Jan 18, 2019 | 16:00—17:00
The aim of this talk is to revise the SWIR model which has recently been used as a general framework for various cascading dynamics, such as k-core percolation, breakdown on interdependent networks and cooperative epidemic spreading. While this model works well for static networks, the adaptive nature of many real-world processes requires to consider the network evolution as well. It will be discussed how to incorporate an adaptation into the original SWIR to uncover new phenomena that do not appear over static networks.