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Temporal connectivity of Random Geometric Graphs

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arxiv 2502.15274 v1 pith:SMMKDRGJ submitted 2025-02-21 math.PR

Temporal connectivity of Random Geometric Graphs

classification math.PR
keywords randomgeometricconnectivitygraphstemporalgraphincreasingpaths
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A temporal random geometric graph is a random geometric graph in which all edges are endowed with a uniformly random time-stamp, representing the time of interaction between vertices. In such graphs, paths with increasing time stamps indicate the propagation of information. We determine a threshold for the existence of monotone increasing paths between all pairs of vertices in temporal random geometric graphs. The results reveal that temporal connectivity appears at a significantly larger edge density than simple connectivity of the underlying random geometric graph. This is in contrast with Erd\H{o}s-R\'enyi random graphs in which the thresholds for temporal connectivity and simple connectivity are of the same order of magnitude. Our results hold for a family of "soft" random geometric graphs as well as the standard random geometric graph.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Maximizing Reachability via Shifting of Temporal Paths

    cs.DS 2026-05 unverdicted novelty 6.0

    Maximizing reachability in k-path temporal graphs via budgeted shifts is FPT when parameterized by k and b together or by k alone, but intractable in most other parameterizations with matching XP algorithms.

  2. Sharp Thresholds for Temporal Motifs and Doubling Time in Random Temporal Graphs

    cs.DM 2026-02 conditional novelty 6.0

    In two random temporal graph models, each fixed δ-temporal motif has an existence threshold determined by the sparsity min |V|/(|E|−1) over subgraphs.