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Brief Announcement: On the Existence of δ-Temporal Cliques in Random Simple Temporal Graphs

Mertzios, George; Nikoletseas, Sotiris; Raptopoulos, Christofors; Spirakis, Paul

Brief Announcement: On the Existence of δ-Temporal Cliques in Random Simple Temporal Graphs Thumbnail


Authors

Sotiris Nikoletseas

Christofors Raptopoulos

Paul Spirakis



Abstract

We consider random simple temporal graphs in which every edge of the complete graph K_n appears once within the time interval [0,1] independently and uniformly at random. Our main result is a sharp threshold on the size of any maximum δ-clique (namely a clique with edges appearing at most δ apart within [0,1]) in random instances of this model, for any constant δ. In particular, using the probabilistic method, we prove that the size of a maximum δ-clique is approximately (2 log n)/(log 1/δ) with high probability (whp). What seems surprising is that, even though the random simple temporal graph contains Θ(n²) overlapping δ-windows, which (when viewed separately) correspond to different random instances of the Erdős-Rényi random graphs model, the size of the maximum δ-clique in the former model and the maximum clique size of the latter are approximately the same. Furthermore, we show that the minimum interval containing a δ-clique is δ-o(δ) whp. We use this result to show that any polynomial time algorithm for δ-Temporal Clique is unlikely to have very large probability of success.

Presentation Conference Type Conference Paper (Published)
Conference Name 3rd Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2024)
Start Date Jun 5, 2024
End Date Jun 7, 2024
Acceptance Date Mar 21, 2024
Online Publication Date May 31, 2024
Publication Date May 31, 2024
Deposit Date May 2, 2024
Publicly Available Date Jun 10, 2024
Publisher Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Volume 292
Pages 27:1-27:5
Series Title Leibniz International Proceedings in Informatics (LIPIcs)
Series ISSN 1868-8969
Book Title 3rd Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2024)
ISBN 9783959773157
DOI https://doi.org/10.4230/LIPIcs.SAND.2024.27
Public URL https://durham-repository.worktribe.com/output/2431671

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