The Influence Factors of Innovation Networking Based on Ergm : Evidence from the Smart Medical Industry

With the growth of the social economy and technology, innovation networks have emerged as one of the most significant methods for analyzing the evolution of industrial innovation. Yet, there is a shortage of study analyzing the components that influence network creation. With the advent of Internet-based diagnosis and treatment technologies, the smart medical sector has originally taken the form of a network. This study builds an innovation network by sorting the patent data of China's smart medical industry cooperation from 2005 to 2022 in the IncoPat database. The ERGM approach is utilized to do regression analysis on endogenous structure factors, node feature variables such as node emergence time and institutional attributes, and the distance network and IPC attribute network. By examining the driving mechanism and influence mechanism that influence the innovation network, this study contributes to the smart medical industry research by gaining a better understanding of its current status of innovation network, which can be advantageous for businesses in this field to accurately recognize and actively promote their innovation practices