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Research on meme transmission based on individual heterogeneity
1Research Center of Complex Network System and Innovation, Tianjin University of Finance and Economics, China.
Mathematical Biosciences and Engineering : MBE
|September 14, 2021
Summary
Individual interest significantly impacts meme spread speed and range. Low system trust increases risk perception, hindering meme propagation, while interventions are less effective later on.
Area of Science:
- Information Science
- Computational Social Science
- Epidemiology
Background:
- Meme transmission is a key information dissemination method.
- Classic infectious disease models lack specificity for meme characteristics.
- Individual factors influence how information spreads online.
Purpose of the Study:
- To develop a novel meme transmission model incorporating individual heterogeneity.
- To analyze the impact of individual interest, risk perception, and trust on meme propagation.
- To evaluate the effectiveness of interventions in meme transmission dynamics.
Main Methods:
- Modified the classic SEIR (Susceptible-Exposed-Infectious-Recovered) model to include three meme-specific transfer paths.
- Developed the Individual Heterogeneity SEIR (IHSEIR) model.
- Utilized mean-field theory to determine model equilibrium and the basic reproduction number.
- Employed Multi-Agent simulation to analyze the effects of individual heterogeneity on meme spread.
Main Results:
- Individual interest was identified as a critical factor influencing both the speed and range of meme propagation.
- Low overall system trust correlated with heightened individual risk perception, negatively impacting meme dissemination.
- Interventions demonstrated significantly reduced effectiveness in later stages of meme transmission compared to initial phases.
Conclusions:
- Individual heterogeneity significantly shapes meme transmission dynamics.
- Trust and risk perception are crucial factors affecting meme spread, alongside individual interest.
- The timing and nature of interventions are critical for managing meme propagation effectively.
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