  In this paper, we analyze the local clustering coefficient of preferential
attachment models. A general approach to preferential attachment was introduced
in earlier, where a wide class of models (PA-class) was defined in terms of
constraints that are sufficient for the study of the degree distribution and
the clustering coefficient. It was previously shown that the degree
distribution in all models of the PA-class follows a power law. Also, the
global clustering coefficient was analyzed and a lower bound for the average
local clustering coefficient was obtained. We expand the results by analyzing
the local clustering coefficient for the PA-class of models. Namely, we analyze
the behavior of C(d) which is the average local clustering for the vertices of
degree d.
