Extreme events in human activities: Impact on information spreading in social networks

Esteban Moro

Universidad Carlos III de Madrid, Matematica, Leganes, Spain

Recent research has found that humans present high variability in the way they schedule their activities. This is found for example in the time between two emails sent by the same person, the time between two transactions made by a single trader, etc. In fact, the variability is so large that waiting times between two consecutive actions seem to be described by fat-tailed distributions. In this talk we address the importance of large times between two consecutive actions and how it translates into a new different information spreading dynamics at the population level.