拓扑结构对网络承载能力的影响

 通过建立3 种典型的复杂网络模型及对应的输运模型,数值计算并仿真试验拓扑结构指标和网络承载能力的变化.结果显示:3 种网络承载能力的数值计算结果和仿真试验结果基本吻合;核心节点的存在使得无标度网络的节点最大介数值所占比重高于其他网络,导致网络的承载能力最小;随机网络的节点最大介数值所占比重低于其他网络,导致承载能力最大;随着平均度的增大,各类型网络承载能力增加明显,但各种拓扑结构指标对承载能力提升的贡献不同.

Influence of network topology on network capacity

Three typical complex network models and corresponding traffic routing models were established to carry out numerical computation and simulation of topological indicators and network capacity, and empirical analysis of how network capacity is influenced by network topology was conducted. The results show that numerical calculation results and experimental results of the capacity of three different networks were roughly consistent. With existence of the core node, scale-free network had the shortest average travel path, and the proportion of the largest betweenness was much higher than that in other networks, leading to minimum capacity of the scale-free network; the proportion of the largest betweenness of nodes in random network was lower than that in other networks, leading to maximum capacity of the random network. The increase of average degree resulted in significant increase of network capacity, but the contribution of different topological indicators was not the same. Understanding the quantitative relation between network topology and network capacity is beneficial to conducting effective prevention and intervention concerning dynamic processes in the network.