Unfortunately, there is no widely accepted, ready to use, standard way to interactively visualize networks in python. The following post shows yet another attempt to build an ad-hoc app.
My boss came to me the other day with a new type of project. This time we would not be doing our usual predictive modeling in R, but instead we would be solving a graph theory problem… and we would be doing it in Python.
Our end goal was to create a visualization of a network that a user could click on that would do the following things: display immediate subgraph of a selected node, display shortest path between two selected nodes, and display most likely path between two selected nodes. We decided the best approach would be to start with a small test network, and set up a graphical system that would visualize the network and allow for user interactivity.
The test network featuring my boss’s daily movements was a .CSV and is shown below:
The origin and dest columns represent the nodes (places my boss goes) connected by…
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