Mark Newman University of Michigan, SFI External Faculty
There are some things we cannot measure – or we cannot measure them until it is too late. If we want to vaccinate against next year's flu, for instance, we cannot know for certain if a particular vaccination strategy will work until we get an actual flu outbreak. We cannot know for certain where the weak points are in a power grid until the outage happens that reveals them to us. In cases like these, the science of networks can help us build mathematical and computer models that can predict outcomes before they happen.