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Thank you for your response. Actually, I was already planning to index mood according to all
Tweets in the dataset to establish the mood attribute for each vertex (i.e., anything you post
goes into your mood calculation, only posts that are replies go into edge calculation). It is
comforting to know you thought of the same thing. When you say NLTK, you mean the Python
package right? I've got to do more digging in that.
Also, I'd be interested to see any of the preliminary results you have. As an aside, have you
noticed a drop in the size of the largest connected component over time on Twitter in your
work? I'm pretty sure my code is correct (I've tried several approaches and always get the
same result), but my giant components are orders of magnitude smaller than expected, so I
wonder whether I have made a mistake.
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