Computational Network Science

The Chair for Computational Network Science is part of the Faculty of Computer Science and the Department of Biology at RWTH Aachen University.
The research interests of our group are broad, but have one common denominator: the use of graphs and networks to analyse a variety of systems and data. A central methodological issue underlying our research is how one can study and integrate the multiple levels of organization which are commonly found in complex systems and high-dimensional data. To this end, we combine bottom-up dynamical models, and top-down data-driven approaches, and use a blend of tools from control theory, dynamical systems, stochastic processes, topology, machine learning and statistics. See the Research page for more details.

Latest News

March 18, 2026

Michael Schaub at Discrete Laplacians 2026 as keynote speaker

Michael Schaub will join the Discrete Laplacians 2026 workshop as a keynote speaker, registration is open until 17.05.26!
February 2, 2026

Atuhurra Jesse is visiting our group

Atuhurra Jesse, a PhD student at NAIST in Japan, will visit us for the next six months!
January 27, 2026

New paper published in Journal of Physics: Complexity

Michael Schaub coauthored the paper "Hypergraphs and simplicial complexes in focus: A roadmap for future research in higher-order interactions" which has been published in Journal of Physics: Complexity.
January 27, 2026

New preprint avialable

Michael Schaub is coauthor on the paper "Higher order trade-offs in hypergraph community detection" which is now available on arXiv.

Contact

Map to the 1st floor of E2

Prof. Michael Schaub, PhD

Chair of Computational Network Science
Office 6123a
Ahornstraße 55
52074 Aachen

Phone: +49 241 80-21490

EMail: schaub@netsci.rwth-aachen.de

We are located on the 1st floor of E2, Computer Science Center.

  1. Enter the Informatikzentrum from “Mies-van-der-Rohe Strasse”
  2. Turn right and walk towards the “Gemeinschaftslabor for Elektronenmikroskopie” (GfE).
  3. Go one floor up the staircase.
  4. Turn into the corridor on the right and you have reached your destination ;).