3 citations · 4 across the 3 of their papers we have counts for
3 papers
Generating realistic scaled complex networks
Christian L. Staudt, Michael Hamann, Alexander Gutfraind +2
Research on generative models is a central project in the emerging field of network science, and it studies how statistical patterns found in real networks could be generated by fo…
Fast generation of complex networks with underlying hyperbolic geometry
Moritz von Looz, Christian L. Staudt, Henning Meyerhenke +1
Complex networks have become increasingly popular for modeling various real-world phenomena. Realistic generative network models are important in this context as they avoid privacy…
Algorithms for Mapping Parallel Processes onto Grid and Torus Architectures
Roland Glantz, Henning Meyerhenke, Alexander Noe
Static mapping is the assignment of parallel processes to the processing elements (PEs) of a parallel system, where the assignment does not change during the application's lifetime…