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Eavesdropping on Narrowcast Self-talk and Microchats on Twitter
Abstract
On Twitter, a range of discourse networks may be extracted showing different types of conversational interactions. While the attention is often on what is trending and large-size high-interactive social graphs, many extracted networks are self-loops and small-group discourse networks based on ad hoc narrowcast conversations. In this exploratory study of microblogging messaging on Twitter, the focus is on microblogging conversations that result in self-loops (self-to-self conversations, individuals microblogging to themselves) and small-group graphs and motifs (one-to-few or few-to-few conversations). This work proposes and tests hypotheses about the various types of seeding #hashtags and keywords that result in different types of ad hoc microblogging microchat network graphs on Twitter.
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