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

September 16, 2025

Teaching in the Winter Term 2025/26

In the upcoming winter term 2025/26, we are excited to offer a range of courses and seminars in the field of Network Science. We will be teaching the following network-science related seminars:

The two seminars will be held together, with different requirements for Bachelor and Master students. Unfortunately, all seminar slots are already filled and we cannot accommodate late registrations this term.

Additionally, we will offer the following practical lab:

With a broader topic beyond network science, we will also offer the following lecture:

We are looking forward to an exciting term ahead and encourage students to explore these offerings! For more information on each course, please visit the respective links or contact the teaching assistants listed for each course.

Happy studying!

May 20, 2025

Paper accepted at EUSIPCO 2025

Our paper "Faster Inference of Cell Complexes from Flows via Matrix Factorization" got accepted at EUSIPCO 2025. We propose a novel approach to inferring 2-cells from flows using matrix factorization.
May 20, 2025

HOOC - Higher Order Opportunities and Challenges

We are happy to announce the HOOC workshop on higher-order networks. Attendance is free! Go to https://conf.netsci.rwth-aachen.de for more information and registration.
May 16, 2025

Paper accepted at KDD 2025

Our paper "HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection" has been accepted at KDD 2025. We propose a novel event and change-point detection algorithm for time-evolving simplicial complexes.

Contact

Map to the 1st floor of E2

Prof. Michael Schaub, PhD

Faculty of Computer Science
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 ;).