The goal of percolation theory is to study the geometric properties of random networks. In this talk I will describe two variants of percolation:
My main target is to show that these two variants exhibit remarkable similarities and remarkable differences.
Ordinary percolation is used to model the connectivity in a random network ("What is connected to what?"). Invasion percolation is used to model the spread of a virus through a random network ("What gets infected?").
I will present main results, open questions and key challenges. No prior knowledge of percolation is necessary for the talk.