Network Analysis Techniques for a Hard-to-reach Population

Daniel Heard, Duke University - Department of Statistical Science
This work examines a community of men who have sex with men (MSM) in southern India with a high HIV rate. The data is from an ego-centric study and includes attributes such as religion, age, marital status, caste, sex position, religion, and whether an individual was a sex worker. The data also included self-reported attributes of interviewed individuals.We use a Bayesian mixed effects model (Hoff 2011) to investigate characteristics of individuals within the network and how these characteristics related to sexual behavior. To investigate the formation of ties and determine if any latent structure existed within the network, we used a mixed-membership stochastic block model (Airoldi 2008). This information gives insight into possible medical interventions to mitigate the HIV epidemic in the community.
November, 12 2013 | 12:30 - 2:00 |

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