Jan 19, 2018 | 14:00—15:30
In this talk he will present a fresh overview of past projects on human behavior with the emphasis on agent-based modeling. Among the topics he will focus on the project on inferring human mobility using communication records. Their results show that human mobility is well predicted by a simple model based on the frequency of mobile phone calls between two locations and their geographical distance. They argue that the strength of the model comes from directly incorporating the social dimension of mobility. Furthermore, as only aggregated call data is required, the model helps to avoid potential privacy problems.