Fig. 4
From: The desire to avoid cognitive dissonance drives community formation in a social network model
Attitude homogeneity (AH) and extremism (E) values. Boxplot of the AH and E over 100 runs as a function of the dissonance penalty d. The AH calculated for the entire network is shown in blue, whereas the AH evaluated inside communities (found by the Leiden algorithm) is shown in red. In parallel, the extremism is also plotted in green using the right vertical scale. The median values are connected by continuous curves. The three panels correspond to different TCA functions as indicated by the panel titles. The total homogeneity values begin to diverge when approaching \(d=3\), while the community homogeneity remains high. As extremism starts to drop, around \(d=6\) the majority of agents form a moderate core, which decreases the differences between attitudes, and the total and community homogeneities become similar again.
