160 citations · 170 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
Structure-Preserving Sparsification Methods for Social Networks
Michael Hamann, Gerd Lindner, Henning Meyerhenke +2
Sparsification reduces the size of networks while preserving structural and statistical properties of interest. Various sparsifying algorithms have been proposed in different conte…
Structure-Preserving Sparsification of Social Networks
Gerd Lindner, Christian L. Staudt, Michael Hamann +2
Sparsification reduces the size of networks while preserving structural and statistical properties of interest. Various sparsifying algorithms have been proposed in different conte…
Approximating Betweenness Centrality in Large Evolving Networks
Elisabetta Bergamini, Henning Meyerhenke, Christian L. Staudt
Betweenness centrality ranks the importance of nodes by their participation in all shortest paths of the network. Therefore computing exact betweenness values is impractical in lar…
NetworKit: A Tool Suite for Large-scale Complex Network Analysis
Christian L. Staudt, Aleksejs Sazonovs, Henning Meyerhenke
We introduce NetworKit, an open-source software package for analyzing the structure of large complex networks. Appropriate algorithmic solutions are required to handle increasingly…
Static and Dynamic Aspects of Scientific Collaboration Networks
Christian Staudt, Andrea Schumm, Henning Meyerhenke +2
Collaboration networks arise when we map the connections between scientists which are formed through joint publications. These networks thus display the social structure of academi…