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• W2397540718 abstract "In this paper, we study diffusion social learning over weakly-connected graphs. We show that the asymmetric flow of information hinders the learning abilities of certain agents regardless of their local observations. Under some circumstances that we clarify in this work, a scenario of total influence (or mind-control) arises where a set of influential agents ends up shaping the beliefs of non-influential agents. We derive useful closed-form expressions that characterize this influence, and which can be used to motivate design problems to control it. We provide simulation examples to illustrate the results." @default.
• W2397540718 created "2016-06-24" @default.
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• W2397540718 date "2016-03-01" @default.
• W2397540718 modified "2023-09-27" @default.
• W2397540718 title "Diffusion social learning over weakly-connected graphs" @default.
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• W2397540718 doi "https://doi.org/10.1109/icassp.2016.7472452" @default.
• W2397540718 hasPublicationYear "2016" @default.
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