Phase transition in opinion diffusion in social networks

Lin Li, Anna Scaglione, Ananthram Swami, Qing Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Gossiping models have been increasingly applied to study social network phenomena, in particular, to model the dynamics of social behavior or belief through local interactions. In this context, this paper investigates how the opinions of social agents diffuse in a network under a so-called hard-interaction model, in which the agents interact more strongly with neighbors that share their beliefs and have no influence on the neighbors whose opinions differ by more than a threshold. We analyze the convergence properties of the opinion dynamics and provide analytical insights to characterize the phase transition from a society of radicalized opinions to one of convergent behavior.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages3073-3076
Number of pages4
DOIs
StatePublished - Oct 23 2012
Externally publishedYes
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: Mar 25 2012Mar 30 2012

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
CountryJapan
CityKyoto
Period3/25/123/30/12

Keywords

  • herding
  • opinion diffusion
  • opinion dynamics
  • phase transition
  • social networks

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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    Li, L., Scaglione, A., Swami, A., & Zhao, Q. (2012). Phase transition in opinion diffusion in social networks. In 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings (pp. 3073-3076). [6288564] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2012.6288564