Application of Information Theory in Rumor Spreading Modeling Considering Polarization in Complex Networks

It is proposed a model that makes use of the Entropy concept and the Jensen-Shannon information divergence function to simulate computationally the dissemination of opinions on a Barabási-Albert (BA) scale-free network. The simulation considers individual memory, ideological proximity between individuals, and distortion influenced by polarization.