Models for the Diffusion of Beliefs in Social Networks: An Overview

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HALSHS : archive ouverte en Sciences de l’Homme et de la Société

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info:eu-repo/semantics/altIdentifier/doi/10.1109/MSP.2012.2234508

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Centre pour la communication scientifique directe

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Processing, Signal

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Christophe Chamley et al., « Models for the Diffusion of Beliefs in Social Networks: An Overview », HALSHS : archive ouverte en Sciences de l’Homme et de la Société, ID : 10.1109/MSP.2012.2234508

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Abstract En

Signal processing is very much tied to extracting information and making inferences from physical phenomena. The traditional modalities to which our field is given credit for advancing are speech, images, video, communication signals, remote sensing, and a number of biomedical sensors that digital and array processing methods enable. More recently, brain?machine interfaces (BMIs) have also become a research focus of signal processing researchers. We continue to fill the gap between human signals and computers, leading to today?s highly computerized social landscape.

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