In addition to the above demonstration that GDC captures statistically significant biological signal, we compare its performance against the performance of the three other centrality measures (DC, BWC, and SC). We do so by determining which measure is the most discriminative in the sense that it uncovers the largest number of BC genes amongst the top K% of the most central genes (K is computed as above) and hence results in the highest enrichments. As shown in Figure 6 C, GDC is at least as good as other centrality measures for all categories of BC genes, except for cancer genes, for which SC has a slightly higher enrichment, but GDC still outperforms DC and BC. GDC always outperforms DC, confirming our hypothesis that GDC, as a more constraining measure of network topology, could capture the biological signal better. SC also outperforms DC for aging genes, but interestingly not for HIV and PI genes. Hence, although GDC and SC both capture deeper network topology than DC and are conceptually similar in the sense that they both count a number of subgraphs that a node participates in, unlike GDC, SC is not always more discriminative than DC.