Influential figures on social media platforms significantly impact the level of affective polarization in online discussions on contentious topics like climate change and gun control.
Context-dependent opinion adoption in voter models impacts fixation probabilities and consensus times.
The author proposes the UAPE model to consider dynamic user attitudes and public opinion environment in information dissemination, achieving higher accuracy than existing research.
The authors focus on modeling and optimizing activity control for asymptomatic carriers in layered temporal social networks to minimize disease spread while considering cost constraints.
The authors propose an algorithm, AIS, for link recommendation to enhance social influence diffusion, providing a high-probability approximate solution with theoretical guarantees.