• DocumentCode
    3758728
  • Title

    Research on the evolution of industry-university-research cooperation innovation network based on improved traditional scale-free network

  • Author

    Cao Xia;Zhang Lu-peng;Liu Guo-wei

  • Author_Institution
    School of Economic and Management, Harbin Engineering University, Harbin Engn Univ, Sch Econ & Management, Harbin, China 150001
  • fYear
    2015
  • Firstpage
    437
  • Lastpage
    445
  • Abstract
    With the progress of industry-university-research (I-U-R)cooperation innovation, the development and evolution of I-U-R cooperation innovation network has become a new research topic in the field of management science in recent days. The mechanism of "growth-prioritization - preference" in the process of I-U-R cooperation innovation is analyzed and presented in this work in accordance to the I-U-R cooperation network development features. The concepts of complex network were applied to the I-U-R cooperation innovation network, which solved the problems of node heterogeneity and connecting randomness in fitness model of complex network and build the evolution model of I-U-R cooperation innovation network. The computer simulations have shown that with the evolution of innovation network, node degree distribution presents a form of "edge - karyotype" with decrease in the average path length and increase in the clustering coefficient of the network.
  • Keywords
    "Manganese","Decision support systems","Technological innovation","Complex networks","Fluctuations"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2015 IEEE
  • Print_ISBN
    978-1-4799-1979-6
  • Type

    conf

  • DOI
    10.1109/IAEAC.2015.7428591
  • Filename
    7428591