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Two-phase edge outlier detection method for technology opportunity discovery

Authors
Kim,ByunghoonGazzola, GianlucaYang, JaekyungLee, Jae-minCoh, Byoung YoulJeong, MyongkeeJeong, Youngseon
Issue Date
Oct-2017
Publisher
Springer Netherlands
Keywords
Edge outlier; Outlier detection; Patent citation network; Technology convergence; Technology opportunity discovery
Citation
Scientometrics, v.113, no.1, pp.1 - 16
Indexed
SCIE
SSCI
SCOPUS
Journal Title
Scientometrics
Volume
113
Number
1
Start Page
1
End Page
16
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/11594
DOI
10.1007/s11192-017-2472-1
ISSN
0138-9130
Abstract
This article introduces a method for identifying potential opportunities of innovation arising from the convergence of different technological areas, based on the presence of edge outliers in a patent citation network. Edge outliers are detected via the assessment of their centrality; pairs of patents connected by edge outliers are then analyzed for technological relatedness and past involvement in technological convergence. The pairs with the highest potential for future convergence are finally selected and their keywords combined to suggest new directions of innovation. We illustrate our method on a data set of US patents in the field of digital information and security. © 2017, Akadémiai Kiadó, Budapest, Hungary.
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ERICA 공학대학 (DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING)
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