Tracing technological development trajectories: A genetic knowledge persistence-based main path approach

Title
Tracing technological development trajectories: A genetic knowledge persistence-based main path approach
Author
박현석
Issue Date
2017-01
Publisher
PUBLIC LIBRARY SCIENCE
Citation
PLOS ONE, v. 12, no. 1, Article no. e0170895
Abstract
The aim of this paper is to propose a new method to identify main paths in a technological domain using patent citations. Previous approaches for using main path analysis have greatly improved our understanding of actual technological trajectories but nonetheless have some limitations. They have high potential to miss some dominant patents from the identified main paths; nonetheless, the high network complexity of their main paths makes qualitative tracing of trajectories problematic. The proposed method searches backward and forward paths from the high-persistence patents which are identified based on a standard genetic knowledge persistence algorithm. We tested the new method by applying it to the desalination and the solar photovoltaic domains and compared the results to output from the same domains using a prior method. The empirical results show that the proposed method can dramatically reduce network complexity without missing any dominantly important patents. The main paths identified by our approach for two test cases are almost 10x less complex than the main paths identified by the existing approach. The proposed approach identifies all dominantly important patents on the main paths, but the main paths identified by the existing approach miss about 20% of dominantly important patents.
URI
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0170895http://repository.hanyang.ac.kr/handle/20.500.11754/105155
ISSN
1932-6203
DOI
10.1371/journal.pone.0170895
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
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