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

Abstract : 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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Contributor : Caroline Bauer Connect in order to contact the contributor
Submitted on : Saturday, April 13, 2013 - 11:37:14 AM
Last modification on : Friday, April 29, 2022 - 10:12:58 AM



Christophe Chamley, Anna Scaglione, Lin Li. Models for the Diffusion of Beliefs in Social Networks: An Overview. IEEE Signal Processing Magazine, 2013, 30 (3), pp.16-29. ⟨10.1109/MSP.2012.2234508⟩. ⟨hal-00812894⟩



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