Title :
Notice of Retraction
Study on the evolution of the innovation network in view of self-organizing theory
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Technol., Beijing, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Based on the analysis of the dissipative structure about the innovation network with openness, nonlinear, non-equilibrium and self-organizing characteristics, this paper builds a self-organizing model of the innovation network, and then makes a thorough study in the evolution law of the innovation network. The research finds that the self-organizing characteristics of the innovation network mainly show in two aspects, that is, the mutual action among innovation agents and the mutual action between the network and the environment. Furthermore, it is found that the evolution process of the innovation network can be divided into three stages: incubation period, growth period and mature period.
Keywords :
evolutionary computation; large-scale systems; nonlinear systems; self-adjusting systems; complex systems; dissipative structure; growth period; incubation period; innovation agents; innovation network evolution; mature period; nonequilibrium characteristics; nonlinear characteristics; openness characteristics; self-organizing characteristics; self-organizing theory; Software; Technological innovation; Dissipative structure; Evolutionary model; Self-organizing; The innovation network;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
DOI :
10.1109/ICCASM.2010.5620796
