Higher-order networks

The basic interaction unit of many dynamical systems involves more than two nodes. In such situations where networks are not an appropriate modelling framework, it has recently become increasingly popular to turn to higher-order models. In this collection of papers, we derive and analyse models for consensus dynamics on hypergraphs, where nodes interact in groups rather than in pairs.

Systematic edge uncertainty

Most network analyses implicitly assume that the considered data is error-free and reliable. Especially if the network consists of multiple groups, this assumption conflicts with the range of systematic reporting biases, measurement errors and other inaccuracies that are well documented in our community. We model how such systematic uncertainty on edges of an attributed network can impact network analysis.

CoRisk Index

While the coronavirus spreads around the world, governments are attempting to reduce contagion rates at the expense of negative economic effects. To achieve higher effectiveness with cyclical and fiscal policy measures, it is key to identify the industries that are suffering the most from the unfolding economic crisis. We introduce the CoRisk-Index. It is the first economic indicator of industry-specific risk assessments related to Covid-19.