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20182025
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cs.DS2021

The Complexity of Gerrymandering Over Graphs: Paths and Trees

Matthias Bentert, Tomohiro Koana, Rolf Niedermeier

Roughly speaking, gerrymandering is the systematic manipulation of the boundaries of electoral districts to make a specific (political) party win as many districts as possible. Whi…

cs.DS2020

Parameterized Complexity of Min-Power Asymmetric Connectivity

Matthias Bentert, Roman Haag, Christian Hofer +2

We investigate parameterized algorithms for the NP-hard problem Min-Power Asymmetric Connectivity (MinPAC) that has applications in wireless sensor networks. Given a directed arc-w…

cs.DS2019

Efficient Computation of Optimal Temporal Walks under Waiting-Time Constraints

Anne-Sophie Himmel, Matthias Bentert, André Nichterlein +1

Node connectivity plays a central role in temporal network analysis. We provide a comprehensive study of various concepts of walks in temporal graphs, that is, graphs with fixed ve…

cs.DS2018

Listing All Maximal -Plexes in Temporal Graphs

Matthias Bentert, Anne-Sophie Himmel, Hendrik Molter +3

Many real-world networks evolve over time, that is, new contacts appear and old contacts may disappear. They can be modeled as temporal graphs where interactions between vertices (…

cs.DS2018

Parameterized Complexity of Diameter

Matthias Bentert, André Nichterlein

Diameter -- the task of computing the length of a longest shortest path -- is a fundamental graph problem. Assuming the Strong Exponential Time Hypothesis, there is no $O(n^{1.99})…

cs.DS2018

An Adaptive Version of Brandes' Algorithm for Betweenness Centrality

Matthias Bentert, Alexander Dittmann, Leon Kellerhals +2

Betweenness centrality---measuring how many shortest paths pass through a vertex---is one of the most important network analysis concepts for assessing the relative importance of a…