One advantage of graph-based models is that the derived bias scores are characterized by the intrinsic structure of the word association graph.
if we roughly assume the word association graph is an externalization of concept networks in human brains, as properties of the graph, the bias scores can be seen as a benchmark to help examining validities of other models.