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Spreading dynamics of forget-remember mechanism
Shengfeng Deng1, Wei Li1,2
1College of Physical Science and Technology, Huazhong Normal University, 430079 Wuhan, China.
This study explores the forget-remember mechanism (FRM) for spreading dynamics. FRM offers flexibility in modeling disease spread, with findings applicable to understanding temporal disease patterns.
Area of Science:
- Physics
- Epidemiology
- Complex Systems
Background:
- The forget-remember mechanism (FRM) is a model for message spreading.
- Specifying forget-remember functions can significantly alter spreading dynamics.
Purpose of the Study:
- To derive and analyze the master equation for FRM dynamics.
- To investigate steady states and epidemic thresholds in FRM.
- To explore the temporal nature of diseases like flu using FRM.
Main Methods:
- Derivation of the master equation for FRM.
- Application of mean-field techniques to determine steady states.
- Monte Carlo simulations for validation.
- Analytical derivation of forget and remember time distributions for linear and exponential functions.
Main Results:
- Steady states were reached under specific conditions, validated by simulations.
- Explicit distributions for forget and remember times were derived for linear and exponential FRM functions.
- An epidemic threshold was identified for time-dependent FRM.
- The critical transmissibility for FRM was bounded by those of the SIS and SIR models.
Conclusions:
- The forget-remember mechanism provides a flexible framework for modeling spreading phenomena.
- FRM dynamics can be analytically described and simulated.
- The study offers insights into the temporal dynamics of diseases and establishes bounds for epidemic thresholds.
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