunming

语种：英文

外文关键词：Complex networks - Information management - Patents and inventions

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. ? 2010 IEEE.