… Secondly, we cover different types of complex networks and their topologies, including
temporal networks, multilayer networks, and neural networks. Next, we cover network time series …

… in the context of signal propagation, linking the topology of a network to the observed … of
perturbative signals across it, thus capturing the network’s role in propagating local information. …

… The complex dynamics emergent in diverse systems are influenced not only by the network
… to the spatiotemporal propagation of signals in complex networks and analytically capturing …

… Signal processing, Network analysis, Network theory, Functions and mappings Signal
propagation … a new signal propagation framework based on our new network dimension reduction …

… natural and technological networks. Furthermore, they conjectured that dynamical systems
coupled in this way would display enhanced signal propagation speed, synchronizability and …

NATURE PHYSICS θ. However, in reality, the prefactor provided in ref. 1 is itself inaccurate,
yielding no advantage over our analysis. In fact, we argue that it is better to avoid predicting …

… straightforward model for propagation analysis in the complex power-line communication
(PLC) networks. The model is based on simulations of input impedances of network ports. We …

… In this paper, we propose a novel method for decomposing network topology, focusing on …
for signal propagation analysis, which can be applied to estimate the propagation time for two …

… array of complex networks, our analysis yields few networks with profiles that contain
nontrivial contributions of all three components. This suggests that many complex systems may …

… Techniques for the analysis of such complex systems … network based on preserving cycles
of mass flow within layers. Additionally, by expressing how the local response propagates …