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20182025
most citedRecent Advances in Scalable Network Generation

7 citations · 10 across the 3 of their papers we have counts for

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cs.DS2025

Revisiting a Successful Reduction Rule for Dominating Set

Lukas Geis, Alexander Leonhardt, Johannes Meintrup +3

Given a graph with vertices and edges, the DominatingSet problem asks for a set of minimal cardinality such that every vertex either is in

cs.DS2024

Efficient Uniform Negative Edge Weights

Lukas Geis, Daniel Allendorf, Thomas Bläsius +4

We consider a maximum entropy edge weight model that allows for negative weights. Given a graph and possible weights typically consisting of positive and negative…

cs.DS2024

Insights into -shortcutting algorithms

Alexander Leonhardt, Ulrich Meyer, Manuel Penschuck

A graph is called a -graph iff every node can reach of its nearest neighbors in at most k hops. This property proved useful in the analysis and design of parallel shorte…

cs.DS2021

Engineering Uniform Sampling of Graphs with a Prescribed Power-law Degree Sequence

Daniel Allendorf, Ulrich Meyer, Manuel Penschuck +2

We consider the following common network analysis problem: given a degree sequence return a uniform sample from the ensemble of all…

cs.DS2020

Simulating Population Protocols in Sub-Constant Time per Interaction

Petra Berenbrink, David Hammer, Dominik Kaaser +3

We consider the problem of efficiently simulating population protocols. In the population model, we are given a distributed system of agents modeled as identical finite-state m…

cs.DS20207 cited

Recent Advances in Scalable Network Generation

Manuel Penschuck, Ulrik Brandes, Michael Hamann +5

Random graph models are frequently used as a controllable and versatile data source for experimental campaigns in various research fields. Generating such data-sets at scale is a n…