• DocumentCode
    2635792
  • Title

    HPCgen A Fast Generator of Contact Networks of Large Urban Cities for Epidemiological Studies

  • Author

    Zhang, Tianyou ; Soh, Soon Hong ; Fu, Xiuju ; Lee, Kee Khoon ; Wong, Limsoon ; Ma, Stefan ; Xiao, Gaoxi ; Kwoh, Chee Keong

  • Author_Institution
    Inst. of High Performance Comput., Singapore, Singapore
  • fYear
    2009
  • fDate
    7-9 Sept. 2009
  • Firstpage
    198
  • Lastpage
    203
  • Abstract
    A contact network is the well representation of heterogeneous contact behaviors within the population. Incorporating contact networks as well as community structures is important in realistic modeling and simulation for the spread of infectious diseases. We developed the ¿HPCgen¿, a fast and generic generator of contact networks of large urban cities, with the capacity of automating network re-generations for intervention studies. The produced contact networks are applicable in both analytical modeling and agent-based simulations. In this paper, we presented the design and realization of HPCgen followed by the empirical results of building Singapore contact networks with six types of community structures in the common urban settings. The results showed our 8-node parallelized HPCgen could generated a contact network of 3.4 million populations within 62.17 seconds, which is 90% reduction of runtime.
  • Keywords
    demography; diseases; social sciences computing; software agents; HPCgen; Singapore; agent-based simulations; contact networks; epidemiology; heterogeneous contact behaviors; infectious diseases; network regeneration automation; urban cities; Analytical models; Cities and towns; Computational intelligence; Computational modeling; Diseases; High performance computing; Mathematical model; Network topology; Physics; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation, 2009. CSSim '09. International Conference on
  • Conference_Location
    Brno
  • Print_ISBN
    978-1-4244-5200-2
  • Electronic_ISBN
    978-0-7695-3795-5
  • Type

    conf

  • DOI
    10.1109/CSSim.2009.46
  • Filename
    5350090