• DocumentCode
    21936
  • Title

    An Efficient Curing Policy for Epidemics on Graphs

  • Author

    Drakopoulos, Kimon ; Ozdaglar, Asuman ; Tsitsiklis, John N.

  • Author_Institution
    Laboratory of Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA
  • Volume
    1
  • Issue
    2
  • fYear
    2014
  • fDate
    July-Dec. 1 2014
  • Firstpage
    67
  • Lastpage
    75
  • Abstract
    We provide a dynamic policy for the rapid containment of a contagion process modeled as an SIS epidemic on a bounded degree undirected graph with n nodes. We show that if the budget r of curing resources available at each time is \\Omega (W) , where W is the CutWidth of the graph, and also of order \\Omega (\\log ; n) , then the expected time until the extinction of the epidemic is of order O(n/r) , which is within a constant factor from optimal, as well as sublinear in the number of nodes. Furthermore, if the CutWidth increases only sublinearly with n , a sublinear expected time to extinction is possible with a sublinearly increasing budget r .
  • Keywords
    Contagious diseases; Curing rates; Diseases; Epidemics; Graph theory; Networks; Process control; Resource management; Time measurement; Networks; contagion; control; epidemics; influence minimization;
  • fLanguage
    English
  • Journal_Title
    Network Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2327-4697
  • Type

    jour

  • DOI
    10.1109/TNSE.2015.2393291
  • Filename
    7010945