以国内4个城市公交网络为研究对象,分别在L空间和P空间对这些网络的静态统计特性和关联性质进行计算和分析。结果表明,L空间公交网络节点具有正的度度相关性,节点度与其集聚系数具有负的相关性;P空间公交网络节点k。(是)随度k的变化显示出随机的特征,节点C(是)随度的增长呈幂律下降。研究还发现,L空间公交网络节点权分布为双斜率幂律分布,明显不同于其他的加权复杂网络;节点权随度的增长呈幂律上升。
This paper takes four domestic transit networks for studying, calculating and analyzing the static statistical properties and correlation properties of these networks in space L and P respectively. Research shows that in space L nodes have the property of positive degree-degree correlation, the degree of nodes and their average clustering coefficient have the property of negative correlation; in space P, k~ (k)of nodes show stochastic features with the change of degree k, C(k) of nodes show power-law drop with the growth of degree k. Research also shows that the distribution of node weight in space L obeys the two- slope power distribution, and this is significantly different from other weighted complex networks; node weight in shows power-law growth with the growth of degree.