Before revision:  We discover that interventions that focus on protecting the most active individuals and most popular venues can significantly reduce the peak infection rate and the total number of infected people while retaining high levels of social activity overall. This trend is observed universally in multi-agent simulations using three mobility data sets of different scales, resolutions, and modalities (check-ins at seven different cities , WiFi connection events at a university, and GPS traces of electric bikes), and suggests that strategies that exploit the network effect in human mobility provide a better balance between disease control and normal social activities.
After revision:  We discover that interventions that focus on protecting the most active individuals and most popular venues can significantly reduce the peak infection rate and the total number of infected people while retaining high levels of social activity . These trends are seen consistently in simulations with real human mobility data of different scales, resolutions, and modalities (check-ins at seven different cities , WiFi connection events at a university, and GPS traces of electric bikes), and suggests that strategies that exploit the network effect in human mobility provide a better balance between disease control and normal social activities.