Research on Patent Valuation Based on Social Network Analysis Method

DOI

10.2991/978-94-6463-064-0_122How to use a DOI?

Keywords

social network analysis method; patent value evaluation; Poisson regression

Abstract

In the era of rapid updating of patent technology, it is increasingly important to identify the value of patent. Through the study and selection of the previous patent valuation literature, this paper adopts the social network analysis method to select the patent valuation index, and uses Poisson regression method to analyze the impact of patent valuation index on patent value and determine the patent valuation model. The results show that the results of patent value obtained by the model in this paper are basically consistent with those obtained by Bateng patent database, indicating that the patent value evaluation model obtained by social network analysis method and Poisson regression in this paper can evaluate the value of invention patents more conveniently and accurately.

Copyright

© 2023 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  - Xuemei You
AU  - Mingming Zhang
AU  - Yangli Yu
PY  - 2022
DA  - 2022/12/27
TI  - Research on Patent Valuation Based on Social Network Analysis Method
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 1168
EP  - 1175
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_122
DO  - 10.2991/978-94-6463-064-0_122
ID  - You2022
ER  -