3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.SI2016
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…
cs.DS2015★ 3 cited
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…