[Air-L] Large Twitter network graph

[Corten, R. (Rense)]

Samuel,

Frankly I wonder why you'd try to visualize the graph as a whole at all. If you want to visually inspect the metrics that you mention, I'd plot their distributions (e.g., distributions of degree or centrality; betweenness is of course a type of centrality) rather than the graph as a whole. Even with >1M nodes, the plotting itself should not be an issue with most tools, although computing the distributions (esp. for betweenness) could be a challenge.

Best, Rense

-----Original Message-----
Message: 2
Date: Mon, 7 Sep 2020 23:14:09 +0200
From: Olaniran Psalmuel <psalmuel35 at gmail.com>
To: air-l at listserv.aoir.org
Subject: [Air-L] Large Twitter network graph
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Hello all,

I am in need of help and suggestions on a task for my study. I have a dataset with over 1 million nodes that I am trying to graph. My interest is in visualising the degree of connections, centrality and betweenness. Used Networkx module in python but the code for drawing the graph runs for days with no error or output. I have tried out a smaller sample of the dataset and it worked nicely.
Any suggestions on a tool/software that can handle such node size, or an alternative approach would be greatly appreciated.
Thank you in advance.

Samuel Olaniran
PhD Student,
Department of Media Studies,
University of the Witwatersrand