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| Modeling Industry Technology Flow Network and its Structural Effects |
| Yin Chong |
| Institute of Science & Technology for Development of Shandong （ISTD）, Jinan 250014, China |
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Abstract From the perspective of complex network to describe the inter-industrial technology diffusion, this paper developed the modeling and structural analysis method of Industry Technology Flow Network (ITFN) based on Probability Theory and Network Technology. ITFN is defined as random, dynamic and complex network. The connection rule of V-ITFNs based on the joint probity distribution of the dimensional random variables of the product innovation and the process innovation was proposed and H-ITFNs were built according to the similarity of industry technology. On the ITFNs, the degree distribution and correlation revealed the dynamic structural effects of the inter-industry technology diffusion. Such optimization models as the center-periphery hierarchical network and trees showed the driving effects of technology diffusion on the industrial structure upgrading. And the centrality characterized the spilling, assimilating and conduction effects of the industry. The models were verified by the Chinese industrial technology system.
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Received: 14 February 2017
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Corresponding Authors:
Yin Chong
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