In this blog, we - the research group *Modeling and Analysis of Complex Systems* (MACSy) - present some of our research results.
The group is headed by Prof. Dr. Henning Meyerhenke and works on scalable algorithms for large and complex networked systems. We employ the algorithm engineering cycle of modeling, design, analysis, implementation, and experimental evaluation in order to obtain practical solution methods with sound theoretical foundations for real-world problems.
Our current focus areas are:
"Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis" (authors: Angriman, Predari, van der Grinten, Meyerhenke) is the first paper which appears on our Research Blog. Checkout our subpage with all details about key outcomes, experimental data and downloads. The paper was originally accepted by ESA 2020.
We are pleased to present this new blog website. In the future, we (the MACSy research group) present some of our research here to provide additional information on data, codes, and experimental results.