Which metrics for vertex-cut partitioning?

In this paper we focus on vertex-cut graph partitioning and we investigate how it is possible to evaluate the quality of a partition before running the computation. To this purpose we scrutinize a set of metrics proposed in literature. We carry experiments with the widely-used framework for graph processing Apache GraphX and we perform an accurate statistical analysis. Our preliminary experimental results show that communication metrics like vertex-cut and communication cost are effective predictors on most of the cases.