All nonlinear networks have emerging and flexible structures. Randomness allows networks to experience instability, giving them the ability to function far from equilibrium, at the edge of chaos. Upon receiving feedback until they reach a critical point, networks spontaneously give rise to a new order of greater complexity. This process constantly occurs in the real world. For instance, if we heat a container of water, the water molecules at the bottom of the container start moving upward randomly. The more heat they receive, the more chaotic their upward movement becomes. Upon reaching a critical point, a new order suddenly emerges, in which each water molecule joins one of many three-dimensional hexagons. Molecules at the bottom travel vertically to the top and then move down the sides of the hexagons. They move in such an orderly fashion that it seems as if they could all be aware of each other.