Influence of activity-state transitions on emotion propagation
Year: 2024
Type: conference-paper
Abstract: Activity as an individual trait has a profound impact on social group behavior and emotion propagation. Based on this, this paper proposes a new two-layer network model of emotion propagation, named \({N}_AA{N}_A - S{P}_ER\) model. In this model, the upper layer is an activity-state transition subnet including higher-order interactions characterized by simplicial complexes, while the lower layer is an emotion propagation subnet with binary interactions. Combined microscopic Markov Chain approach (MMCA) with SIS and SIR epidemic spreading model, this paper establishes some emotion dynamics evolution equations for the \({N}_AA{N}_A - S{P}_ER\) model newly proposed. Abundant Monte Carlo (MC) simulations and MMCA numerical simulations validate the feasibility and effectiveness of the theoretical analysis results. In addition, appropriately reducing activation probability, high-order activation probability, or infection decay factor, can hinder emotion propagation, as well as properly increasing degradation probability or high-order degradation probability.
Institution: Wuhan University of Science and Technology
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410739815