Newman M E J
Department of Physics, University of Michigan, Ann Arbor, MI 48109-1120, USA.
Phys Rev Lett. 2002 Nov 11;89(20):208701. doi: 10.1103/PhysRevLett.89.208701. Epub 2002 Oct 28.
A network is said to show assortative mixing if the nodes in the network that have many connections tend to be connected to other nodes with many connections. Here we measure mixing patterns in a variety of networks and find that social networks are mostly assortatively mixed, but that technological and biological networks tend to be disassortative. We propose a model of an assortatively mixed network, which we study both analytically and numerically. Within this model we find that networks percolate more easily if they are assortative and that they are also more robust to vertex removal.
如果网络中具有许多连接的节点倾向于与其他具有许多连接的节点相连,那么就称该网络呈现出同类混合。在这里,我们测量了各种网络中的混合模式,发现社交网络大多是同类混合的,但技术网络和生物网络往往是异类混合的。我们提出了一个同类混合网络的模型,并对其进行了分析和数值研究。在这个模型中,我们发现,如果网络是同类混合的,那么它们更容易发生渗流,并且对顶点移除也更具鲁棒性。