期刊名称：Iranian Journal of Information Processing & Management
印刷版ISSN：2251-8223
电子版ISSN：2251-8231
出版年度：2017
卷号：33
期号：1
页码：299-314
出版社：Iranian Research Institute for Information and Technology
摘要：Subject classes represent the contents and the subject area of patents The aim of the current research is the analysis of patent classes to recognize the subject area of RFID technology . The research is a descriptive one and uses the clustering and the social network analysis techniques for data analysis. The research population consisted of 35,627 patents that the term “RFID” or “Radio Frequency Identification” occurred in their abstracts or titles. Data analysis was performed through the software's like Excel, SPSS, NetDraw, and RavarMatrix. The findings showed that the growth of patents in the intended technology followed an exponential regression. The important subclasses were determined by two factors number of years and frequency of use. It resulted in 803 important subclasses.The result of clustering for main classes also revealed that the RFID technology was associated with the 31 subject areas. The axes or runts of these areas were Telecommunication and Electrical Communication . Social Network Analysis confirmed that the “Electrical Communication” have-had the most significant role for bridging other classes.
关键词：Patents ; Co-Occurrence Analysis ; Social Network Analysis ; Clustering ; RFID
