Percolation Mechanism on University——Industry Cooperative Network: Network of Networks Perspective Study on the Role and Geography

Abstract

Abstract:

Connectivity is very important to University-Industry (U-I) cooperative network for R&D cooperation and technology spillover. Here, we introduce the percolation theory of network science, and we present a mathematical framework based on generating functions for analyzing an interacting network with any connection probability, from the role and geographical dual perspective. Then, we illustrate the percolation threshold and structural parameter arithmetic in the sub-critical and supercritical regimes to the Beijing-Tianjin-Hebei biomedical U-I cooperative network. By simulation analyzing, we compare the effects of different guarantee strategy. Empirical results show that regional percolation threshold is lower than the roles of the real U-I cooperative network; and compared with the contribution of cooperation between enterprises, universities and research institutes play a key role to network connectivity due to their original innovation and intermediary character; reliance within connection, Beijing and Tianjin U-I cooperative network shows a significant "Twin Towers" effect on the connectivity. We also find that the moderate degree protection strategy can grantee the network connectivity and particularly has a better effect when connecting probability is greater than 65%. The results from this study could be applied by government to regulate, control, restructure and monitor the network resilience.

Key words: university-industry cooperative network, connectivity, risk of cooperative innovation, network resilience, percolation

Li Chenguang, Zhao Jixin. Percolation Mechanism on University——Industry Cooperative Network: Network of Networks Perspective Study on the Role and Geography[J]. , 2019, 31(8): 110-122.

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