Patent Network Analysis and Quadratic Assignment Procedures to Identify the Convergence of Robot Technologies

被引：30
|
作者：
Lee, Woo Jin [1 ]
Lee, Won Kyung [1 ]
Sohn, So Young [1 ]
机构：
[1] Yonsei Univ, Dept Informat & Ind Engn, 134 Shinchon Dong, Seoul 120749, South Korea
来源：
PLOS ONE | 2016年 / 11卷 / 10期
基金：
新加坡国家研究基金会;
关键词：
COMPLEX NETWORK; FLOW; CLASSIFICATION; COLLABORATION; CENTRALITY; INNOVATION; CITATIONS; INDUSTRY;
D O I：
10.1371/journal.pone.0165091
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Because of the remarkable developments in robotics in recent years, technological convergence has been active in this area. We focused on finding patterns of convergence within robot technology using network analysis of patents in both the USPTO and KIPO. To identify the variables that affect convergence, we used quadratic assignment procedures (QAP). From our analysis, we observed the patent network ecology related to convergence and found technologies that have great potential to converge with other robotics technologies. The results of our study are expected to contribute to setting up convergence based R&D policies for robotics, which can lead new innovation.
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页数：16
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