More Pivots Around Twitter Data (little-l, little-d, again;-)
I’ve been having a play with Twitter again, looking at how we can do the linked thing without RDF, both within a Twitter context and also (heuristically) outside it.
First up, hashtag discovery from Twitter lists. Twitter lists can be used to collect together folk who have a particular interest, or be generated from lists of people who have used a particular hashtag (as Martin H does with his recipe for Populating a Twitter List via Google Spreadsheet … Automatically! [Hashtag Communities]).
The thinking is simple: grab the most recent n tweets from the list, extract the hashtags, and count them, displaying them in descending order. This gives us a quick view of the most popular hashtags recently tweeted by folk on the list: Popular recent tags from folk a twitter list
This is only a start, of course: it might be that a single person has been heavily tweeting the same hashtag, so a sensible next step would be to also take into account the number of people using each hashtag in ranking the tags. It might also be useful to display the names of folk on the list who have used the hashtag?
I also updated a previous toy app that makes recommendations of who to follow on twitter based on a mismatch between the people you follow (and who follow you) and the people following and followed by another person – follower recommender (of a sort!):
The second doodle was inspired by discussions at Dev8D relating to a possible “UK HE Developers’ network”, and relies on an assumption – that the usernames people use Twitter might be used by the same person on Github. Again, the idea is simple: can we grab a list of Twitter usernames for people that have used the dev8d hashtag (that much is easy) and then lookup those names on Github, pulling down the followers and following lists from Github for any IDs that are recognised in order to identify a possible community of developers on Github from the seed list of dev8d hashtagging Twitter names. (It also occurs to me that we can pull down projects Git-folk are associated with (in order to identify projects Dev8D folk are committing to) and the developers who also commit or subscribe to those projects.)
As the above network shows, it looks like we get some matches on usernames…:-)