Robustness Evolution of Collaborative Innovation Network in China's Smart Grid Industry

Abstract

Clarifying the evolution trend of network robustness is of great significance to how to protect and maintain the structure and performance of collaborative innovation networks of China's smart grid industry. This paper takes the collaborative innovation network of China's smart grid industry as the research object, expounds the connotation of static and dynamic network robustness evolution, simulates the damage of network structure, and determines the measurement index of network robustness. The static network robustness in different evolution stages is analyzed from four aspects: node random failure, node deliberate failure, connection random failure and connection deliberate failure. The cascading failure process of the network is simulated, and the dynamic network robustness in different evolution stages is studied from two aspects: node random failure and node deliberate failure. It is found that the robustness of collaborative innovation networks in China's smart grid industry is increasing, the static network robustness is better than the dynamic network robustness, and the network robustness in the face of random failure is stronger than that of deliberate failure. Based on this, this paper puts forward some countermeasures and suggestions for the robustness optimization of collaborative innovation networks from the aspects of network subject heterogeneity and multidimensional proximity.

Keywords: Collaborative innovation network, Network robustness evolution, Smart grid industry