Do main paths reflect technological trajectories? Applying main path analysis to the semiconductor manufacturing industry
Bibliographic Data
| ID | 21442282 |
|---|---|
| Authors | Flavia Filippin (0000-0003-0010-0426, United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology, corresponding author) |
| Year | 2021 |
| Volume | 126 |
| Issue | 8 |
| Pages | 6443-6477 |
| Publication date | 2021-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-021-04023-9 |
| OpenAlex | W3177345070 |
| Language | EN |
| Citations received | 5 |
| References cited | 23 |
It has been proposed that main path analysis can be used to identify technological trajectories in patent-citation networks. In this paper, the method is applied to a network composed of one million US patents and eight million citations in order to trace the backbone of the technological trajectory of the semiconductor manufacturing industry. An in depth discussion of the method is presented, focusing on the many parameters that can be adjusted while applying it and on the consequences of adjusting any of them. Moreover, and differently from other papers on the subject, the result of the algorithm is analysed to determine if it indeed represents the most important technological contributions to the trajectory or if it is merely a collection of relevant and connected patents. This is made easier by the fact that the semiconductor industry has a clear and widely known technological trajectory that spans more than 50 years, Moore's law
Business · Citation · Electrical engineering · Industrial engineering · Manufacturing engineering · Network analysis · Operations research · Order (exchange) · Path (computing) · Semiconductor device fabrication · Semiconductor Industry · Subject (documents) · TRACE (psycholinguistics) · Trajectory · Computer Science · Economic and Technological Innovation · Engineering · Innovation and Knowledge Management · Intellectual Property and Patents · Mathematics
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| Citations per year | 2.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |