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Updated: Feb 15, 2026
05:50
Measuring Cell-Edge Protrusion Dynamics during Spreading using Live-Cell Microscopy
Published on: November 1, 2021
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Dynamics of rumor spreading in complex networks.
Yamir Moreno1, Maziar Nekovee, Amalio F Pacheco
1Departmento de Física Teórica, Universidad de Zaragoza, Zaragoza 50009, Spain.
Summary
This study models rumor spreading dynamics on complex networks using a stochastic approach. Findings help optimize information dissemination in peer-to-peer networks and social phenomena.
Area of Science:
- Network Science
- Computational Physics
- Information Theory
Background:
- Rumor spreading is a complex process influenced by network structure.
- Understanding information diffusion is crucial for various applications.
Purpose of the Study:
- To model and analyze rumor spreading dynamics on heterogeneous networks.
- To compare different rumor spreading algorithms and their efficiency.
Main Methods:
- Derivation of mean-field equations for rumor dynamics.
- Numerical solutions using a stochastic approach.
- Analytical and Monte Carlo calculations for comparison.
Main Results:
- Validated numerical methods against analytical and Monte Carlo results for homogeneous networks.
- Detailed analysis of spreading processes on random scale-free networks.
- Distinguished between different rumor spreading algorithm variants.
Conclusions:
- The developed models provide insights into information diffusion on complex networks.
- Findings are applicable to replicated database maintenance and peer-to-peer networks.
- The study contributes to understanding social spreading phenomena.
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