空间距离在在某个空间嵌入的一个网络的出席模式上有显著效果。首先,我们调查空间限制怎么导致在真实网络强壮、线性、积极的信息信息关联。我们然后构造一个二维的空格,为网络的节点定义行动半径 R,并且建议取决于空间距离的模型的一个类。模型的信息关联与真实网络的一致。空间距离在产生由度的配对的混合中起主要作用,当混合的 disassortative 的产生依靠两个时优先的附件和空间限制的度。
Spatial distance has a remarkable effect on the attended mode of a network embedded in a certain space. First, we investigate how spatial restriction leads to information-information correlation that is strong, linear and positive in real networks. We then construct a two-dimensional space, define the action radius R for nodes of networks, and propose a class of models that depend on spatial distance. Information correlation of the models is consistent with that of real networks. The spatial distance plays a leading role in generating assortative mixing by degree, while the generation of disassortative mixing relies on both the degree of preferential attachment and spatial restriction.