Many Teachers’ Academic Papers of the School of Management have been Selected into the F5,000 Top Articles in Outstanding S &T Journals of P.R.C.

Recently, the paper “Bee Colony Algorithm for Function Optimization” published by Associate Professor Liu Yong and Professor Ma Liang in the 2012-06 issue of Control and Decision (EI), a Chinese outstanding science and technology journal, has been selected as one of the 2014 “Frontrunner 5,000 Top Articles in Outstanding S&T Journals of P.R.C.” whereas Professor  Guo Jinli’s paper “Scalar Law Emergence in Hypernetworks” is published in Acta Physica Sinica (SCI), 2014-09, a Chinese outstanding science and technology journal, as well as a Chinese authoritative journal in physics. And the paper “Emergence of scalar law in non-homogeneous super networks - Does the rich getting richer lead to power law distribution?” is published in 2014-20, has been selected as one of the 2019 “Frontrunner 5,000 Top Articles in Outstanding S&T Journals of P. R. of China”.
The paper “Bee Colony Algorithm for Function Optimization” proposes a new Bee Colony optimization algorithm based on the characteristics of bee swarm foraging. The results of this paper, which are of a good reference value for the research of artificial intelligence algorithm, a milestone achievement for the School of Management, USST around the goal of building a high-level university, reflect the research features of the two Grade A Doctoral Program disciplines of System Science, and Management Science and Engineering. The paper “Scalar Law Emergence in Hypernetworks” constructs a unified evolutionary model in hypernetworks and complex networks to study the evolution mechanism and topological properties of scale-free properties of hypernetworks. The Poisson process theory and continuity method are used to analyze the model, and the analytical expression of steady-state average overdegree distribution is obtained. A model for the evolution of a nonlinear meritocratic connected non-homogeneous hypernetwork is developed in the paper “Emergence of scalar law in non-homogeneous super networks - Does the rich getting richer lead to power law distribution?” The paper shows that this network is characterized by the phenomenon of “the rich getting richer”, and through simulation experiments, it is found that as the size of the network increases, the superdegree distribution of this dynamically evolving non-homogeneous hypernetwork exhibits the characteristics of a straightened exponential distribution, not necessarily a power-law distribution, so “the rich getting richer” does not necessarily lead to a power-law distribution.