Nowhere dense graph classes and algorithmic applications. A tutorial at Highlights of Logic, Games and Automata 2019
Sebastian Siebertz

TL;DR
This paper introduces the concept of nowhere dense graph classes, a broad framework for sparse graphs, and discusses their algorithmic applications, especially in fixed-parameter tractable model-checking for first-order logic.
Contribution
It provides a comprehensive tutorial on nowhere dense graph classes, highlighting their properties, characterizations, and significance in algorithmic graph theory.
Findings
Nowhere dense classes generalize many sparse graph classes.
Model-checking for first-order logic is fixed-parameter tractable on these classes.
The tutorial connects theoretical properties with practical algorithmic applications.
Abstract
The notion of nowhere dense graph classes was introduced by Ne\v{s}et\v{r}il and Ossona de Mendez and provides a robust concept of uniform sparseness of graph classes. Nowhere dense classes generalize many familiar classes of sparse graphs such as classes that exclude a fixed graph as a minor or topological minor. They admit several seemingly unrelated natural characterizations that lead to strong algorithmic applications. In particular, the model-checking problem for first-order logic is fixed-parameter tractable over these classes. These notes, prepared for a tutorial at Highlights of Logic, Games and Automata 2019, are a brief introduction to the theory of nowhere denseness, driven by algorithmic applications.
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · semigroups and automata theory
