Chang-Gui Gu

  • Citations Per Year
Learn More
Functionalities of a variety of complex systems involve cooperations among multiple components; for example, a transportation system provides convenient transfers among airlines, railways, roads, and shipping lines. A layered model with interacting networks can facilitate the description and analysis of such systems. In this paper we propose a model of(More)
This manuscript serves as an online supplement of a preprint, which presents a study on a kind of bilayer networks where some nodes (called interconnecting nodes) in two layers merge. A model showing an important general property of the bilayer networks is proposed. Then the analytic discussion of the model is compared with empirical conclusions. We present(More)
We present a model, in which some nodes (called interconnecting nodes) in two networks merge and play the roles in both the networks. The model analytic and simulation discussions show a monotonically increasing dependence of interconnecting node topological position difference and a monotonically decreasing dependence of the interconnecting node number on(More)
In this paper, we present the empirical investigation results on the neuroendocrine system by bipartite graphs. This neuroendocrine network can describe the structural characteristic of neuroendocrine system. The act degree distribution and cumulate act degree distribution show so-called “shifted power law” (SPL) function forms. And the similarity of(More)
Complex networks provide us a new view for investigation of complex systems. In this paper we collect data through STRING database and present an cytokine-protein network model with cooperation network theory. The results show that this model could describe the cytokine-protein collaboration preferably.The basic attributes of this network is well consistent(More)
Motivation: In this paper we present an immune model with bipartite graphs theory. We collect data through COPE database and construct an immune cytokine network. The act degree distribution of this network is proved to be power-law,with index of 1.8. The network is scale-free, with assortativity of –0.27 and similarity of 0.13. The results show that this(More)
  • 1