Information diffusion and other time-based processes in social media networks are examples of inherently complex phenomena characterized by nonlinear properties such as “tipping points” or “virtuous” (or “vicious”) circles. These properties make them very difficult to capture with our traditional approaches for theory development and we often run the risk of making superficial analyses that are able to explain the observed patterns. This workshop introduces to agent-based modelling (ABM), which is a method that has proven to be a useful alternative for unpacking complex and dynamic phenomena. During the workshop we will explore agent-based models and you learn how to build a simple model and run simulations with NetLogo.