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Simulating the evolution of the Human Immunodeficiency Virus (HIV) epidemicrequires a detailed description of the population network, especially for smallpopulations in which individuals can be represented in detail and accuracy. Inthis paper, we introduce the concept of a Complex Agent Network(CAN) to modelthe HIV epidemics by combining agent-based modelling and complex networks, inwhich agents represent individuals that have sexual interactions. Theapplicability of CANs is demonstrated by constructing and executing a detailedHIV epidemic model for men who have sex with men (MSM) in Amsterdam, includinga distinction between steady and casual relationships. We focus on MSM contactsbecause they play an important role in HIV epidemics and have been tracked inAmsterdam for a long time. Our experiments show good correspondence between thehistorical data of the Amsterdam cohort and the simulation results.

Complex Agent Networks explaining the HIV epidemic among homosexual men in Amsterdam