Effect of edge pruning on structural controllability and observability of complex networks.

ABSTRACT: Controllability and observability of complex systems are vital concepts in many fields of science. The network structure of the system plays a crucial role in determining its controllability and observability. Because most naturally occurring complex systems show dynamic changes in their network connectivity, it is important to understand how perturbations in the connectivity affect the controllability of the system. To this end, we studied the control structure of different types of artificial, social and biological neuronal networks (BNN) as their connections were progressively pruned using four different pruning strategies. We show that the BNNs are more similar to scale-free networks than to small-world networks, when comparing the robustness of their control structure to structural pe

SUBMITTER: Mengiste SA 

PROVIDER: S-EPMC4682190 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature