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| Research on Knowledge Innovation Cooperation Network in the Middle Reaches of the Yangtze River |
| Xie Weiwei1,Deng Hongbing1,2,Su Panda1 |
| （1. School of Economics of Management, China University of Geoscience; 2. Institutes of Soft Science on Regional Innovation Capacity Monitoring and Analysis, Wuhan 430074, China) |
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Abstract Using the high level thesis cooperation to construct the cooperation network of knowledge innovation from 2006 to 2017 in the middle reaches of the Yangtze River. We analyzed the evolutionary trends and the characteristics of complex networks, and also explored the proximity mechanism of innovation cooperation network. The results show that: in terms of the overall structure of the knowledge innovation network, the network scale and contact strength have become increasingly stable. What's more, a multi-center structure with Changsha, Wuhan and Nanchang as the core is basically formed. The nodes of network have obvious hierarchical levels. Through the analysis of the characteristic path length and agglomeration coefficient, it is found that the knowledge cooperation network in the middle reaches of the Yangtze River has small-world features, but the scale-free characteristics of the network are not obvious. The QAP (quadratic assignment procedure) regression results indicate that the geographical proximity, social proximity, technological proximity, and human capital proximity all have a significant impact on the knowledge cooperation networks.
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Received: 13 March 2019
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