Abstract | ||
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Simulating the spreading of the human immunodeficiency virus (HIV) epidemic requires a detailed description of the population network, especially for small populations in which individuals can be represented in detail and accuracy. In this paper, we introduce the concept of a complex agent network (CAN) to model the HIV epidemic by combining multi-agent systems and complex networks, in which agents represent individuals who can have sexual interactions. The applicability of CANs is demonstrated by constructing and executing a detailed HIV epidemic model for men who have sex with men (MSM) in Amsterdam, including a distinction between steady and casual relationships. We focus on MSM contacts because they play an important role in HIV epidemics and have been tracked in Amsterdam for a long time. Our experiments show good correspondence between the historical data of the Amsterdam cohort study and the simulation results. |
Year | DOI | Venue |
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2008 | 10.1016/j.matcom.2009.12.008 | Mathematics and Computers in Simulation |
Keywords | DocType | Volume |
men who have sex with menmsm,scale-free,population network,hiv epidemic,detailed hiv epidemic model,amsterdam cohort study,complex agent network,msm contact,multi-agent systems (mas),multi-agent systemsmas,hiv epidemics,homosexual man,detailed description,complex networkcn,good correspondence,men who have sex with men (msm),casual relationship,complex networks (cns),complex network,epidemic model,scale free,cohort study,multi agent system | Journal | 80 |
Issue | ISSN | Citations |
5 | Mathematics and Computers in Simulation | 8 |
PageRank | References | Authors |
0.61 | 5 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shan Mei | 1 | 18 | 2.22 |
P. M. A. Sloot | 2 | 154 | 22.09 |
Rick Quax | 3 | 19 | 4.49 |
Yifan Zhu | 4 | 229 | 18.36 |
Wang Weiping | 5 | 335 | 63.84 |