sudo apt install python3 python3-pip pipenvpipenv shellpipenv install
Whenever you enter, run pipenv shell to get the pipenv dependencies. Call python3 gilbert_graph.py path/to/dir/ to run an experiment on the average path length of graphs with rising number of nodes. It will save the output diagram to the specified path, together with a log file.
To create a Wattz-Strogatz random graph, just call RandomGraph(n, k, p). The average path length will then be saved as graph.average_path_length, the clustering coefficient will be saved as graph.clustering_coefficient. These values are lazy intialized, so that only the computation for the needed metrics are done.
For comparison, you can call graph.get_average_path_length() and graph.get_clustering_coefficient(), which calls the NetworkX alogrithms for the problem. Note that for big values for n, the operations will take some time. The average degree is saved as graph.average_degree. You can use tail -f path/gg.log to get quasi output for the logging.