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Can rewiring strategy control the epidemic spreading?

Chao Dong1, Qiuju Yin1, Wenyang Liu1

  • 1School of Management & Economics, Beijing Institute of Technology, Beijing 100081, China.

Physica A
|April 15, 2020
PubMed
Summary

Epidemic control in social networks is complex. A new model shows rewiring strategies may fail to prevent disease spread, especially with low link-breaking thresholds, highlighting the importance of weak links.

Keywords:
Adaptive networkEpidemic spreadingRelationRewiring strategy

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Area of Science:

  • Network Science
  • Epidemiology
  • Computational Social Science

Background:

  • Social contact networks significantly influence individual behaviors and disease transmission.
  • Traditional epidemic models often overlook the nuanced diversity of relationship strengths (intimacy) within these networks.

Purpose of the Study:

  • To propose a novel epidemic propagation model that incorporates a link-breaking threshold, accounting for varied relation intimacy.
  • To investigate the efficacy of rewiring strategies in controlling epidemic spreading within weighted adaptive networks.

Main Methods:

  • Development of an epidemic propagation model incorporating a link-breaking threshold parameter.
  • Simulation of epidemic spreading dynamics on weighted adaptive networks under different rewiring strategies.
  • Analysis of the influence of link-breaking thresholds and link weights (strong and weak) on epidemic prevalence.

Main Results:

  • Rewiring strategies do not universally guarantee control over epidemic prevalence.
  • Low link-breaking thresholds significantly diminish the effectiveness of rewiring strategies in epidemic control.
  • Both strong and weak links within the network play a crucial role in the dynamics of epidemic spreading.

Conclusions:

  • The proposed model provides a more realistic representation of epidemic dynamics in social networks by including relation intimacy and link-breaking thresholds.
  • Network rewiring strategies must consider the link-breaking threshold to be effective, as it can negate their benefits.
  • Understanding the dual role of strong and weak links is essential for designing robust epidemic prevention and control measures.