11 November 2016 4 10K Report

I'm trying to calculate the fractal dimension of a directed (and unweighted) graph by means of the box covering algorithm described in the attached article. I have also found a python implementation of the algorithm (see link below). However, I don't understand if these techniques work only for undirected graphs or if they can be applied to directed graphs as well. Another possibility is to transform my directed graph into an undirected one simply by adding the missing edges (e.g., if there is an edge from node A to node B, I can add the missing edge from B to A, so that the adjacency matrix becomes symmetric and the corresponding graph becomes undirected). I was wondering if the directed graph and its undirected counterpart would have the same fractal dimension. Unfortunately on the internet I cannot find any statemement about the possibility to apply these algorithms to directed graphs.

https://arxiv.org/abs/cond-mat/0701216

http://www-levich.engr.ccny.cuny.edu/~hmakse/modules.py

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