Disease models can be used to understand the mass adoption and subsequent flight from online social networks, researchers at Princeton’s Department of Mechanical and Aerospace Engineering say in a study released Jan. 17. The study has not been peer-reviewed. Updating traditional models on disease spread to assume that “recovery” requires contact with a nondiseased member — i.e., a nonuser of Facebook (“recovered” member of the population) — researchers predicted that Facebook would see a rapid decline, causing the site to lose 80% of its peak user base between 2015 and 2017.
