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Ego-centered network intervention via weak-tie exclusion.

Peng Chen1, Mingze Qi1, Zhi Zeng1

  • 1College of Science, National University of Defense Technology, Changsha, Hunan 410073, People's Republic of China.

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Summary
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New social distancing strategies focus on individual actions using local network information. This approach effectively reduces disease spread while minimizing social and economic costs.

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Area of Science:

  • Epidemiology
  • Network Science
  • Sociology

Background:

  • Social distancing is crucial for infectious disease control but incurs significant societal costs.
  • Current strategies often require global network data, which is impractical for individual decision-making.

Purpose of the Study:

  • To develop sustainable, ego-centered contact-reduction strategies for epidemic suppression.
  • To investigate interventions based on local network information accessible to individuals.

Main Methods:

  • Proposed a two-stage hybrid intervention based on local observations and weak-tie theory.
  • Individuals selectively remove contacts based on neighbor degree and common neighbors.
  • Modeled distancing as edge removal in social networks.

Main Results:

  • The ego-centered approach effectively fragments community structures and isolates peripheral network components.
  • Achieved significant epidemic suppression comparable to or better than strategies targeting highly connected nodes.
  • Demonstrated reduced social costs compared to traditional methods.

Conclusions:

  • Individual-level interventions using local network information can effectively suppress epidemics.
  • This approach offers a practical alternative to global network-based strategies for social distancing.
  • Informed practical social distancing policies by leveraging local tie information and individual decisions.