Connectivity of a family of bilateral preference random graphs

Abstract We study the bilateral preference graphs $\mathit{LK}(n, k)$ of La and Kabkab, obtained as follows. Put independent and uniform [0, 1] weights on the edges of the complete graph $K_n$ . Then, each edge ( i , j ) is included in $\mathit{LK}(n,k)$ if it is bilaterally preferred, in the sense that it is among the k edges of lowest weight incident to vertex i , and among the k edges of lowest weight incident to vertex j . We show that $k = \log(n)$ is the connectivity threshold, solving a conjecture of La and Kabkab, and obtaining finer results about the window. We also investigate the asymptotic behavior of the average degree of vertices in $\mathit{LK}(n, k)$ as $n\rightarrow\infty$ .

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Publication Details

Journal
Journal of Applied Probability
Published
2025-12-18
DOI
https://doi.org/10.1017/jpr.2025.10051
Primary Topic
Graph theory and applications
Type
article
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article

Connectivity of a family of bilateral preference random graphs

Hossein Dabirian, Vijay Subramanian
Journal of Applied Probability
Graph theory and applications
article

Connectivity of a family of bilateral preference random graphs

Hossein Dabirian, Vijay Subramanian
article en

Abstract

Abstract We study the bilateral preference graphs $\mathit{LK}(n, k)$ of La and Kabkab, obtained as follows. Put independent and uniform [0, 1] weights on the edges of the complete graph $K_n$ . Then, each edge ( i , j ) is included in $\mathit{LK}(n,k)$ if it is bilaterally preferred, in the sense that it is among the k edges of lowest weight incident to vertex i , and among the k edges of lowest weight incident to vertex j . We show that $k = \log(n)$ is the connectivity threshold, solving a conjecture of La and Kabkab, and obtaining finer results about the window. We also investigate the asymptotic behavior of the average degree of vertices in $\mathit{LK}(n, k)$ as $n\rightarrow\infty$ .

Journal of Applied Probability
University of Michigan (US)
Openalex Percentile: Top 55%
Graph theory and applications
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