International Conference on Social Informatics

SocInfo 2014: Social Informatics pp 348-358

Distributions of Opinion and Extremist Radicalization: Insights from Agent-Based Modeling

  • Meysam Alizadeh
  • Claudio Cioffi-Revilla
Conference paper

DOI: 10.1007/978-3-319-13734-6_26

Volume 8851 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Alizadeh M., Cioffi-Revilla C. (2014) Distributions of Opinion and Extremist Radicalization: Insights from Agent-Based Modeling. In: Aiello L.M., McFarland D. (eds) Social Informatics. SocInfo 2014. Lecture Notes in Computer Science, vol 8851. Springer, Cham

Abstract

We apply an agent-based opinion dynamics model to investigate the distribution of opinions and the size of opinion clusters. We use parameter sweeps to examine the sensitivity of opinion distributions and cluster sizes relative to changes in individuals’ tolerance and uncertainty. Our results demonstrate that opinion distributions and cluster sizes are structurally unstable, not stationary, and have fat tails in most configurations of the model, rather than stable Gaussian distributions. Hence, extremist radical individuals occur far more frequently than “normally” expected. Opinion clusters, in addition to being fat-tailed, reveal a dynamic transition from lognormal to exponential distributions as parameters change.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Meysam Alizadeh
    • 1
  • Claudio Cioffi-Revilla
    • 1
    • 2
  1. 1.Department of Computational Social ScienceGeorge Mason UniversityVirginiaUSA
  2. 2.Center for Social Complexity, Krasnow Institute for Advanced StudyGeorge Mason UniversityVirginiaUSA