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Competing opinion diffusion on social networks.

Haibo Hu1

  • 1Department of Management Science and Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.

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Summary
This summary is machine-generated.

This study introduces a model for competing opinion diffusion on social networks, considering individual persuasiveness and media influence. Results show social networks and mass media amplify opinion spread, with predictable outcomes for opinion dominance.

Keywords:
competitioncomplex networksopinion diffusionsocial networks

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Area of Science:

  • Social Network Analysis
  • Computational Social Science
  • Opinion Dynamics

Background:

  • Opinion competition is prevalent but lacks comprehensive modeling.
  • Existing models often overlook the interplay of social networks, individual attributes, and mass media.

Purpose of the Study:

  • To develop a novel model for competing opinion diffusion on social networks.
  • To investigate the influence of social networks, individual fitness, and mass media on opinion spread.
  • To analytically and numerically characterize opinion diffusion dynamics.

Main Methods:

  • Proposed a mathematical model for competing opinion diffusion.
  • Incorporated degree-dependent fitness (persuasiveness) into the model.
  • Utilized analytical methods and numerical simulations to study diffusion patterns.

Main Results:

  • Social networks and mass media act as significant amplifiers of opinion diffusion.
  • Developed analytical solutions for ultimate opinion prevalence and steady-state proportions.
  • Numerical simulations validated the analytical findings.

Conclusions:

  • Individual attributes, local social networks, and global media collectively influence opinion diffusion.
  • The study provides a quantitative understanding of competing diffusion behaviors.
  • Offers insights into the complex dynamics of opinion formation and spread in societies.