Models for the diffusion of beliefs in social networks

An overview

Christophe Chamley, Anna Scaglione, Lin Li

Research output: Contribution to journalReview article

26 Citations (Scopus)

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.

Original languageEnglish (US)
Article number6494679
Pages (from-to)16-29
Number of pages14
JournalIEEE Signal Processing Magazine
Volume30
Issue number3
DOIs
StatePublished - 2013
Externally publishedYes

Fingerprint

Social Networks
Signal Processing
Signal processing
Video Communication
Array processing
Digital signal processing
Remote Sensing
Modality
Remote sensing
Brain
Continue
Sensor
Communication
Sensors
Model
Beliefs
Speech
Human

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Models for the diffusion of beliefs in social networks : An overview. / Chamley, Christophe; Scaglione, Anna; Li, Lin.

In: IEEE Signal Processing Magazine, Vol. 30, No. 3, 6494679, 2013, p. 16-29.

Research output: Contribution to journalReview article

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