Twitter flows

Social media is an important source of data for engineering and understanding complex urban interactions. In this visualisation we have analysed twitter data to show the patterns of movement into and out of Newcastle/Gateshead. The data comes from a week's worth of twitter data which has been time synchronised and then aligned with the road network. If you look carefully you might spot a couple of tweeters who flew over.

How was it done?

Tweets contain both location and time data in their headers, which we analysed for a week. When there were more than two matching tweets, we plotted the points on the map. Then, using the same technology as in a sat nav, we calculated the shortest path along the rail/road network between the tweets. The speed of each white dot moving along a network was then calculated using the time between tweets.

Get in touch

Call Jennine on 0191 208 8599

or email urbanobservatory@ncl.ac.uk with "Research" in the subject

Get in touch

email A.Puussaar2@newcastle.ac.uk with "Sense_my_street" in the subject

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