For the critical long-range percolation metric, geodesics are almost surely unique and every geodesic has Hausdorff dimension equal to the distance exponent theta.
Distances in critical long range percolation
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abstract
We study the long range percolation model on $\mathbb{Z}$ where sites $i$ and $j$ are connected with probability $\beta |i-j|^{-s}$. Graph distances are now well understood for all exponents $s$ except in the case $s=2$ where the model exhibits non-trivial self-similar scaling. Establishing a conjecture of Benjamini and Berger \cite{BenBer:01}, we prove that the typical distance from site 0 to $n$ grows as a power law $n^{\theta(\beta)}$ up to a multiplicative constant for some exponent $0<\theta(\beta)<1$ as does the diameter of the graph on a box of length $n$.
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Uniqueness and dimension for the geodesic of the critical long-range percolation metric
For the critical long-range percolation metric, geodesics are almost surely unique and every geodesic has Hausdorff dimension equal to the distance exponent theta.