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The interplay between individual behaviors and epidemic dynamics in complex networks is a topic of recent interest. In particular, individuals can obtain different types of information about the disease and

The interplay between individual behaviors and epidemic dynamics in complex networks is a topic of recent interest. In particular, individuals can obtain different types of information about the disease and respond by altering their behaviors, and this can affect the spreading dynamics, possibly in a significant way. We propose a model where individuals' behavioral response is based on a generic type of local information, i.e., the number of neighbors that has been infected with the disease.

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Date Created
  • 2014-12-01
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  • Text
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    Identifier
    • Digital object identifier: 10.1063/1.4896333
    • Identifier Type
      International standard serial number
      Identifier Value
      1054-1500
    • Identifier Type
      International standard serial number
      Identifier Value
      1089-7682
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    • Copyright 2014 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. along with the following message: The following article appeared in CHAOS 24, 4 (2014) and may be found at http://dx.doi.org/10.1063/1.4896333, opens in a new window

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    This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.

    Zhang, Hai-Feng, Xie, Jia-Rong, Tang, Ming, & Lai, Ying-Cheng (2014). Suppression of epidemic spreading in complex networks by local information based behavioral responses. CHAOS, 24(4). http://dx.doi.org/10.1063/1.4896333

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