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.

中文翻译：

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相对聚类系数

在本文中，我们将全局聚类系数的定义相对扩展到另一种聚类，我们称之为相对聚类系数。这个定义的思想是忽略网络中存在边的概率为0的边。 这里我们也考虑一个模型作为例子，使用相对聚类系数比全局聚类系数更好的比较网络和检查网络的属性。