基于异质专利创新网络的专利权人的影响评估
1School of Management, Shanghai University, Shanghai, 200444, China.
Heliyon
|May 28, 2024
概括
本研究引入了一种使用异质信息网络评估专利权影响的新方法. 该算法有效地衡量了对可持续发展的贡献,并确定了关键创新者.
科学领域:
- 创新研究 研究 创新研究
- 知识产权管理知识产权管理
- 网络科学 网络科学
背景情况:
- 专利权对技术创新的影响至关重要.
- 分析专利权的现有方法缺乏客观性.
- 均质信息网络和专利指标量化有其局限性.
研究的目的:
- 提出一种评估专利权影响的新方法.
- 开发一种新的算法来评估专利持有者的贡献.
- 为了解决以前的专利分析方法的局限性.
主要方法:
- 构建一个异构的信息网络.
- 采用加权机制来区分节点的重要性.
- 提取网络节点的细粒度特征.
- 开发CWAPN (专利权人网络上下文认知权重算法) 算法.
主要成果:
- 不同质的专利创新网络实际上代表着专利权关系.
- 在影响评估方面,CWAPN算法表现出卓越的性能.
- 使用中国绿色专利进行的实验验证证证了该算法的有效性.
结论:
- 拟议的异质网络方法提供了对专利权影响的客观衡量标准.
- CWAPN算法准确地识别了可持续发展中的重要专利权所有者.
- 这项研究有助于理解和促进绿色技术的创新.
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