The Hidden Math Behind Global Control.
Network science, a branch of mathematics that studies complex systems, has revealed that many real-world networks, such as the internet and metabolic networks, follow a scale-free architecture rather than a random one. This means that they are not governed by averages and that hubs, or highly connected nodes, emerge naturally. The growth of these networks is driven by preferential attachment, meaning that new nodes tend to connect to already highly connected nodes. Network science offers a framework for understanding the architecture of complex systems that emerge from the interaction of many components.