Fair Short Paths in Vertex-Colored Graphs
DOI:
https://doi.org/10.1609/aaai.v37i10.26455Keywords:
SO: Mixed Discrete/Continuous Search, GTEP: Coordination and CollaborationAbstract
The computation of short paths in graphs with arc lengths is a pillar of graph algorithmics and network science. In a more diverse world, however, not every short path is equally valuable. For the setting where each vertex is assigned to a group (color), we provide a framework to model multiple natural fairness aspects. We seek to find short paths in which the number of occurrences of each color is within some given lower and upper bounds. Among other results, we prove the introduced problems to be computationally intractable (NP-hard and parameterized hard with respect to the number of colors) even in very restricted settings (such as each color should appear with exactly the same frequency), while also presenting an encouraging algorithmic result ("fixed-parameter tractability") related to the length of the sought solution path for the general problem.Downloads
Published
2023-06-26
How to Cite
Bentert, M., Kellerhals, L., & Niedermeier, R. (2023). Fair Short Paths in Vertex-Colored Graphs. Proceedings of the AAAI Conference on Artificial Intelligence, 37(10), 12346-12354. https://doi.org/10.1609/aaai.v37i10.26455
Issue
Section
AAAI Technical Track on Search and Optimization