Phase Transition in Opinion Diffusion in Social Networks

Abstract

Gossiping models have been increasingly applied to study social network phenomena, in particular, to model the dynamics of social behavior and beliefs through local interactions. This paper investigates how the opinions of social agents diffuse in a network under a so-called hard-interaction model in which agents interact more strongly with neighbors who 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.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2012
Accession Number
ADA571287

Entities

People

  • Ananthram Swami
  • Anna Scaglione
  • Lin Li
  • Qing Zhao

Organizations

  • University of California

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Bayesian Networks
  • Computer Simulations
  • Convergence
  • Diffusion
  • Dynamics
  • Equations
  • Indexes
  • Nonlinear Dynamics
  • Phase
  • Phase Transformations
  • Probability
  • Probability Distributions
  • Simulations
  • Social Networks
  • Societies
  • Transitions

Readers

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