Evolutionary model of multi-agent collaborative innovation based on cross-level network
The existing collaborative innovation network research mainly focuses on the construction of a single homo-geneous collaborative innovation network,and most of them have not fully considered the interaction between multi-ple different subjects and their interactive evolution.Therefore,by decoupling a single homogeneous network with the super network theory and considering the problem of subject heterogeneity and the factors influencing network e-volution,a multi-subject collaborative innovation evolution model of cross-level network containing cooperation net-work,knowledge network and innovation outcome layer was constructed,and a simulation analysis of cross-level network evolution and innovation performance change under different cooperation subject selection strategies were conducted.It was found that the new round of knowledge transfer of the subject would increase the connection of knowledge nodes,and the distribution of the connection between the cooperative network and the knowledge net-work was complex and increasing.The network had a high average knowledge level in the preferred connection mechanism based on node degree and supplemented by knowledge distance,which could promote innovation per-formance.Finally,the management strategies for partner selection,encouragement of core enterprises and universi-ties,scientific research institutions and reasonable control of knowledge distance were presented.