Comparison between the <i>(i)</i> degree distribution (number <i>f</i> of nodes with a given degree <i>k_i</i>), <i>(ii)</i> assortativity (correlation between a node's degree <i>k_i</i> and the mean degree of that node's neighbors , summarized by parameter <i>r</i>), and <i>(iii)</i> hierarchy (the relationship between the clustering coefficient <i>C_i</i> and the degree <i>k_i</i> over all nodes in the network, summarized by parameter <i>β</i>) of the <i>(A)</i> Barabási-Albert and <i>(B)</i> affinity models and the same diagnostics in the brain anatomical data (grey).

<p>Black lines indicate best linear fit to the data (dashed) and model (solid) networks. In panel <i>(B)</i>, the parameter values used for the affinity model are the following: , , and .