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.