Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
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Injecting drug use(IDU) has been the dominant route for HIV infection in China, especially in Yunnan province and the HIV epidemic is a complex phenomenon in the world today. The most profound factor in the proliferation of this disease is the aggregate effects of individual behavior and perception of risk. Agent-based modeling(ABM) is the dominant paradigm in social complex network simulation which allows one to simulate the complex systems emerge from the bottom-up are composed of a multitude of heterogeneous objects called agents. Using this framework, we construct a simplified IDU interior network and social network that represents Yunnan province use ABM and loosely coupled with Geographic Information System(GIS). Yunnan has the special geographical position in the southwest of china which neighbor the notability "Golden Triangle" and has the Multiracial characterize. Such that ideas of behavior change, stigma reduction, and safe sex practices may spread very slowly because of Low-income, Low level of education and cultural practice. The results of model simulation are close to the realistic infected data, and also show the future epidemic data of HIV prevalence by explore the in-depth relationships between the networks and HIV related behaviors. ABM facilitate the development of network-based public health interventions.