TV Audience Social Interest Mapping – Shameless vs. Newsnight vs Masterchef

How easy is it to differentiate between audiences of different types of TV programme based on their socially signalled interests?

This evening, I ran a couple of Twitter searches against the #shameless and #newsnight hashtags. In each case, I grabbed 1500 of the most recent tweets and generated lists of folk who had tweeted the corresponding hashtag at least twice in the sample set. I then grabbed the lists of all the friends of the folk in each list to generate a projection map of the friends of recent hashtaggers. The final preprocessing step was to filter each network to contain only nodes that had at least an indegree or outdegree of 25 (that is, I filtered the network to only include folk who had at least 25 friends, or were linked to by at least 25 of the folk in the corresponding hashtaggers list).

Here’s the resulting map generated around the #shameless tag – it gives an impression of folk who tend to be followed by folk using the #shameless tag:

Positiioning #shameless

Music, celebrities, footballers and comedians, err, I think?!

By way of comparison, here’s a sketch of who the folk using the #newsnight tag follow:

Positioning the #newsnight audience

MPs, political hacks, and higher brow level of comedian maybe?! ;-)

PS for what it’s worth, here’s another map for tweets grabbed now around #masterchef, which aired a few hours ago:

Positioning #masterchef

So that’ll be a cooking show with some high profile talent (in the narrower scheme of things) then?!


  1. Tony Hirst

    @Nick Thanks:-) The maps are generated using a technique I’m calling ESP (emergent social positioning). I search for tag users, grab their followers, find their friends, then filter. I then layout the networks using Gephi.. I sooooo need to write the method up properly… I’m happy to chat if you have a little project in mind?!;-)

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