160 citations · 170 across the 6 of their papers we have counts for
4 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…
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…