Subgraph statistics in subcritical graph classes

Let H be a fixed graph and G a subcritical graph class. In this paper we show that the number of occurrences of H (as a subgraph) in a uniformly at random graph of size n in G follows a normal limiting distribution with linear expectation and variance. The main ingredient in our proof is the analytic framework developed by Drmota, Gittenberger and Morgenbesser to deal with infinite systems of functional equations [11]. As a case study, we get explicit expressions for the number of triangles and cycles of length four for the family of series-parallel graphs.