Effects of the network structural properties on its controllability
arXiv:0708.1097 · doi:10.1063/1.2743098
Abstract
In a recent paper, it has been suggested that the controllability of a diffusively coupled complex network, subject to localized feedback loops at some of its vertices, can be assessed by means of a Master Stability Function approach, where the network controllability is defined in terms of the spectral properties of an appropriate Laplacian matrix. Following that approach, a comparison study is reported here among different network topologies in terms of their controllability. The effects of heterogeneity in the degree distribution, as well as of degree correlation and community structure, are discussed.
Also available online at: http://link.aip.org/link/?CHA/17/033101
References in corpus (20)
- Emergence of scaling in random networks
- Community structure in social and biological networks
- Finding and evaluating community structure in networks
- Epidemic spreading in scale-free networks
- Assortative mixing in networks
- Mixing patterns in networks
- Universal Behavior of Load Distribution in Scale-free Networks
- Synchronization reveals topological scales in complex networks
- Heterogeneity in oscillator networks: Are smaller worlds easier to synchronize?
- Pinning-controllability of complex networks
- The onset of synchronization in large networks of coupled oscillators
- Pinning Control of Spatiotemporal Chaos
- Synchronization is optimal in non-diagonalizable networks
- Construction and properties of assortative random networks
- Synchronization in scale-free network with asymmetric coupling
- Modular synchronization in complex networks
- Entrainment of randomly coupled oscillator networks by a pacemaker
- Synchronization in weighed scale-free networks with degree-degree correlation
- Strong Effects of Network Architecture in the Entrainment of Coupled Oscillator Systems
- Scale dependence of branching in arterial and bronchial trees
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- Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition
- A Framework of Hierarchical Attacks to Network Controllability
- Finite-time stochastic control for complex dynamical systems: The estimate for control time and energy consumption
- Synchronization on Effective Networks
- On the pinning strategy of complex networks
- A spin glass approach to the directed feedback vertex set problem
- Pinning control of networks: dimensionality reduction through simultaneous block-diagonalization of matrices
- Trade-Off Between Multiplicity and Specificity in the Inter-layer Connectivity of non-identical Multilayer Networks