Fig. 6

Effect of structure-based noise on real data sets. In analogy to Fig. 4 we show the impact of structure-based noise. We see that in the heterophilic regime the effects of noise are similar to those in synthetic networks. In the homophilic regime different effects can be observed. For instance, for dblp removing edges within the strong community structure with inverse Jaccard noise leads to a disadvantage of the minority. Overall we can see that structure-based noise can also significantly affect real world networks. This effect can sometimes be even more prominent or different than in synthetic BA networks