摘要
为研究创新联合体构建过程中如何合理有效地挑选潜在合作伙伴,充分发挥创新联合体在实现高水平科技自立自强中的战略作用,构建了基于专利异构网络和SimRank算法的创新主体技术背景相似度计算方法,借助可视化方法展现潜在合作关系网络,结合谱聚类算法划分创新联合体潜在合作伙伴。在高分子材料领域进行实证分析,实证结果较好地展示了该领域创新主体的潜在合作关系和技术背景高度相似的创新主体聚类结果,证实了研究理论和方法的有效性,为创新联合体伙伴选择提供参考。
To explore how to reasonably and effectively select potential partners in the process of constructing innovation consortia,maximizing the strategic role of innovation consortia in achieving high-level scientific and technoligical self-reliance and strength,this paper introduces a method for computing the technical background similarity of innovative entities based on patent heterogeneity networks and the SimRank algorithm.By using visualization techniques,we display potential collaboration networks and leverage the spectral clustering algorithm to categorize potential partners for the innovation consortium.Through empirical analysis in the field of polymer materials,the results effectively showcase potential collaborative relationships and clusters of innovative entities with highly similar technical backgrounds in this field.This confirms the validity of our theoretical approach and methodology,offering guidance for the selection of partners in innovation consortiums.
作者
吴洁
谢小东
盛永祥
桂亮
WU Jie;XIE Xiaodong;SHENG Yongxiang;GUI Liang(School of Economics and Management,Jiangsu University of Science and Technology,Zhenjiang 212003,China)
出处
《复杂系统与复杂性科学》
CAS
CSCD
北大核心
2024年第2期104-111,共8页
Complex Systems and Complexity Science
基金
国家自科基金面上项目(72171122)。
关键词
创新联合体
专利信息
异构网络
技术背景相似度
潜在合作伙伴
innovation consortium
patent information
heterogeneous network
similarity of technical background
potential partners