The Network Structure of Digital Economy

This excerpt discusses the differences between traditional economic activities and those in the digital economy, particularly in the realm of data-related industries. In the digital economy, there are distinct characteristics that set it apart, which are mirrored in a new network structure that differs from traditional industries. The research establishes four types of network structures for the data ecosystem, which involve components like data factors, cloud technology, and pre-trained transformers (such as GPT). By employing the SIS (Susceptible-Infectious-Susceptible) model, the research illustrates that the rate of innovation equilibrium within the data ecosystem is higher than that within the traditional innovation ecosystem. Additionally, the study conducts a comparative static analysis of the four network structures, examining them across various ratios of innovation diffusion rate to iteration rate. In summary, the research sheds light on the distinct nature of the digital economy, showcases new network structures in the data ecosystem, and emphasizes the higher innovation rate within this ecosystem compared to traditional industries