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
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