Fig. 3
From: The desire to avoid cognitive dissonance drives community formation in a social network model
Attitude embeddings and social network after communication process. The top row shows the embedding of the attitudes (node values in the belief systems) according to the TSNE (left) and UMAP methods with the social network displayed on the right for the initial state of the simulation. Here the social network is fully connected and is consisting of agents with identical belief systems. At this state, the clones form a dense cluster in the attitude space, with only minor differences due to the stochastic nature of the TSNE/UMAP embeddings. In the bottom row we show similar results after a certain amount of communication, where the social network forms two densely connected communities (marked by the different colours). These communities can also be seen in both embeddings, roughly corresponding to a left/right split.
