Optimization of Collaborative Innovation Path of Intelligent Connected Automobile Industry from the Perspective of Resource Similarity
In order to explore the correlation mechanism of industrial collaborative innovation and improve the efficiency of collaborative innovation resource allocation,based on the technology patent cooperation of China's intelligent connected automobile industry from 2015 to 2022,this paper uses the similarity between nodes to estimate the link possibility between unconnected nodes,and makes correlation prediction by integrating the similarity index.Based on the resource similarity theory and link prediction model,the potential R&D cooperation trend of innovation entities is inferred,and the optimization path of collaborative innovation network is proposed.The findings are as follows:the scale of collaborative innovation network of intelligent connected automobile industry is expanding day by day;the overall network distribution is loose;the collaborative cooperation of network entities is dominated by weak connection relationship;the agglomeration of multi-core technologies has not yet formed,which is not conducive to the greater scope of resource sharing of innovation entities.According to the prediction effect of technological cooperation link of innovation entities,the collaborative innovation network of intelligent connected automobile industry tends to preferentially connect mechanism and establish connection relationship with innovation entities with a large number of neighbor nodes.Combining CN,RA and ACT indicators,it is found that the preferred cooperation objects of new nodes in the future are mostly innovation subjects of the core nodes of the network;the cooperation between auto parts enterprises is the most common,and the possibility of collaborative innovation between automobile and communication enterprises,Internet and electronic information enterprises is the largest.
万方数据
维普
