title: Control profiles of complex networks.
abstract: Studying the control properties of complex networks provides insight into how designers and engineers can influence these systems to achieve a desired behavior. Topology of a network has been shown to strongly correlate with certain control properties; here we uncover the fundamental structures that explain the basis of this correlation. We develop the control profile, a statistic that quantifies the different proportions of control-inducing structures present in a network. We find that standard random network models do not reproduce the kinds of control profiles that are observed in real-world networks. The profiles of real networks form three well-defined clusters that provide insight into the high-level organization and function of complex systems.
authors.affiliation: Engineering Systems and Design, Singapore University of Technology and Design, Singapore.
authors.forename: Justin
authors.initials: J
authors.lastname: Ruths
authors.forename: Derek
authors.initials: D
authors.lastname: Ruths
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology; D003198:Computer Simulation; D006801:Humans; D016014:Linear Models; D008962:Models, Theoretical; D009415:Nerve Net; D012944:Social Support; D013597:Systems Analysis; D013598:Systems Theory; D014186:Transportation