Fig. 4

Impact of structure-based noise on the representation of minority nodes in rankings on synthetic networks. Similar to Fig. 3 we visualize the fraction of the minority as a function of the noise strength represented via \(\alpha\). Larger values of \(\alpha\) correspond to higher noise-values (noise decreases from left to right in every subplot). The insets show the impact of noise on the number of edges in the network. As the noise is not aligned with the relative group connectivity regulated by the homophily parameter h, we can see that the general amount of edges dropped for each noise type is relatively independent of h. Although centrality-based noise leads to omitting comparatively many edges, the impact of centrality noise on the representation of the minority in the degree ranking is not as strong as Jaccard noise