Abstract
We develop a general framework to analyze the controllability of multiplex networks using multiple-relation networks and multiple-layer networks with interlayer couplings as two classes of prototypical systems. In the former, networks associated with different physical variables share the same set of nodes
and in the latter, diffusion processes take place. We find that, for a multiplerelation network, a layer exists that dominantly determines the controllability of the whole network and, for a multiple-layer network, a small fraction of the interconnections can enhance the controllability remarkably. Our theory is
generally applicable to other types of multiplex networks as well, leading to significant insights into the control of complex network systems with diverse structures and interacting patterns.
and in the latter, diffusion processes take place. We find that, for a multiplerelation network, a layer exists that dominantly determines the controllability of the whole network and, for a multiple-layer network, a small fraction of the interconnections can enhance the controllability remarkably. Our theory is
generally applicable to other types of multiplex networks as well, leading to significant insights into the control of complex network systems with diverse structures and interacting patterns.
| Original language | English |
|---|---|
| Article number | 103036 |
| Journal | New Journal of Physics |
| Volume | 16 |
| DOIs | |
| Publication status | Published - 24 Oct 2014 |