Do you use visualisations to identify online influencers? Yesterday we did some social media research for a client that involved monitoring discussions taking place during the Liberal Democrat 2014 conference. This resulted in a lot of juicy data, 10,000+ tweets! It seemed a waste to just confine this to the desktop recycling bin, especially as we had paid to access this data, so instead we decided to visualise the liberal ramblings.
Click here or the image below to see the full interactive map (new window will open).
Explore the map: zoom in and out, select Twitter users and see how messages spread across Twitter.
Here’s a guide to the interactive map:
- Colours represent communities of Twitter users, connected via @reply or retweets
- Lines indicate @reply or retweets made between users
- Twitter user size refers to influence, which is calculated in this visualisation by the below conditions:
- Lifecycle of content: news lasts longer than a tweet
- Number of subscribers and followers to an author
- Number of reactions (reposts, RTs, shares, likes, favourites)
We use these types of visualisations at Keene to assist us in identifying influencers of a campaign, spot communities that we could engage with and measure the reach of our campaigns. It is a technology and methodology we are constantly developing, and have done since January 2013.
If you would like to talk to us about our digital public affairs offerings, then do get in touch here.