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  1. Home > Articles & Issues >
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  3. Fast Diameter Comput ...
Article

Fast Diameter Computation within Split Graphs

Guillaume Ducoffe, Michel Habib ORCID, Laurent Viennot
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Submitted on
April 23, 2020
Accepted on
September 10, 2021
Published on
November 15, 2021
Last modified on
March 31, 2025
Volume 23
vol. 23:3
Graph Theory
DOI
10.46298/dmtcs.6422
License
arXiv.org - Non-exclusive license to distribute
Metric graph theory
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1090
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927
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Fast Diameter Computation within Split Graphs

Guillaume Ducoffe, Michel Habib ORCID, Laurent Viennot
Abstract
When can we compute the diameter of a graph in quasi linear time? We address this question for the class of {\em split graphs}, that we observe to be the hardest instances for deciding whether the diameter is at most two. We stress that although the diameter of a non-complete split graph can only be either $2$ or $3$, under the Strong Exponential-Time Hypothesis (SETH) we cannot compute the diameter of an $n$-vertex $m$-edge split graph in less than quadratic time -- in the size $n+m$ of the input. Therefore it is worth to study the complexity of diameter computation on {\em subclasses} of split graphs, in order to better understand the complexity border. Specifically, we consider the split graphs with bounded {\em clique-interval number} and their complements, with the former being a natural variation of the concept of interval number for split graphs that we introduce in this paper. We first discuss the relations between the clique-interval number and other graph invariants such as the classic interval number of graphs, the treewidth, the {\em VC-dimension} and the {\em stabbing number} of a related hypergraph. Then, in part based on these above relations, we almost completely settle the complexity of diameter computation on these subclasses of split graphs: - For the $k$-clique-interval split graphs, we can compute their diameter in truly subquadratic time if $k={\cal O}(1)$, and even in quasi linear time if $k=o(\log{n})$ and in addition a corresponding ordering of the vertices in the clique is given. However, under SETH this cannot be done in truly subquadratic time for any $k = \omega(\log{n})$. - For the {\em complements} of $k$-clique-interval split graphs, we can compute their diameter in truly subquadratic time if $k={\cal O}(1)$, and even in time ${\cal O}(km)$ if a corresponding ordering of the vertices in the stable set is given. Again this latter result is optimal under SETH up to polylogarithmic factors. Our findings raise the question whether a $k$-clique interval ordering can always be computed in quasi linear time. We prove that it is the case for $k=1$ and for some subclasses such as bounded-treewidth split graphs, threshold graphs and comparability split graphs. Finally, we prove that some important subclasses of split graphs -- including the ones mentioned above -- have a bounded clique-interval number.
Keywords
  • Computer Science - Data Structures and Algorithms
  • Mathematics - Combinatorics
Mathematics Subject Classification 2020
  • 05C12 - Distance in graphs
  • 05C85 - Graph algorithms (graph-theoretic aspects)
  • 68Q25 - Analysis of algorithms and problem complexity
  • 68R10 - Graph theory (including graph drawing) in computer science
Cited by

Source: OpenCitations

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    Lecture notes in computer science

    Authors : Feodor F. Dragan, Guillaume Ducoffe ORCID, Heather M. Guarnera ORCID

    Journal reference : Volume , 2021, pp. 300-314

    DOI : 10.1007/978-3-030-83508-8_22
  • Distance problems within Helly graphs and k-Helly graphs

    arXiv (Cornell University)

    Authors : Guillaume Ducoffe ORCID

    Journal reference : Volume 946, 2023, pp. 113690

    DOI : 10.1016/j.tcs.2023.113690
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