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Modeling Spread of Disease from Social Interactions

Modeling Spread of Disease from Social Interactions

This video was recorded at 6th International AAAI Conference on Weblogs and Social Media (ICWSM), Dublin 2012. Research in computational epidemiology to date has concentrated on coarse-grained statistical analysis of populations, often synthetic ones. By contrast, this paper focuses on fine-grained modeling of the spread of infectious diseases throughout a large real-world social network. Specifically, we study the roles that social ties and interactions between specific individuals play in the progress of a contagion. We focus on public Twitter data, where we find that for every health-related message there are more than 1,000 unrelated ones. This class imbalance makes classification particularly challenging. Nonetheless, we present a framework that accurately identifies sick individuals... Show More


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