미국 ICT기업의 국제특허분류 공동출현 네트워크 특성에 관한 연구 : 기술유사성과 기술응용성을 중심으로

Coincidence Analysis with International Patent Classification (IPC) Network of US ICT Companies: Focusing on Technology Similarity and Application

초록

The purpose of this study is to confirm the degree of technology similarity of MAGA, which leads the US ICT industry, and to examine the technology application of each company. MAGA (Microsoft, Apple, Google, Amazon), the four major ICT companies in the United States and a group of companies leading the future, accumulated intellectual property through patents. Through international patent classification (IPC), we examined how MAGA’s technologies are combined with other technologies and investigated differences in technology application by each company. In order to confirm the technology similarity of MAGA, we used the IPC co-occurrence network. The number of IPC samples limited to MAGA is 68,732, inclusive of registered and applied patents. We analyzed the technologies used in common by forming a pair of the top 10 companies in each company’s IPC in order of frequency. The top 10 IPCs were extracted based on the degree of centrality for each company, and the similarity and application of the technologies were verified with an edge value. The most commonly registered and applied technology by MAGA is G06F, which shows that it uses the most electrical digital data processing, and most of the other technologies are verified to be similar.

키워드

국제특허분류공동출현 네트워크기술유사성기술응용MAGAInternational Patent Classification (IPC)Coincidence NetworkTechnology SimilarityTechnology ApplicationMAGA
제목
미국 ICT기업의 국제특허분류 공동출현 네트워크 특성에 관한 연구 : 기술유사성과 기술응용성을 중심으로
제목 (타언어)
Coincidence Analysis with International Patent Classification (IPC) Network of US ICT Companies: Focusing on Technology Similarity and Application
저자
노태우조길수이창준
DOI
10.46251/INNOS.2021.5.16.2.237
발행일
2021-05
유형
정기학술지(Article(Perspective Article포함))
저널명
한국혁신학회지
16
2
페이지
237 ~ 263