Unraveling the effects of multiscale network entanglement on empirical systems

The dynamics of information within complex networks can be captured by a set of operators where the effect of detachment of a node defines the node-networks entanglement, which can be used as a multiscale centrality measure. Here, the authors show that the nodes with high entanglement centrality, which are critical for information dynamics, are also the ones responsible for keeping the network integrated.

Abstract licence: CC BY-NC-ND

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