Comparison of the accuracy rate (%) obtained using network structural measurements and the proposed method based on network automata.

The structural measurements’ feature vector was composed by: mean degree (〈k〉), average hierarchical degree of level 1 (), average hierarchical degree of level 2 (), average clustering coefficient (〈C〉), average path length (l) and degree assortativity (Γ). Remarkably, our method outperforms the latter by an average margin of 9.2%.