Abstract
The artificial intelligence (AI) industry has become an important driver of economic development worldwide. Transnational technological collaborative innovation hypernetworks can help explain how AI-related technologies, inventors, and regions are jointly connected in global innovation activities. Based on the hypernetwork theory, this study moves beyond the node and edge homogeneity assumed in traditional single-layer networks and incorporates heterogeneous entities into a unified analytical framework. Then, a hypernetwork model is constructed to analyze transnational AI technological collaborative innovation. Specifically, technologies, inventors, and regions are modeled as three types of nodes, while both intra-layer relationships and cross-layer relationships are represented within the hypernetwork. The results show that (1) the US, GB, DE, CN, IN, FR, and CA are important nodes in the region subnetwork; (2) Justine Gottschlich, Prasoonkumar Surti and Saras Baghsorkhi are important nodes in the inventor subnetwork; (3) G06N3/08 and G06K9/00 are important nodes in the technology subnetwork; (4) the technology-inventor-region combination of G06K9/00, Fan Zhu, and the US has the strongest radiation and diffusion effect in the hypernetwork. This study provides a theoretical basis and practical guidance for understanding the transnational AI technological collaborative innovation.