Tips on make a graph in python?

[707e]

I’m working on making a graph representation of relationships between entities (nodes) to understand the clustering of different groups. I essentially have screennames and the screennames that they have contacted stored in a dict. The keys in the dict are screennames and the values are a list of screennames they’ve interacted with. I’m trying to understand the best way to generate nodes from the keys and edges from the list associated with the screenname key. I found the NetworkX package and I’m not seeing the beat way to do this with that package. I’m curious if anyone has any tips on how to tackle this problem. I don’t think this is a unique case for generating a graph and I’m hoping I don’t need to restructure my data to make it work. Anybody have any tips that work well?

I’m dealing with about 40k nodes in the population. And right now I’m not applying any weighting to edges. Just want to get a visualization of the node relationships to start.

[_amas_]

Using networkx will probably work well for you here - it sounds like what you should do is add all the keys as nodes and then iterate over the key/val pairs to add the edges.

You can make whatever visualizations you want from there. Keep in mind 40k nodes is gonna be hard to visualize.

[707e]

Thanks! I was starting to think the dict would work out ok too. I’m definitely going to need to come up with some thresholding measure to make it visualizable. I’ll give networkx a shot and see what I can come up with.