4 papers
Edge-based Katz centralities for spatio-temporal multiplex networks
Kai Bergermann, Francesco Gravili, Valeria Simoncini +1
Katz centrality is a well-established measure to identify and rank the most important nodes in complex networks by means of a linear system solve. Recent works have developed notio…
Super Agents and Confounders: Influence of surrounding agents on vehicle trajectory prediction
Daniel Jost, Luca Paparusso, Martin Stoll +3
In highly interactive driving scenes, trajectory prediction is conditioned on information from surrounding traffic participants such as cars and pedestrians. Our main contribution…
Gradient flow-based modularity maximization for community detection in multiplex networks
Kai Bergermann, Martin Stoll
We propose two methods for the unsupervised detection of communities in undirected multiplex networks. These networks consist of multiple layers that record different relationships…
A nonlinear spectral core-periphery detection method for multiplex networks
Kai Bergermann, Martin Stoll, Francesco Tudisco
Core-periphery detection aims to separate the nodes of a complex network into two subsets: a core that is densely connected to the entire network and a periphery that is densely co…