We are beta testing our integration of geolocated tweets into Mapsdata which will allow you to see Twitter messages on a map by hashtag, name, meta tag, location or time.

As ever, we’re keen for your feedback on how this can be used by you as an analytical tool or as way of sharing information with other people.

We can think of a range of uses, including:

Mapping health-related or public interest Tweets

In the visualization below, we mapped all the mentions of ‘Flu’ over a 12 hour period. 258 showed up as geotagged Tweets, and they paint an interesting picture of how people might be affected by health issues within a geography. We think this could be useful for pandemics but we would love to hear your thoughts, good or bad, about how this could be used. Perhaps for natural disasters, civil unrest, national events or elections.

Mapping consumer behaviour

In this example, we use our application to compare Tweets geographically, using three well-known coffee shops in the UK, Starbucks, Costa Coffee and Caffè Nero, using the following keywords: Starbucks, CostaCoffee, CaffeNero.

The results were as follows: 104 mentions in geolocated tweets for Starbucks, four for CostaCoffee and zero for CaffeNero over a 12 hour period.

We think this could give a new perspective on how customers interact with brands and help show how well a company is performing in terms of brand following and popularity on social media. Could you use this with your own brand? If so, how would you deploy it? Contact us if you have suggestions for how this could be deployed internally.

Mapping atmospherics

How are people feeling right now? Happy of sad? Are people healthy or unwell? How does that correlate to the weather in an area?

We ran a query on ‘happy’ versus ‘sad’ over a 12 hour period in central London and were glad to find that ‘happy’ was geotagged 25 times whereas only one Tweet mentioned ‘sad’, occurring near Old Street in the North East of the city. We hope that person feels better today.

How could you use this type of tool? We would love to hear from you and feed your thoughts into our future development. Is it something you would like to see as an iFrame, for example, whereby you could run your own comparison on your own site?



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