標題: A novel small-world model: Using social mirror identities for epidemic simulations
作者: Huang, CY
Sun, CT
Hsieh, JL
Chen, YMA
Lin, HL
資訊工程學系
Department of Computer Science
關鍵字: social mirror identity;small-world network model;multiagent system;cellular automata;public health policy;network-based epidemic simulations
公開日期: 1-Oct-2005
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-o properties-considered central to all epidemiological studies. To test their model, they simulated the 2003 severe acute respiratory syndrome (SARS) outbreak.
URI: http://dx.doi.org/10.1177/0037549705061519
http://hdl.handle.net/11536/13175
ISSN: 0037-5497
DOI: 10.1177/0037549705061519
期刊: SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL
Volume: 81
Issue: 10
起始頁: 671
結束頁: 699
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