Modelling and simulation of an infection disease in social networks

  • Authors:

  • Rafał Kasprzyk;Andrzej Najgebauer;Dariusz Pierzchała

  • Affiliations:

  • Military University of Technology, Cybernetics Faculty, Warsaw, Poland;Military University of Technology, Cybernetics Faculty, Warsaw, Poland;Military University of Technology, Cybernetics Faculty, Warsaw, Poland

  • Venue:
  • ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
  • Year:
  • 2011

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Abstract

The paper focuses its attention on a software project that takes advantage of pioneering sociological theories, graph & network theory, and the state-of-the-art in software technologies. Its very purpose, of particularly high importance nowadays, is to counter infectious diseases. The paper refers to research of Complex Networks displaying the, so called, Scale Free and Small World features, which make them accurate models of Social Networks.