摘要
利用熵对一类网络交互动力学过程——有限容量模型的网络扩散系统复杂性进行研究,探讨局部拓扑与路由容量这两个关键性因素对其复杂性的影响,并根据熵最大原则确定最优动力学过程的系统参数和高效率路由策略.
Taking advantage of entropy to explore a kind of network interaction mechanics process, the network diffusion’s system complexity of finite volume model, to discuss the influence which the two key factors, local topology and routing capacity have on its complexity, to determine the optimal dynamics process’s system parameters and the efficient routing strategy, according to the principle of maximum entropy.
出处
《湖北文理学院学报》
2015年第2期9-12,共4页
Journal of Hubei University of Arts and Science
关键词
有限容量模型
熵
路由容量
局部拓扑
偏向因子
Finite volume model
Entropy
Routing capacity
Local topology
Bias factor