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Theoretical Computer Science
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Theoretical Computer Science
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The complexity of degree anonymization by vertex addition

Authors: Robert Bredereck; Vincent Froese; Sepp Hartung; André Nichterlein; Rolf Niedermeier; Nimrod Talmon;

The complexity of degree anonymization by vertex addition

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Keywords

Analysis of algorithms and problem complexity, Graph operations (line graphs, products, etc.), Graph theory (including graph drawing) in computer science, fixed-parameter tractability, graph modification, kernelization, NP-hardness, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), degree-constrained editing, parameterized complexity

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    20
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
hybrid