Trust, opinion diffusion and radicalization in social networks

Lin Li, Anna Scaglione, Ananthram Swami, Qing Zhao

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

10 Scopus citations

Abstract

Gossiping models have increasingly been applied to study social network phenomena. In this context, this paper is specifically concerned with modeling how opinions of social agents can be radicalized if the agents interact more strongly with neighbors that share their beliefs. In our model, each agent's belief is represented by a vector of probabilities that a given state is true. The agents average their opinions with that of their neighbors over time, giving more weight to opinions that are closer to their current beliefs. The increasing trust that may exist among likeminded agents is modeled through a weight that is a monotonically decreasing function of the distance in opinion. We consider a continuous (soft) and a discontinuous (hard) model for the weight and analyze the convergence properties.

Original languageEnglish (US)
Title of host publicationConference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Pages691-695
Number of pages5
DOIs
StatePublished - Dec 1 2011
Externally publishedYes
Event45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 - Pacific Grove, CA, United States
Duration: Nov 6 2011Nov 9 2011

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Country/TerritoryUnited States
CityPacific Grove, CA
Period11/6/1111/9/11

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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