Application of Information Theory in Rumor Spreading Modeling Considering Polarization in Complex Networks
Physics and Society
2024-08-20 v1 Probability
Abstract
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 Barab\'asi-Albert (BA) scale-free network. The simulation considers individual memory, ideological proximity between individuals, and distortion influenced by polarization.
Keywords
Cite
@article{arxiv.2408.08891,
title = {Application of Information Theory in Rumor Spreading Modeling Considering Polarization in Complex Networks},
author = {Patrick Oliveira de Paula and Alejandra Rada and Catalina Rúa},
journal= {arXiv preprint arXiv:2408.08891},
year = {2024}
}
Comments
21 pages, 15 figures