Abstract
Determining the stability of synchronization in large and complex networks is very challenging due to the high dimensionality of the problem. In the previous chapter, I have given an introduction to the master stability function (MSF) which allows for decoupling of the topology and the local dynamics. In this way the originally very high-dimensional problem is reduced to (i) solving the problem for one node with a rescaled coupling strength and (ii) determining the eigenvalues of the network’s coupling matrix.
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Lehnert, J. (2016). Control of Synchronization Transitions by Balancing Excitatory and Inhibitory Coupling. In: Controlling Synchronization Patterns in Complex Networks. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-25115-8_4
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