New dynamic dependency framework may lead to better neural social and tech systems modelssciencedaily

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.

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