A Novel Dynamic Epidemic Model for Successive Opinion Diffusion in Social Networks
Social and Information Networks
2025-12-01 v3
Abstract
This paper proposes a dynamic epidemic model for successive opinion diffusion in social networks, extending the SHIMR model. It incorporates dynamic decision-making influenced by social distances and captures accumulative opinion diffusion caused by interrelated rumors. The model reflects the impact of rumor spread on social network structures. Simulations validate its effectiveness in explaining phenomena like the echo chamber effect and provide insights into opinion diffusion dynamics, with implications for understanding social polarization and network evolution.
Cite
@article{arxiv.2504.01718,
title = {A Novel Dynamic Epidemic Model for Successive Opinion Diffusion in Social Networks},
author = {Bin Han and Fabienne Renckens and C. Clark Cao and Hans D. Schotten},
journal= {arXiv preprint arXiv:2504.01718},
year = {2025}
}
Comments
To appear in IEEE GLOBECOM 2025, minor corrections in this version