  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.
