Journal
SCIENCE
Volume 343, Issue 6177, Pages 1373-1376Publisher
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.1242063
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Funding
- Singapore University of Technology and Design-Massachusetts Institute of Technology International Design Center [IDG31300103]
- Natural Sciences and Engineering Research Council [125517855]
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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.
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