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I gave a seminar on my current research phase.
I summarised my work over the past few months; in particular, the work on the network structure of Twitter, the way in which tweets
propagate through different network types, and the implications of this. I discussed the importance of precision and recall as metrics
for determining a timeline\'s quality and how this is altered through retweeting in different network types.
I concluded by talking about my next area of research; how I may use the model used for the previous experimentation to determine if
a tweet is particularly interesting based on its features. Essentially, this boils down to showing that tweets are siginificantly
interesting (or uninteresting) by looking at how they compare to their _predicted_ retweet behaviours as produced by the model.