title: A knowledge generation model via the hypernetwork.
abstract: The influence of the statistical properties of the network on the knowledge diffusion has been extensively studied. However, the structure evolution and the knowledge generation processes are always integrated simultaneously. By introducing the Cobb-Douglas production function and treating the knowledge growth as a cooperative production of knowledge, in this paper, we present two knowledge-generation dynamic evolving models based on different evolving mechanisms. The first model, named "HDPH model," adopts the hyperedge growth and the hyperdegree preferential attachment mechanisms. The second model, named "KSPH model," adopts the hyperedge growth and the knowledge stock preferential attachment mechanisms. We investigate the effect of the parameters (α,β) on the total knowledge stock of the two models. The hyperdegree distribution of the HDPH model can be theoretically analyzed by the mean-field theory. The analytic result indicates that the hyperdegree distribution of the HDPH model obeys the power-law distribution and the exponent is γ = 2 + 1/m. Furthermore, we present the distributions of the knowledge stock for different parameters (α,β). The findings indicate that our proposed models could be helpful for deeply understanding the scientific research cooperation.
authors.affiliation: Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
authors.forename: Jian-Guo
authors.initials: JG
authors.lastname: Liu
authors.affiliation: Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
authors.forename: Guang-Yong
authors.initials: GY
authors.lastname: Yang
authors.affiliation: Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
authors.forename: Zhao-Long
authors.initials: ZL
authors.lastname: Hu
mesh_terms: D022126:Access to Information; D000465:Algorithms; D003142:Communication; D003198:Computer Simulation; D033181:Information Dissemination; D019359:Knowledge; D007858:Learning; D015233:Models, Statistical; D011336:Probability; D011642:Publications; D012586:Science / Q000379:methods