The rising mountains and dropping valleys remodel the density of messages as a temporary urban landscape. Earlier coverage on this topic can be found HERE and HERE.
A more detailed series we start now looking at the different places New York, London, Munich and Paris individually. This time the focus is on Paris, Ille de France. In timeRose diagrams the temporary aspect of the data is developed with a visual means line to indicate characteristics of individual units. This method allows graphical analysis, highlighting the important aspects.
Image by single-blogs / New City Landscape of Paris, France. A topography map generated from twitter activity around the Ille of France.
The 'Dents des Halles' mark the highest point on the map, being a location of high tweeting activity. It is quite an important meeting point for people of all ages. It is a place to hang out, to stand around with no specific activity at hand. This seems to be an important condition for high twitter activity. Counter the assumption important places wil stand out, usually the less expected places close by will have the peak. Take the 'Tour Eiffel' for example it made it only as the 'Flanc Tour Eiffel' at the bottom of the 'Colline d'Champ-Elysees'. The mix is more complicated and I am guessing that everyday location combined with routine activities actually float on the top, over one of activities. However to make the peak it obviously needs a combination.
From the Tour Eiffel up to the 'Cime Excelmans' down the 'Flac des Princes' across the 'Carriere Marnes-la-Coquette', one reaches the 'Aiguille du Chesnay', The peak next to Versailles. This another example of lower activity than expected.
A group of three peaks to the north-east marks the airport Charles de Gaulle a dent that would follow the logic.
Image by single-blogs / TimeRose analysis of the tweeting activity in Paris, France over the period of one week. The means line helps to classify the information.
Looking at the activity over time of the individual weekdays the pattern between weekends and weekdays is quit obvious. The visualisation here is a timeRose where the 24 hours are plotted around the circle, with the amount of tweeting plotted radial.
The means line is used to mark the highest activity peaks, with the angle of it indicating the fraction of the day covered. A steep line means late morning and late night, representing the tendency on weekends. Whereas a flat line points to early morning and early evening activity, as it draws on weekdays.
There is a problem with the data from Wednesday, this is due to the fact that witter was down and we do not have data for this period. However the drop off's on both sides suggest a similar pattern as we find on the other weekdays.
The usual pattern is a three peak blob, representing morning, lunch and evening. With flater means the morning merges in to the lunch peak and a shift towards later times takes place. This shift starts to build up already during the week starting from Thursday.
Image by single-blogs / The island of twitter land Paris in the digital see of information. Generated from tweet density send form mobile devices in Paris, France.
The Other cities wil follow as blog posts very soon, stay tuned.
Thanks forsupport with the development of this to Annick Labeca at Urban Lab Global Cities
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