Tracking the Diffusion of Contact-Induced Disease from Social Interactions and Limited Observations of Symptoms

In this paper, we present an effective method to track diffusion of contact-induced disease at individual level, by utilizing both social interaction data captured by social sensors and limited symptom data reported by probe volunteers in a social community. Our method is effective, as demonstrated by experiments on a large synthesized dataset covering 1,300 people.