Fig. 7

In-/out-degree distributions, by year and sector. The in-degree of a node is the number of incoming movement edges regardless of the number of employees moving, and similarly the out-degree is the number of outgoing movement edges. Average power-law maximum likelihood estimation (MLE) fits (dashed line) and exponents α shown, starting at degree 10. For the public sector, the corresponding MLE fits to a lognormal distribution (dotted line) are shown. The insets present the correlation between in- and out-degree, with the identity line for reference