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Robust Design of Networks Under Risks

In: Coping with Uncertainty

Author

Listed:
  • Y. Ermoliev

    (International Institute for Applied Systems Analysis)

  • A. Gaivoronski

    (Norwegian University of Science and Technology)

  • M. Makowski

    (International Institute for Applied Systems Analysis)

Abstract

Study of network risks allows to develop insights into the methods of building robust networks, which are also critical elements of infrastructures that are of a paramount importance for the modern society. In this paper we show how the modern quantitative modeling methodologies can be employed for analysis of network risks and for design of robust networks under uncertainty. The approach is illustrated by an important problem arising in the process of building the information infrastructure for the advanced mobile data services. We show how the portfolio theory developed in the modern finance can be used for design of robust provision network. Next, the modeling frameworks of Bayesian nets and Markov fields are used for the study of several problems fundamental for the process of service adoption such as the sensitivity of networks, the direction of improvements, and the propagation of participants’ attitudes on social networks.

Suggested Citation

  • Y. Ermoliev & A. Gaivoronski & M. Makowski, 2010. "Robust Design of Networks Under Risks," Lecture Notes in Economics and Mathematical Systems, in: Kurt Marti & Yuri Ermoliev & Marek Makowski (ed.), Coping with Uncertainty, chapter 0, pages 101-137, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-03735-1_6
    DOI: 10.1007/978-3-642-03735-1_6
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