One key application task for traditional graph generation approaches is the creation of null models. In general, traditional generative models of graphs give us the ability to interrogate what sorts of graph characteristics can be easily explained by simple generative processes. In a statistical sense, they provide us with null models that we can use as reference points for our understanding of real-world graphs.