Fig. 3
From: Modeling algorithmic bias: simplicial complexes and evolving network topologies
Average number of clusters in the steady-state of the Adaptive Algorithmic Bias model. The average number of clusters in the final state of the Adaptive Algorithmic Bias model as a function of \(\gamma\) and \(p_r\) for a \(\epsilon =0.2\) and b \(\epsilon =0.3\) startingr from the Erdős–Rényi graph and c, d starting from the scale-free Barabási–Albert graph. These values are averaged over 30 runs