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Analyzing the Effect of Intergroup Conflict Escalation on Opinion Dynamics

Code for my paper Alizadeh et al (2014). In this paper, we present and demonstrate an agent-based model that captures these findings to better understand the effect of perceived intergroup conflict escalation on the average number of emergent extremists and opinion clusters in the population. The proposed model builds on the 2-dimensional Bounded Confidence Model proposed by Huet et al (2008). Results show that the average number of extremists is negatively correlated with intolerance threshold and positively correlated with changes in opinion movement when two agents reject each other's belief. In other words, the number of extremists grows with increasing conflict between groups. We also found that intergroup conflict leads to lower opinion diversity in the population when compared to less conflictual situations.

Huet2008.py contains the original BC model code (Huet et al 2008).

BCR.py contains the code for our proposed BCR model.

No_Extremists.py computes the number of extremists.

No_Clusters.py computes the number of opinion clusters.

main.py main procedures

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