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Related Experiment Video

Updated: Apr 28, 2026

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading

Published on: May 22, 2021

Asymmetrically interacting spreading dynamics on complex layered networks.

Wei Wang¹, Ming Tang², Hui Yang¹

¹Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 610054, China.

Scientific Reports

|May 30, 2014

Summary

This summary is machine-generated.

Disease spread via contact networks and information spread via communication networks are linked. Information spread can increase the epidemic threshold, making contact networks more resilient to outbreaks, especially with structural correlation.

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Area of Science:

Epidemiology
Network Science
Complex Systems

Background:

Disease and information spread occur on distinct but related networks.
Understanding the interplay between these dynamics is crucial for public health.

Purpose of the Study:

Investigate the asymmetrical interplay between disease spread on contact networks and information spread on communication networks.
Analyze the impact on epidemic threshold and final infection ratio.

Main Methods:

Modeling coupled spreading dynamics on two separate layers.
Focusing on epidemic threshold and final infection ratio as key metrics.
Developing a physical theory to explain observed phenomena.

Main Results:

An epidemic outbreak can trigger an information outbreak.
Information spread can elevate the epidemic threshold.
Structural correlation between networks enhances the epidemic threshold, increasing resilience.

Conclusions:

Disease and information dynamics exhibit a complex, asymmetrical interplay.
Network structure significantly influences epidemic resilience.
The findings provide a theoretical framework for understanding coupled spreading processes.