complex networks

The effective structure of complex networks drives dynamics, criticality and control

We show that in general the control of complex networks cannot be predicted from structure alone. Structure-only methods such as structural controllability and minimum dominating set theory both undershoot and overshoot the number and which sets of variables actually control these models, highlighting the importance of dynamics in determining control. We show that canalization measured as logical redundancy in automata transition functions models plays a very important role in the extent to which structure predicts dynamics