[Python] Build aggregated network graph from Pandas dataframe containing a column with list of...

I'm dipping my toes into network visualizations in Python. I have a dataframe like the following:

| user | nodes |
| -----| ---------|
| A | [0, 1, 3]|
| B | [1, 2, 4]|
| C | [0, 3] |
|... | |


Is there a way to easily plot a network graph (NetworkX?) from data that contains the list of nodes on each row? The presence of a node in a row would increase the prominence of that node on the graph (or the prominence/weight of the edge in the relationship between two nodes).



I assume some transformation would be required to get the data into the appropriate format for NetworkX (or similar) to be able to create the graph relationships.

Thanks!

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