A new framework to predict spatiotemporal signal propagation in complex networks

Past studies have found that a variety of complex networks, from biological systems to social media networks, can exhibit universal topological characteristics. These universal characteristics, however, do not always translate into similar system dynamics. The dynamic behavior of a system cannot be predicted from topology alone, but rather depends on the interaction of a network’s topology with the dynamic mechanisms that determine the relationship between its nodes.