New dynamic dependency framework may lead to better neural social and tech systems models
Researchers have presented a dynamic dependency framework that can capture interdependent and competitive interactions between dynamic systems which are used to study synchronization and spreading processes in multilayer networks with interacting layers.
Source: ScienceDaily