Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis
Summary. This paper analyzes 432 research papers on regional innovation systems from 36 countries using social network analysis and bibliometrics. The authors map keyword co-occurrence and author networks to visualize how RIS research has evolved and identify publication trends. The analysis reveals knowledge development patterns across countries, institutions, and researchers, providing insights into how the RIS framework has developed as a foundation for innovation policy.
Cite this article
Lee, P. C., & Su, H.. (2010). Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis. Innovation. https://doi.org/10.5172/impp.12.1.26
Lee, Pei Chun, and Hsin‐Ning Su. “Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis.” Innovation, 2010. https://doi.org/10.5172/impp.12.1.26.
Lee, Pei Chun, and Hsin‐Ning Su. 2010. “Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis.” Innovation. https://doi.org/10.5172/impp.12.1.26.
@article{lee-2010-investigating-structure-regional-innovation-system,
title = {Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis},
author = {Pei Chun Lee and Hsin‐Ning Su},
journal = {Innovation},
year = {2010},
doi = {10.5172/impp.12.1.26},
url = {https://doi.org/10.5172/impp.12.1.26}
}
TY - JOUR TI - Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis AU - Pei Chun Lee AU - Hsin‐Ning Su JO - Innovation PY - 2010 DO - 10.5172/impp.12.1.26 UR - https://doi.org/10.5172/impp.12.1.26 ER -
Details
- DOI
- 10.5172/impp.12.1.26
- Categories
- regional-innovation-systems, innovation-theory, policy, general-innovation
- Added
- 2026-04-28