97 citations · 229 across the 33 of their papers we have counts for
4 papers · 1 filter
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…
Clustering Evolving Networks
Tanja Hartmann, Andrea Kappes, Dorothea Wagner
Roughly speaking, clustering evolving networks aims at detecting structurally dense subgroups in networks that evolve over time. This implies that the subgroups we seek for also ev…
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…