Su Yi, Lv Ao, Zhi Pengfei, Chai Jiahui, Tian Jingjing
Harbin Engineering University, Harbin, China.
Jilin University, Changchun, China.
Sci Data. 2025 Jul 14;12(1):1220. doi: 10.1038/s41597-025-05589-2.
With the increasing complexity of technology, cross-regional joint patent applications and patent transfers have become a prominent component of knowledge activities, attracting substantial attention of academic researchers. To examine the state and distribution characteristics of inter-city knowledge flows, this study utilizes patent data from the China National Intellectual Property Administration database and conducts in-depth data exploration to construct two urban knowledge networks (UKN). Specifically, over 1.23 million value co-creation patents are extracted to develop the urban value co-creation knowledge network (UKN-C), while more than 1.42 million technology transfer patents are refined to establish the urban technology transfer knowledge network (UKN-T). Both UKNs start with cities as nodes and knowledge connections between cities as edges. The edges of UKN-C are weighted by the volume of value co-creation patents, whereas the edges of UKN-T are weighted by the volume of technology transfer patents. To facilitate further research, the geographically explicit and spatial-temporal knowledge flow networks have been released in a simple and accessible format.
随着技术复杂性的不断增加，跨区域联合专利申请和专利转让已成为知识活动的一个突出组成部分，吸引了学术研究人员的大量关注。为了考察城市间知识流动的状态和分布特征，本研究利用国家知识产权局数据库中的专利数据，并进行深入的数据探索，构建了两个城市知识网络（UKN）。具体而言，提取了超过123万项价值共创专利，以构建城市价值共创知识网络（UKN-C），同时提炼了超过142万项技术转让专利，以建立城市技术转让知识网络（UKN-T）。两个城市知识网络均以城市为节点，城市之间的知识连接为边。UKN-C的边由价值共创专利的数量加权，而UKN-T的边由技术转让专利的数量加权。为便于进一步研究，地理明确且具有时空特征的知识流动网络已以简单易懂的格式发布。
