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

研究成果: 雜誌貢獻文章

33 引文 (Scopus)

摘要

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.
原文英語
頁(從 - 到)671-699
頁數29
期刊Simulation
81
發行號10
DOIs
出版狀態已發佈 - 一月 1 2005
對外發佈Yes

指紋

Small World
Mirror
Mirrors
Severe Acute Respiratory Syndrome
Small-world Network
Cellular Automata
Small-world networks
Network Model
Simulation
Integrate
Cellular automata
Clustering
Contact
Model
Movement
Concepts
Human

ASJC Scopus subject areas

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

引用此文

A Novel Small-World Model : Using Social Mirror Identities for Epidemic Simulations. / Huang, Chung Yuan; Sun, Chuen Tsai; Hsieh, ji Lung; Chen, yi Ming Arthur; Lin, Holin.

於: Simulation, 卷 81, 編號 10, 01.01.2005, p. 671-699.

研究成果: 雜誌貢獻文章

Huang, Chung Yuan ; Sun, Chuen Tsai ; Hsieh, ji Lung ; Chen, yi Ming Arthur ; Lin, Holin. / A Novel Small-World Model : Using Social Mirror Identities for Epidemic Simulations. 於: Simulation. 2005 ; 卷 81, 編號 10. 頁 671-699.
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