Figure 6:

Control via modularity and canalization. Once the network is decomposed into modules $F_1,\dots ,F_m$, we can override the effect of module $F_i$ by the using another module ($F_k$ in this case) whose variables are inputs of $f_x$ that are located in more dominant layers than the layers containing the variables of $F_i$.