The longest minimum-weight path in a complete graph
Louigi Addario-Berry, Nicolas Broutin, Gabor Lugosi

TL;DR
This paper investigates the length of the longest minimum-weight path between node pairs in a complete graph with random exponential edge weights, revealing it scales with approximately 3.59 times log n edges.
Contribution
It provides a precise asymptotic characterization of the longest minimum-weight path length, answering a question posed by Janson (1999).
Findings
Longest minimum-weight path has about 3.5911 log n edges.
The value 3.5911 is the unique solution to alpha log(alpha) - alpha = 1.
Results confirm the asymptotic behavior of path lengths in weighted complete graphs.
Abstract
We consider the minimum-weight path between any pair of nodes of the n-vertex complete graph in which the weights of the edges are i.i.d. exponentially distributed random variables. We show that the longest of these minimum-weight paths has about \alpha^* \log nalpha log(alpha) - \alpha =1. This answers a question posed by Janson (1999).
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Privacy-Preserving Technologies in Data · Random Matrices and Applications
