A Novel Small-World Model: Using Social Mirror Identities for Epidemic Simulations

Chung Yuan Huang, Chuen Tsai Sun, ji Lung Hsieh, yi Ming Arthur Chen, Holin Lin

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

The authors propose a small-world network model that combines cellular automata with the social mirror identities of daily-contact networks for purposes of performing epidemiological simulations. The social mirror identity concept was established to integrate human long-distance movement and daily visits to fixed locations. After showing that the model is capable of displaying such small-world effects as low degree of separation and relatively high degree of clustering on a societal level, the authors offer proof of its ability to display R 0 properties—considered central to all epidemiological studies. To test their model, they simulated the 2003 severe acute respiratory syndrome (SARS) outbreak.

Original languageEnglish
Pages (from-to)671-699
Number of pages29
JournalSimulation
Volume81
Issue number10
DOIs
Publication statusPublished - 2005 Oct

Keywords

  • Social mirror identity
  • cellular automata
  • multiagent system
  • network-based epidemic simulations
  • public health policy
  • small-world network model

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Graphics and Computer-Aided Design

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