基于专利复杂网络的技术知识演化分析与统计

Wei Zheng
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引用次数: 0

摘要

从知识网络的视角研究技术网络的演化规律,可以了解技术演化机制,把握技术发展趋势,对制定合理有效的技术创新规划具有一定的指导意义。基于PatSnap数据库,获取风电行业1900-2019年的专利数据,根据专利号变化划分技术知识生命周期和logistic s曲线,并根据引文关系构建专利网络知识图谱进行分析。研究结果表明:知识网络从萌芽阶段的无标度网络向小世界网络演化,核心专利之间的联系减弱,整体专利节点内聚性增强,H02J3分类技术占比扩大;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical knowledge evolution analysis and statistics based on patent complex network
From the perspective of knowledge network, the research on the evolution law of technology network can understand the technology evolution mechanism and grasp the trend of technology development, which has certain guiding significance for formulating reasonable and effective technological innovation planning. Based on the PatSnap database, the patent data of the wind power industry (1900-2019) was obtained, the technical knowledge life cycle was divided according to the change of patent number and logistic s curve, and the knowledge graph of the patent network was constructed according to the citation relationship for analysis. The results show that the knowledge network evolves from the embryonic scalefree network to the small-world network, the connection between core patents weakens, overall patent node cohesion enhanced and the proportion of H02J3 classification technology expands.
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