Following the new road that we opened up in my ERC project, we quickly went beyond the linear social networks that appear in the situation of an informational cascade and investigated full-fledged social networks. So in the paper on 'Dynamic Epistemic Logics of Diffusion and Prediction in Social Networks' (published in 2019), we provide a full study of the diffusion of opinions in social networks. In contrast to other work in network theory, our work treats the agents not as mere nodes in a graph that can exhibit a certain behavior but we look at both their epistemic state and their social environment in tandem (e.g. allowing agents in a network to anticipate the behavior-changes of their neighbors in the network). This line of work is continuing on the one hand in the analysis of how social networks are being created and on the other hand we focus on the information-theoretic features that can trigger different social phenomena such as echo-chambers and polarization.