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Getting the "Edge" on the Next Flu Pandemic: We Should'a "Node" Better

By Angela B. Shiflet, George W. Shiflet
Wofford College, Spartanburg, South Carolina

This page provides download links for a set of curricular materials designed to teach computational modeling to undergraduate or graduate students in science and other STEM disciplines. The module teaches the construction of a graphical network-based model of epidemic spread using Mathematica. A parallel implementation of the model using MatLab and the Parallel Computing Toolbox is also constructed. The module consists of the documents described below. The documents can be downloaded individually, or as a zip archive containing all of the documents:

Resources:

Social_Networks.doc : MS Word document describing:

  • Social networks and epidemics
  • Network models
  • Algorithms and model implementation
  • Simulation results
  • Assessment rubrics
  • Project ideas
  • Examples & solutions
  • References

SocNetSampleText.nb : Mathematica notebook for the implementation of a small example model of a social network.

SocNetSampleText_Description.pdf : PDF of the Mathematica notebook for the implementation of a small example model of a social network.

SocNetRandom1000.nb : Mathematica notebook for the implementation of a large random model of a social network.

SocNetRandom1000_Description.pdf : PDF of the Mathematica notebook for the implementation of a large random model of a social network.

Social_Networks_Parallel.zip : Zip archive containing MatLab scripts implementing a parallel version of the social network model. A ReadMe.txt file documents the scripts, and an example output is included for model verification.

Social_Networks_Module.zip : Zip archive containing all of the materials in the Social Networks Module.