摘要
本研究提出基于知识概念的产生、生长和消亡的技术新陈代谢分析方法。基于IEEEXplore数据库,以3G-5G技术为例,利用LLR算法和相关数据库技术,探讨了在技术升级过程中新知识概念随时间的生长情况,对各领域的研究主题进行历时分析,并对有长久生命力的研究主题进行挖掘。研究结果表明:技术升级会带来技术的新陈代谢,造成知识概念波峰的产生,延长研究领域的生命周期;在技术升级过程中新研究主题侧重于时代名词及技术方法,而那些长盛不衰的研究主题更侧重于理论与模型。
This study proposes a technical metabolic analysis method based on the generation, growth and extinction of knowledge concepts. Based on the IEEE Xplore database, the 3G-5G technology is used as an example. Employing LLR algorithm, the expansion of new knowledge concept over time in the process of technology upgrading are discussed. A diachronic analysis of research topics in 3G-5G fields was conducted, and research subjects with long-lasting vitality were analyzed. The results of the study show that technology upgrading will bring about the metabolism of technology. Firstly, technology upgrading leads to the generation of knowledge concept peaks and prolongs the life cycle of a field. Secondly, in the process of technology upgrading, new research topics focus on the terminology and technical methods, while those long-lasting research topics focus more on theory and models.
作者
王贤文
田文灿
胡志刚
Wang Xianwen;Tian Wencan;Hu Zhigang(Institute of Science of Science and Science and Technology Management, Dalian University of Technology, Dalian, 116024;WISE Laboratory, Dalian University of Technology, Dalian 116024)
出处
《信息资源管理学报》
CSSCI
2019年第2期4-10,共7页
Journal of Information Resources Management
基金
国家自然科学基金项目(71673038)
中央高校基本科研业务费(DUT18JC32)的资助