Graph rewriting: an algebraic and logic approach
Handbook of theoretical computer science (vol. B)
Parameterized Complexity Theory (Texts in Theoretical Computer Science. An EATCS Series)
Parameterized Complexity Theory (Texts in Theoretical Computer Science. An EATCS Series)
Invitation to data reduction and problem kernelization
ACM SIGACT News
Social Networking Communities and E-Dating Services: Concepts and Implications
Social Networking Communities and E-Dating Services: Concepts and Implications
Algorithms and Experiments for Clique Relaxations--Finding Maximum s-Plexes
SEA '09 Proceedings of the 8th International Symposium on Experimental Algorithms
Incompressibility through Colors and IDs
ICALP '09 Proceedings of the 36th International Colloquium on Automata, Languages and Programming: Part I
On problems without polynomial kernels
Journal of Computer and System Sciences
Parameterized complexity of candidate control in elections and related digraph problems
Theoretical Computer Science
Llull and Copeland voting computationally resist bribery and constructive control
Journal of Artificial Intelligence Research
Kernelization: New Upper and Lower Bound Techniques
Parameterized and Exact Computation
Clique Relaxations in Social Network Analysis: The Maximum k-Plex Problem
Operations Research
Parameterized Complexity
On Bounded-Degree Vertex Deletion parameterized by treewidth
Discrete Applied Mathematics
Studies in computational aspects of voting: open problems of downey and fellows
The Multivariate Algorithmic Revolution and Beyond
Discrete Applied Mathematics
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For directed and undirected graphs, we study the problem to make a distinguished vertex the unique minimum-(in) degree vertex through deletion of a minimum number of vertices. The corresponding NP-hard optimization problems are motivated by applications concerning control in elections and social network analysis. Continuing previous work for the directed case, we show that the problem is W[2]-hard when parameterized by the graph's feedback arc set number, whereas it becomes fixed-parameter tractable when combining the parameters "feed-back vertex set number" and "number of vertices to delete". For the so far unstudied undirected case, we show that the problem is NP-hard and W[1]-hard when parameterized by the "number of vertices to delete". On the positive side, we show fixed-parameter tractability for several parameterizations measuring tree-likeness, including a vertex-linear problem kernel with respect to the parameter "feedback edge set number". On the contrary, we show a non-existence result concerning polynomial-size problem kernels for the combined parameter "vertex cover number and number of vertices to delete", implying corresponding nonexistence results when replacing vertex cover number by treewidth or feedback vertex set number.