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- W2078008084 endingPage "1376" @default.
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- W2078008084 abstract "Real Network Control Understanding how complex networks are controlled has implications for a variety of real-world networks, from traffic safety to transcriptional control. Ruths and Ruths (p. 1373 ; see the Perspective by Onnela ) have developed a theoretical framework for analyzing individual controls within networks based on numbers of sources and sinks for information flow. By this method, the number of controls required by a network can be predicted and direct comparisons for the basis for control across networks of differing size, structure, and function can be made. Although three broad classes of real networks were observed, current, established random models of networks were insufficient to model their control structures." @default.
- W2078008084 created "2016-06-24" @default.
- W2078008084 creator A5041513167 @default.
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- W2078008084 date "2014-03-21" @default.
- W2078008084 modified "2023-09-30" @default.
- W2078008084 title "Control Profiles of Complex Networks" @default.
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- W2078008084 doi "https://doi.org/10.1126/science.1242063" @default.
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