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• W2415626237 abstract "Network models are designed to capture properties of empirical networks and thereby provide insight into the processes that underlie the formation of complex systems. As new information concerning network structure becomes available, it becomes possible to design models that more fully capture the properties of empirical networks. A recent advance in our understanding of network structure is the control profile, which summarizes the structural controllability of a network in terms of source nodes, external dilations, and internal dilations. Here, we consider the topological properties-and their formation mechanisms-that constrain the control profile. We consider five representative empirical categories of internal-dilation dominated networks, and show that the number of source and sink nodes, the form of the in- and out-degree distributions, and local complexity (e.g., cycles) shape the control profile. We evaluate network models that are sufficient to produce realistic control profiles, and conclude that holistic network models should similarly consider these properties." @default.
• W2415626237 created "2016-06-24" @default.
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• W2415626237 date "2015-12-22" @default.
• W2415626237 modified "2023-10-11" @default.
• W2415626237 title "Topological constraints on network control profiles" @default.
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• W2415626237 doi "https://doi.org/10.1038/srep18693" @default.
• W2415626237 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4686937" @default.
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