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Tag "Geneva"

How does the social network link location as people communicate? It would be very interesting to see how communication pattern link to location and context.

There is already quite some good stuff on this topic. Only recently John Reads defended successfully his PhD on a topic in this field. He was looking at telecommunication patterns in the South East and London region base on land line connections. He found some interesting patterns of linkages and hubs and was able to identify regions according to dominant trades. Also some landscape features showed up. For example the Thames was acting as a barrier even in the realm of phone call connections.

The TwitterNetworks of London, San Francisco or Munich generated from the NCL datasets are quite interesting where we can see how individuals are connected via interaction on te Twitter plattform using @-tweets and RT-tweets. The networks are built establishing the edges using these two direction indicators. Other networks based on twitter data have been focusing on institutions and text as with the ‘Why Mediate Art‘ project.

Image by urbanTick for NCLn / Circular graph showing the connection between the data sets collected for different urban areas in Switzerland. No connections between them exist, each one operates separate.

Recently the NCL network ha been looking at areas in Switzerland and mapped out the four large urban areas Zuerich, Geneva, Basel and Bern. Overall it is quite visible that Twitter is not as popular as it is in other parts of the world. It is still sort of seen as a time waister and something for nerds. This was aso reflected in the language settings with foreign languages dominating the fields. It seems quite popular with people to keep in touch with other parts of the world.

Switzerland is quite small and the linkages between the cities are well established. This is supported by a perfect public transport network and a wealth of political mechanisms to ensure equality and exchange. However socially of course the different languages to separate different communities. French is spoken in the West, German in central and North and Italian in the South of Switzerland. In the middle of sorts there is the dominating geographical landscape feature, the alps acting as barriers.

This complicated setting of barriers and ties makes Switzerland an interesting study object for social networks. It would be great to see how the different urban areas connect via individuals on social networking platforms.

Regarding our Twitter data we have two data sources. One is the individual records for each urban area over the period of one week, the other is a week long record of location based tweets sent across the whole of Switzerland including the south of Germany and the north of Italy with Milan.

Image by urbanTick for NCLn / Showing the social connections as found on Twitter within Switzerland. Data based on a location based Twitter record over the period of one week.
The alps in the centre act as barrier with only a few connections crossing them, either via a celebrity Twitter account, in this case Justin Biber and Jessica Alba or physical travel.

Looking at the first data set with individual records for each urban area, the networks separate out each city with no established connections between them. It was sort of expected, since the sample is small and the parameters are tight with only location based tweets.

Looking at the second dataset where the whole area was simultaneously recorded the big barriers show up clearly and there is a well established separation between North and South showing the alps as mountainous Twitter blockers. Interesting however, are especially the links across this barrier and there are some. Three links connect the norther part consisting of Geneva, Basel, Bern, Zuerich and southern Germany with the southern part consisting of Milan, Como and Turin. They represent different types.

The first type is the link via a common third party that is not necessarily in the area. This is most likely a very active and popular twitter acount. In this case there are three celebrities that establish the connections. They are Justin Biber, Jessica Alba and some guy Kenny Hamilton. These are the hubs that individual Twitter users from both sides of the mountains tweet at and establish a sort of second grade connection.

There is also the other type of first hand connections. this is established by an individua traveling around and tweeting both to connections in Milan, the southern part and users in Zuerich, the northern part. The fact that the individual has actually physically traveled between the two parts enforces these connections.

Image by urbanTick for NCLn / Switzerland with the locations of recorded tweets. This has been collected over a period of one week. The purple line shows the route travels by one individual users tweeting along the way and interacting with other user from both sides of the mountainous barrier.

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Geneva is the Swiss city with the most important international connections. In Geneva a lot of international organisations have a headquarter such as UNO, WHO, UNHCR, ILO, WIPO and the Red Cross. But there are also other institution of international significance based, such a the CERN or the World Wide Web Library.

This results in a very dense network of international connections and puts a rather small city on the world map. Geneva only has a population of some 190’000 people. This makes it the second largest city in Switzerland after Zuerich and before Basel and Bern.

Geneva New City Landscape
Image by urbanTick for NCL / Geneva New City Landscape map generated from location based tweets collected over the period of one week. The area covered is within a 30 km radius of Geneva.

Geneva is just like Basel another Swiss city located right at the border. Here it is the crossing between Switzerland and France. The map with a 30km radius then covers large areas of France too. It reaches right down to the French town of Annecy in the south.

The international flair in Geneva together with the beautiful scenery around the Lake of Geneva (Lac Leman) and the proximity to the mountains with great ski resorts also attracts high profile celebrities, who either live there or have a second home. For example Yoko Ono, Shania Twain or Phil Collins all live around the Lake Geneva. Also interesting there is a very special group of celebrities living in the area Michael Schumacher, Jacques Villeneuve, Jean Alesi, Alain Prost, David Coulthard and Fernando Alonso I wonder if they all go together for a spin around Lake Geneva once a week.

Geneva New City Landscape

Image by urbanTick using the GMap Image Cutter / Geneva New City Landscape -Use the Google Maps style zoom function in the top right corner to zoom into the map and explore it in detail. Explore areas you know close up and find new locations you have never heard of. Click HERE for a full screen view. The maps were created using our CASA Tweet-O-Meter, in association with DigitalUrban and coded by Steven Gray, this New City Landscape represents location based twitter activity.

The very peak of the Geneva NCL is just above the Jet d’Eau the major Geneva landmark. It is located in the port out on a jetty shooting 500 litre of water per second 140 meter into the sky. It has been the symbol for the past 130 years.

In the main hill most of the international organisations are included. There are a number of tweets from UNO, WHO and so on just to the North East of the Jet d’Eau. The second peak next to the central one is around the international airport and the PalExpo in the area of Vernier. An then there is a sort of activity ridge along the north shore of the Lake Geneva, the locations most of the international celebrities live.

Geneva timeRose
Image by urbanTick for NCL / The rose shows the twitter activity per hour of the day, starting at 00:00 at the top, displayed in local time. Geneva is a night time city with more activity between midnight and four than through out the work day. The graphs show the platform of preference used to send the tweet and the language set respectively.

Interestingly the data for Geneva shows a completely different time activity pattern than any of the urban areas looked at before. So far the activity over 24 hours always more or less fitted with the normal day activity pattern and showed the characteristic activity low between the early morning hours 3am – 4am. However Geneva has its activity peaks between 1am and 3am and overall the general activity high is between midnight and 6am.

Regarding the language English and Japanese are leading the table before French. Maybe this could explain the out of hour activity. Users are tweeting with and to different parts of the world during odd times, because of the different local times.

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