In this paper, we relatively extend the definition of global clustering coefficient to another clustering, which we call it relative clustering coefficient. The idea of this definition is to ignore the edges in the network that the probability of having an edge is 0. Here, we also consider a model as an example that using relative clustering coefficient is better than global clustering coefficient for comparing networks and also checking the properties of the networks.

翻译：在本文中,我们相对地将全球集群系数的定义扩大到另一个集群,我们称之为相对集群系数。这个定义的理念是忽略网络的边缘,即边缘概率为0。在这里,我们还将一个模型视为一个范例,即使用相对集群系数比全球集群系数要好于比较网络和检查网络特性的全球集群系数。