Abstract：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.
吴洁, 谢小东, 盛永祥, 桂亮. 创新联合体潜在合作伙伴选择研究[J]. 复杂系统与复杂性科学, 2024, 21(2): 104-111.
WU Jie, XIE Xiaodong, SHENG Yongxiang, GUI Liang. Research on the Selection of Potential Partners of Innovation Consortium[J]. Complex Systems and Complexity Science, 2024, 21(2): 104-111.
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