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Showing posts with label geo Twitter. Show all posts
Showing posts with label geo Twitter. Show all posts

2011-03-04

Twitter City Classification: The Mexican Bean Effect

Over the past few years one of the PhD students I supervise here in CASA has been working on the way cities 'tick'. Fabian Neuhaus is examining the temporal aspects of global cities and the results are interesting.

One recent piece of work that caught our eye was Fabians classification sample of nine cities ordered from evening to morning based on twitter activity. Some cities seem to be more active in the morning and other in the evening. Dubai and Istanbul for example are clearly more active in the late hours, where on the other end Cairo and Bogota are early birds and tweet a lot more in the morning. The US cities Boston and Atlanta have both a peak in the morning and in the evening.

We liked the way Mexico's twitter activity is bean shaped:



Image by urbanTick for NCL / timeRose diagram of 24 hours - showing twitter activity in percentage of total tweets by hour of the day. Covers the cities Cairo, Bogota, Mexico City, Manila, Atlanta ,Boston Los Angeles, Istanbul, Dubai.

Similarly there are preferences regarding the weekdays, not all areas tweet the same day. The early week days, Monday and Tuesday are generally less active than the rest of the week. Manila clearly prefers the weekend, where Cairo, Istanbul and Mexico City prefer the end of the week, Thursday and Friday. Dubai and especially Bogota have the least differences between the weekdays with very similar numbers of tweets through out the week.

For more head over to http://www.urbantick.blogspot.com

2010-03-31

flutter: Realtime Social Media Mapping

We are always wary of any description text that states 'one of the most interesting things you'll watch all day' but it is actually a really neat movie and product, so we'll let the marketing department off this time - flutter:



Written in Adobe Flex, the application mashes up ESRI's ArcGIS Online mapping services with some of the most popular media feeds available today: Twitter, Flickr, & YouTube. The music leaves us waiting to see 'Matt' as it seems to the same track used in http://www.wherethehellismatt.com/ which kind of takes the focus away just a little bit.

See http://www.dbmediastudio.com/samples/mashup/ to see it running live, its quite hypnotic to watch.

2010-03-17

London Twitter Cloud Updated Movie

An update movie on our data collection via Twitter in association with urbantick. The data covers a weekend period from Friday evening to Monday morning containing 380,000 individual tweets. Within these 60,000 were geo-referenced, tweeted by 5,500 individual users.


The movie clip uses Google Earth to visualise the data:



Music - Becoming Visible by Xanthe on MP3 Unsigned.

Note the 'tweets' at Heathrow and how you can almost pick out London's shape via the twitter cloud alone. The original movie can be found here.

2010-03-09

London Twitter Cloud

Regular readers will know we have been logging data in 12 cities via our Tweet-o-Meter, its still early days but the results for a weekend in London are intriguing.


The data covers a weekend period from Friday evening to Monday morning containing 380,000 individual tweets. Within these 60,000 were geo-referenced, tweeted by 5,500 individual users.

In terms of density the focus is on central London with local hotspots as the weekend progresses, around Kings Cross and Old Street. There is also a noticable trace along the main transport routes into and out of town, noting that we seem to be tweeting while on the move. The clip below details the visualisation in Google Earth:




Music - 'Social Awkwardness' by Xanthe  over on unsigned bands.

The clip reveals a message cloud rising and hovering above London as a time-space aquarium where the time is plotted as the height information. Interestingly Google Earth is becoming the visualiser of choice for such data sets, the combination of location, imagery with the ability to view by time makes it a formidable engine for data visualisation.

Thanks go to urbantick who converted the data via a custom VB script.