160 citations · 170 across the 6 of their papers we have counts for
10 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…
Many-to-many Correspondences between Partitions: Introducing a Cut-based Approach
Roland Glantz, Henning Meyerhenke
Let and be finite partitions of the set . Finding good correspondences between the parts of and those of is helpful in…
An Empirical Comparison of Big Graph Frameworks in the Context of Network Analysis
Jannis Koch, Christian L. Staudt, Maximilian Vogel +1
Complex networks are relational data sets commonly represented as graphs. The analysis of their intricate structure is relevant to many areas of science and commerce, and data sets…
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…
Fully non-linear elliptic equations on compact Hermitian manifolds
Gábor Székelyhidi
We derive a priori estimates for solutions of a general class of fully non-linear equations on compact Hermitian manifolds. Our method is based on ideas that have been used for dif…
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…
Engineering Parallel Algorithms for Community Detection in Massive Networks
Christian L. Staudt, Henning Meyerhenke
The amount of graph-structured data has recently experienced an enormous growth in many applications. To transform such data into useful information, fast analytics algorithms and…