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An Empirical Study on the Determinants of Collaborative Innovation Network Formation:Based on the ERGM |
GUO Jianjie,XIE Fuji |
1. Shanghai University, Shanghai, China; 2. Shanghai Jiao Tong University, Shanghai, China |
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Abstract This paper uses the joint patent data of telecommunication industry to construct the collaborative innovation network among industry, university and research institute from the perspective of social network. And identifies the factors of the endogenous network configuration and the exogenous node attribute influencing the formation of collaborative network formed. Based on the Exponential Random Graph Model (ERGM), it analyzes the influence of endogenous and exogenous factors on the formation of collaborative innovation network. The results implicate that collaborative innovation network is the embodiment of collaborative relationship socialization, and its formation is influenced by the interaction of endogenous and exogenous factors. The edge structure of the network shows significant sparse effect. The network is easy to form the star structure and triangle structure for resource sharing and exchange. The cooperative openness and regional matching of the organization in the network can increase the connection probability between network nodes, while the collaborative innovation ability and organization type matching do not play a significant role in promoting the formation of new relations in the network.
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Received: 27 February 2020
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