A Novel Indicator for Measuring Science-technology Linkage Based on Paper-patent Co-cited

DOI

10.2991/978-94-6463-552-2_5How to use a DOI?

Keywords

patent; paper; co-citation; science-technology linkage

Abstract

This paper proposes a novel method for measuring the linkage between science and technology (S&T) based on the co-citation of patents and academic papers. This method differs significantly from the Science Linkage (SL) index, a science-based index first proposed by Narin. By analyzing the co-citation of patents and papers in references, we can detect the relationship of S&T. This method uses the co-citation strength of papers and patents in references to characterize the strength of S&T linkage. The citations of patent databases in some countries and regions are incomplete, making it difficult to calculate the relevance of S&T by the SL method based on direct citation. However, the method based on patent-paper co-citation proposed in this paper is effective. The author also applied the approach to patent-citing documents registered between 2001 and 2015 from the United States, Germany, France, Australia, South Korea, and Canada (hereinafter referred to as the five countries) and checked the performance. Results showed that the proposed approach and the indirect S&T linkages (indSL), a new indicator, are valuable for detecting the relationship of S&T.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yiru Liu
AU  - Ruizhe Zhou
AU  - Hanyu Zhang
AU  - Huijun Sun
PY  - 2024
DA  - 2024/10/27
TI  - A Novel Indicator for Measuring Science-technology Linkage Based on Paper-patent Co-cited
BT  - Proceedings of the 4th International Conference on Management Science and Software Engineering (ICMSSE 2024)
PB  - Atlantis Press
SP  - 36
EP  - 54
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-552-2_5
DO  - 10.2991/978-94-6463-552-2_5
ID  - Liu2024
ER  -