Figure S2

Best-fit values of the random hiring parameter p for the Computer Science faculty hiring network. (a)–(e) Steady-state values of Gini coefficient G and hierarchy steepness ρ, for the five hiring models and two initial conditions for different choices of β (for simplicity, we only show \(\beta \in \{0.0, 0.5, 1.0, 1.5, 2.0\}\)). Each line is a parametric plot in which we vary the randomness parameter over \(0\leq p \leq 1\), and hence all models and choices of β converge to the same point in inequality-space as \(p\rightarrow 1\). Red dashed lines show the empirical values of G and ρ for the Computer Science faculty hiring network. Results are averaged over 50 simulations, and error bars indicate standard deviations. (f) Euclidean distance between an averaged structural inequality (G,ρ) obtained from simulation and their pair of empirical values for the Computer Science hiring network. Filled markers represent β values that can reproduce G and ρ with distance \(D \leq 0.1\); open markers indicate \(D > 0.1\) or a model is not able to reproduce the empirical inequality