Meta-validation of bipartite network projections

Abstract

The configuration model, in its various formulations, is a widely used null model for statistical validation of bipartite network projections. Here, the authors show that different formulations might bring to very different results, and propose a meta-validation approach that allows to identify model-specific significance thresholds while remaining null-model independent.