Evolutionary mechanisms of artificial intelligence scientific and technological cooperation networks

Based on social network theory, this paper utilizes co-authored papers and jointly authorized invention patents in the field of artificial intelligence from 2010 to 2024 to construct scientific and technological cooperation networks. This paper uses stochastic actor-oriented models to conduct a comparative analysis of the evolution mechanism of scientific and technological cooperation networks. The results show that density has a greater negative impact on the evolution of technological networks than on scientific networks. Transitive triads have a greater positive impact on the evolution of technological networks than on scientific networks. Network-isolates have a greater positive impact on the evolution of scientific networks than on technological networks. The administrative level promotes the evolution of technological networks by attracting partners and actively establishing ties. However, in scientific networks, nodes with high administrative levels find it difficult to establish new ties. Geographical proximity has a positive impact on the evolution of technological networks. Technological proximity has a negative impact on the evolution of technological networks. Cultural proximity has a greater positive impact on the evolution of technological networks than on scientific networks. Social proximity has a greater positive impact on the evolution of scientific networks than on technological networks.