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RESOURCE: First look at analysing threaded Twitter discussions from large archives using NodeXL #moocmooc Jisc CETIS MASHe

There are three main reactions that are relatively easy to extract from twitter: retweets, favouring and replies. There are issues with what these actions actually indicate as well as the reliability of the data. For example users will use ‘favouring’ in different ways, and not everyone uses a twitter client that can or uses a reply tweet (if you start a message @reply without clicking a reply button Twitter looses the thread).

But lets ignore these issues for now and start with the hypothesis that a reaction to a tweet is worth further study. Lets also, for now, narrow down on threaded discussions. How might we do this? As mentioned in Sheila’s post we’ve been archiving #moocmooc tweets using Twitter Archiving Google Spreadsheet TAGS v3. As well as the tweet text other metadata is recorded including a tweet unique identifier and, where available the id of the tweet it is replying to.

via First look at analysing threaded Twitter discussions from large archives using NodeXL #moocmooc Jisc CETIS MASHe.

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Brian S McGowan, PhD

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Brian is a research scientist and educational technologist. He helped transform Pfizer’s Medical Education Group and previously served in educational leadership roles at HealthAnswers, Inc.; Acumentis, LLC.; Cephalon; and Wyeth. He taught graduate medical education programs at Arcadia University for 10 years. Dr. McGowan recently authored the book "#socialQI: Simple Solutions for Improving Your Healthcare" and has been invited to speak internationally on the subject of information flow, technology, and learning in healthcare.

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