Iranian Journal of Information Processing and Management

Iranian Journal of Information Processing and Management

The Evolution of Technology: an Analysis on Subject Classes of Patents for Recognition of RFID Technology

Authors
Ali Mansouri
Mohammad Tavakolizade Ravari
Fatemeh Makizadeh
Ziba Tusi
10.35050/JIPM010.2017.012
Abstract
The aim of the current research is the analysis of patent classes to recognize the subject areas 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 softwares 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 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.
Keywords
Patents
Co-Occurrence Analysis
Social Network Analysis
Clustering
RFID

  • Receive Date 10 December 2022
  • Revise Date 27 May 2023