Abstract
A parametrized family of random walks whose trajectories are easily identified as graphs is presented. This construction shows small-world–like behavior but, interestingly, a power law emerges between the minimal distance L and the number of nodes N of the graph instead of the typical logarithmic scaling. We explain this peculiar finding in the light of the well-known scaling relationships in Random Walk Theory. Our model establishes a link between Complex Networks and Self-Avoiding Random Walks, a useful theoretical framework in polymer science.