作者: Bor-Sen Chen , Ying-Po Lin
DOI: 10.4137/EBO.S10685
关键词: Computer science 、 Ecological systems theory 、 Robustness (evolution) 、 Ecological network 、 Partial derivative 、 Clinical science 、 Nonlinear system 、 Biological network 、 Gene regulatory network 、 Data science 、 Mathematical optimization
摘要: In ecological networks, network robustness should be large enough to confer intrinsic for tolerating parameter fluctuations, as well environmental resisting disturbances, so that the phenotype stability of networks can maintained, thus guaranteeing robustness. However, it is difficult analyze systems because they are complex nonlinear partial differential stochastic systems. This paper develops a unifying mathematical framework investigating principles both robust stabilization and disturbance sensitivity in networks. We found criterion if + % robustness, then maintained spite fluctuations disturbances. These results similar gene regulatory evolutionary even have different spatial-time scales.