Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)

Research on the Construction of Technology Co-opetition Network Based on Patents and Its Application in Industrial Analysis

Authors
Yan Li1, *, Yingfan Gao1, Di Cui1, Mo Pu1, Ming Yuan1
1Institute of Scientific and Technical Information of China, Beijing, China
*Corresponding author. Email: liy@istic.ac.cn
Corresponding Author
Yan Li
Available Online 22 August 2024.
DOI
10.2991/978-94-6463-498-3_13How to use a DOI?
Keywords
Patent Analysis; Co-opetition Relation Analysis; Text Similarity Recognition; Co-opetition Network Construction; Industry Analysis
Abstract
Objective

This study constructs a technology co-opetition network based on patent data, which then reveals the competitive and collaborative relationships in the technological field. By analyzing the innovation characteristics and advantages of enterprises, industries, and regions, it provides important theoretical and practical guidance for technological innovation and industrial development.

Methods

The main research methodology of this study proceeds in three steps: “identification of technological competitors, construction of co-opetition network, and industrial analysis.” This involves methods such as patent metrics, social network analysis, complex network analysis, as well as text analysis algorithms including natural language processing and similarity calculation.

Results

By constructing competitive-cooperative networks for the upstream, midstream, and downstream sectors, as well as for the segmented industries of the rare-earth permanent magnet industry, and by calculating data such as the competitive-cooperative coefficient, it is possible to conduct a targeted analysis of the current state of the industry. Incorporating multi-dimensional analysis that includes cities and industries not only reveals the competitive-cooperative status but also allows for targeted policy recommendations to local governments.

Limitations

This study has some limitations and shortcomings, such as the lack of uniformity in the indicators for relationships in the co-opetition network. That is, the current network analysis treats the co-opetition network as an unweighted network, but in reality, the network exists with different weight of competitive relation, cooperative relation, and potential cooperative relation.

Conclusions

This study provides a new method for industry analysis by delving into the content of patent texts and constructing a co-opetition network for industrial analysis. The method is highly operational and interpretable, allowing for its application in various fields of analysis.

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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Volume Title
Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
22 August 2024
ISBN
978-94-6463-498-3
ISSN
2352-5428
DOI
10.2991/978-94-6463-498-3_13How to use a DOI?
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.

Cite this article

TY  - CONF
AU  - Yan Li
AU  - Yingfan Gao
AU  - Di Cui
AU  - Mo Pu
AU  - Ming Yuan
PY  - 2024
DA  - 2024/08/22
TI  - Research on the Construction of Technology Co-opetition Network Based on Patents and Its Application in Industrial Analysis
BT  - Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)
PB  - Atlantis Press
SP  - 151
EP  - 162
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-498-3_13
DO  - 10.2991/978-94-6463-498-3_13
ID  - Li2024
ER  -