London Twitter Map

By sjg / Posted on 19 May 2011

We have been working hard here at CASA lately, building tools to collect, analyse and visualise different data sets from all over the web. One piece of software that has proven quite popular over the past few months is our internal Twitter Collector.

The collector mines Twitter for tweets inside a geographical radius either with a specified hash tag, for example #CASA, or just a plain geographical latitude/longitudinal search. This data can then be analysed in a variety of different ways from aggregating the data into the form of heat maps to sentiment analysis of individual tweets. The collector actually also powers and collects data for both our digital and analogue Tweet-o-Meters.

London Twitter Map

Oliver O’Brien and I have used the data collected over a 3 week period during the months of February and March to create an overview of social media activity in the Greater London area for the Royal Mail magazine for marketers, Contact. The heat map marks the intensity of 200,000 tweets from a 30km radius from the geographical center of London. Some interesting findings from this Twitter map were the appearance of roadwork traffic in the Rickmansworth area and the totally empty parks of Hampstead Heath, Hyde Park and Richmond Park.

Contact Magazine

We are quite excited, not only about the publication of this map, but also the implications of this research as it fuses together our social media mining and our interests in big data. The fact that we can pinpoint events and geographical areas just by mining Twitter data is very powerful indeed and we have only just scratched the surface of this fascinating research topic.

There are 7 Comments about this post

  1. [...] detail on Steven’s Big Data Toolkit blog. [...]


    on 25 May 2011 / 12:33 PM

  2. [...] detail on Steven’s Big Data Toolkit [...]


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  3. [...] detail on Steven’s Big Data Toolkit [...]


    on 25 May 2011 / 8:40 PM

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    on 06 February 2012 / 10:26 AM

  5. [...] CASA we have looked at the geo-located tweets of London from Twitter data and also James Cheshire, over at spatialanalysis.co.uk, and I have looked at the language [...]


    on 06 June 2012 / 10:46 AM

  6. [...] detail on Steven’s Big Data Toolkit [...]


    on 17 April 2013 / 7:12 PM

  7. Simon Foster says,

    Agree on schools in suburbs. Also, place or work or transport networks? There are some definite linear patterns that seem to reflect road or rail routes (or maybe pedestrians on high streets). Also, the map broadly matches population density, would be good to see it rebased as tweets per thousand pop. Thanks – interesting C21st geography!


    on 25 October 2013 / 3:48 PM


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