Studying human behavior at the intersection of mobile sensing and complex networks (Keynote abstract)

Abstract

Summary form only given. With the advent of powerful and inexpensive sensing technology the ability to study human behaviour and activity at large scale and for long periods is becoming a firm reality. Wearables and mobile devices further allow the continuous physical colocation with the users. This reality generates new challenges but also opens the door to potentially innovative ways of understanding our daily lives. In this talk we will discuss our experience in large mobile sensor deployments and in using complex network science for the analysis of mobile sensing data. We will discuss the issues raised by mobile sensing big data in terms of data crowdsourcing, continuous sensing challenges, data analysis, privacy, user feedback. Examples will be drawn from our healthcare, transport, urban planning and organization analytics studies.