Activation Regimes in Opinion Dynamics: Comparing Asynchronous Updating Schemes

Meysam Alizadeh () and Claudio Cioffi-Revilla ()
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Meysam Alizadeh: http://malizad.github.io/

Journal of Artificial Societies and Social Simulation, 2015, vol. 18, issue 3, 8

Abstract: Empirical evidence shows significant heterogeneity in the timing of individuals' activities. Moreover, computational analysis of agent-based models has shown the importance of the activation regime. In this paper, we apply four different asynchronous updating schemes, including random, uniform, and two state-driven Poisson updating schemes on an agent-based opinion dynamics model. We compare the effect of these activation regimes by measuring the appropriate opinion clustering statistics and the number of emergent extremists. Results exhibit both qualitative and quantitative difference among activation regimes, including some counterintuitive cases. In particular, we find that exposing radical/moderate agents to more encounters decreases/increases the average number of extremists compared to other types of activation regimes. Results also show that no specific updating scheme can always outperform the others in reaching consensus.

Keywords: Opinion Dynamics; Activation Regime; Extremism; Opinion Clusters (search for similar items in EconPapers)
Date: 2015-06-30
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Citations: View citations in EconPapers (5)

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