Part of this was originally posted at: http://scottjturnerranting.blogspot.co.uk/2015/12/social-network-analysis-fun-and.html
|figure 1. #StarWars 30/12/15|
Figure 2 shows the most active tweeters for this hashtag and the most influential based on Retweets and Mentions - the four greatest influencers are picked out in the video below, showing the map evolving (speed-up 20 times).
To experiment with this a bit more +The Royal Institution has a long traditional of holding a series of Christmas Lectures which are now televised, Dr Kevin Fong presented this years. I was curious about who the biggest influencers on twitter were for the hashtag #xmaslectures over the three days of the show. The three biggest influencers came out as @Kevin_Fong @Ri_Science @astro_timpeake, the presenter, the host organisation and one of the main guests (had to present virtually as he is on the ISS at the time of writing). The figure below shows the centre of the graph were the majority of the connections.
|figure 3 #xmaslectures|
To read more about this go to the tutorial by Alessandro Zonin https://alessandrozonin.wordpress.com/2015/02/20/socioviz-a-free-social-network-analysis-tool-for-twitter/.
Another example of used it for is plotting a particular tweetchat (based on hashtag) and seeing if there were groupings within the data. There was for this particular chat.
|figure 4 plotting a tweetchat|
Looking at certain an institution's considerable twitter links (@UniNorthants) below over a one month period (8/12/2015-8/1/2016). Different types of groups and links between groups example shown in figures 6 and 7.
|figure 5 organisations twitter connections over a month|
|figure 6 same organisation just focussing on one group|
|figure 7 links between groups|
All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with