Journal article
Succinct navigational oracles for families of intersection graphs on a circle
Theoretical computer science, v 928
03 Sep 2022
Abstract
We consider the problem of designing succinct navigational oracles, i.e., succinct data structures supporting basic navigational queries such as degree, adjacency and neighborhood efficiently for intersection graphs on a circle, which include graph classes such as circle graphs, k-polygon-circle graphs, circle-trapezoid graphs, trapezoid graphs. The degree query reports the number of incident edges to a given vertex, the adjacency query asks if there is an edge between two given vertices, and the neighborhood query enumerates all the neighbors of a given vertex. We first prove a general lower bound for these intersection graph classes, and then present a uniform approach that lets us obtain matching lower and upper bounds for representing each of these graph classes. More specifically, our lower bound proofs use a unified technique to produce tight bounds for all these classes, and this is followed by our data structures which are also obtained from a unified representation method to achieve succinctness for each class. In addition, we prove a lower bound of space for representing trapezoid graphs, and give a succinct navigational oracle for this class of graphs.
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Details
- Title
- Succinct navigational oracles for families of intersection graphs on a circle
- Creators
- Hüseyin Acan - Drexel UniversitySankardeep Chakraborty - The University of Tokyo, JapanSeungbum Jo - Chungbuk National UniversityKei Nakashima - University of TokyoKunihiko Sadakane - University of TokyoSrinivasa Rao Satti - Seoul National University
- Publication Details
- Theoretical computer science, v 928
- Publisher
- Elsevier
- Grant note
- JPMXS0120319794 / MEXT (https://doi.org/10.13039/501100001700) NRF-2020R1G1A1101477 / National Research Foundation of Korea (https://doi.org/10.13039/501100003725)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mathematics
- Web of Science ID
- WOS:000843530800012
- Scopus ID
- 2-s2.0-85132790473
- Other Identifier
- 991019169598404721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Theory & Methods