Mapping the Inventive Structure in Middle-Low Income Countries—The Patent Network of Colombia

Julián D. Cortés, María Catalina Ramírez-Cajiao

Research output: Chapter in Book/ReportConference contribution

Abstract

Patentometrics studies in middle-low-income countries is an emergent field. This study aims to unveil the inventive structure of Colombia from 1983–2021 as a pilot case. Applying the co-word analysis network analysis to the IPC (International Patent Classification) subclasses of +2,900 patents granted to inventors/applicants with Colombian affiliation/origin, we constructed the inventive network for three periods 1983–2000, 2001–2010, 2011–2021, and detected highly strategic IPC subclasses. Furthermore, we identify the structural changes by IPC sections and highlight the clustering properties of IPC sections for Colombia, such as C-Chemistry, metallurgy; A-Human necessities; B-Performing operations, transporting; G-Physics; and F-mechanical engineering, lighting, heating, weapons, blasting.

Original languageEnglish (US)
Title of host publicationWisdom, Well-Being, Win-Win - 19th International Conference, iConference 2024, Proceedings
EditorsIsaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, Anne J. Gilliland
PublisherSpringer Science and Business Media Deutschland GmbH
Pages131-137
Number of pages7
ISBN (Print)9783031578595
DOIs
StatePublished - 2024
Event19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024 - Changchun, China
Duration: Apr 15 2024Apr 26 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14597 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024
Country/TerritoryChina
CityChangchun
Period4/15/244/26/24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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