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Tag "tweetography"

Zuerich is the an important commercial centre for Switzerland. The city and the regio is home to a lot of international companies, a banking hub and as well as destination for a lot international celebrities or otherwise rich people to enjoying their wealth. With its international airport it maintains well establish international transport connections and let the location play a role in the European and international trade. For not being the political hub of Switzerland it is the busiest and largest agglomeration in the country.

It is however, in an international context a rather small hub with a population for the city and surrounding of just above 800’000 people. After a period of quite some decline of the urban quality in the late eighties and early nineties the city managed to turn these trends around and is since in a constant upwards trend. Zuerich featured for the past couple of years constantly in the top league of international city rankings, gaining points with the quality of urban spaces, ecology and sustainability. In the most recent Mercer 2010 list Zuerich features behind Vienna on the second place, just before Geneva, another Swiss city.

Zuerich New City Landscape
Image by urbanTick for NCL / Zuerich 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 Zuerich.

The data for the Zuerich New City Landscape map has been collected earlier this year over the period of one week. In terms of its morphology the Zuerich landscape fits in with other cities showing independant island characteristics like Moscow or Sydney. The Zuerich New City Landscape (NCL) map is generated purely from geolocated tweets, sent over the period of one week using the devices GPS information. This is virtual landscape generated from tweet density sent from within a 30 km radius of Zuerich. NCL is an ongoing project, an world wide overwie of covered loactions can be accessed though HERE.

The ‘Bahnhofspitze’ above the main train statino is definitely the highest feature of the virtual landscape. It probably shows the importance of the city as a hub also for other regions of the country. With its relative proximity of the important cities there is a lot of commuting between the centres and Zuerich plays an important role, attracting a lt of workers on a daily basis from Basel and Bern as well as international. With the train network being extremely sophisticated and reliable it is the transport of choice for most of the traveling between the centres, hence the arrival or point of departure being the important feature.

Zuerich New City Landscape

Image by urbanTick using the GMap Image Cutter / Zuerich 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 timeRose over the twenty four hour period shows the twitter activities in Zuerich overall a mainly during the day. There is a fat mid day bit with people spending some on the platform. It looks as if people send in average only about one message around the lunch brake. Also now we feature data on platform used and language. Here the software of choice is the twitterfeed, followed by the twitter for iPhone app and the web. The twitter for Androids app only features at the very end of the top ten. It seems that Zuerich is a mac dominated market, at least for location based tweeting.

The international context is also supported by the fact that the English leads the table of the top ten used languages. German is only on second place. The top ten list also features Indonesian, Spanish, Dutch and French as group of languages used in the Zuerich area.

Zuerich_export-04
Image by urbanTick for NCL / The rose shows the twitter activity over the tweet activity per hour of the day, starting at 00:00 at the top. Here we are showing Zuerich local time. Hence the characteristic dip between three and five o’clock in the morning. Zuerich is a typical midday city with more activity around lunch time. The graphs show the platform of prefernce used to send the tweet and the language set respectively.

The data set is also animated in the aNCL series, coded by Anders Johansson and shows the whole set superimposed over the period of a twenty four hour period. The connecting lines indicate the dissemination of information between the individual users of the data set. Is a message retweeted by a fellow twitterer the visualisation draws a line with a traveling dot between the two location, starting at the initial senders position moving towards the position of retweeting by another twitter user.

Zuerich is in this context not very active at least it is not reflected in this data set. The previously animated San Francisco aNCL showed a lot more activity in this respect.

This animation is developed in collaboratively Anders Johansson and urbanTick. The data was collected using our CASA Tweet-O-Meter tool, coded by Steven Gray, in association with DigitalUrban.

There is more to come. We will be working our way through the NCL data collection of over 70 cities from around the world. Within the next week will be posting the next city to continue this aNCL (animated New City Landscape) series.

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Seoul is the capital and largest city of South Korea. A megacity with a population of over 10 million, it is one of the largest cities in the world. Seoul proper is noted for its population density, which is almost twice as concentrated as New York and eight times greater than Rome, though slightly less than that of Paris. The use of technology in everyday live is very integrated, even more so than in western cities that only are discovering the connectedness. In this sense the number of tweets being sent from Seoul is very high, with a high percentage of location based tweets.

The Seoul New City Landscape (NCL) map is generated purely from geolocated tweets, sent over the period of one week using the devices GPS information. This is virtual landscape generated from tweet density sent from within a 30 km radius of the Seoul region. NCL is an ongoing project and we have covered cities worldwide. An overview can be found HERE.

Seoul New City Landscape
Image by urbanTick for NCL / Seoul 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 Seoul.

In terms of the morphology, the Seoul NCL is a type with more than one centre. There are two main centres with additional smaller centres of high activity. Even though it is not visible, the river dividing the two main centres can be imagined from the landscape. The smaller centres dotted around belong to ‘new towns’ built around 1980 with predominately residential usage.

The main area to the West is the ‘old centre’ of Seoul with the formal institutions, the palace and the main tourist destinations. There is also business, mainly baking and shopping. The main area to the East is the ‘new centre’ with a sort of London Soho touch. This includes again shopping and business.

Regarding the airport, wich is usually a very active spot on the NCL maps, in Soul the International airport is outside the covered area, but the old Seoul airport for domestic flights is on there to the West of the centre. However, it is not very active and only shows as a small hill.

Seoul New City Landscape

Image by urbanTick using the GMap Image Cutter / Seoul 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. Thanks for the help with the labeling to Sung-Hyun Jang from AR+GIS.

The temporal usage of twitter in Seoul is indeed different from the European and American cities. There is on the week day rose a clear preference for mid week activity. The weekend is not very active also Monday is very slow. On the 24 hours scale Seoul shows the typical dip in the early morning hours around 3-4 o’clock, but other than that it does not relate to the kidney shape of western cities. It has some four peaks, one in the morning one over midday, one in the evening and one around midnight. It look as if people in Seoul would tweet more or less four times a day. Overall it is one of the cities more active in the second part of the day with a very late night.

Seoul_timeRoses-06
Image by urbanTick for NCL / The lefthand rose shows the twitter activity over the days of the week, starting with Sunday at the top, going clockwise. The rose on the right shows the tweet activity per hour of the day, starting at 00:00 at the top. Here we are showing local time in Seoul. Hence the characteristic dip between three and five o’clock in the morning. Seoul is a typical evening city with more activity n the late hours of the day. For more details on the time comparision with other NCL urban areas please see the presentation post ‘Twitter Data – Seeking Spatial Patter’

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Following the SFO aNCL, an update to the earlier San Francisco map was needed. The slight redesign of the map islands with changed key and added graphs of temporal elements. The exclusive islandification of the area is enforce with a new frame. This provides more visual stability, allowing for stronger vertical orientation.

San Francisco New City Landscape

Regarding the temporal elements, San Francisco is an evening city. The lefthand rose shows the twitter activity over the days of the week, starting with Sunday at the top, going clockwise. The rose on the right shows the tweet activity per hour of the day, starting at 00:00 at the top. Here we are showing local time in San Francisco. Hence the characteristic dip between three and five o’clock in the morning. San Francisco is a typical evening city with more activity in the late hours of the day. There is a lot more activity in the later hours of the day than there is in the mornings. Comparing to Bogotá for example, a morning city, SFO has this lag with a first peak around noon and then high activity between 20h00 and 23h00. After that it drops off quite quickly, being considerably lower around midnight reaching the base around 3 am.

sanFrancisco_timeRose

San Francisco New City Landscape

Image by urbanTick using the GMap Image Cutter / San Francisco 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.

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San Francisco is busy tweeting and this new animation of location based tweets in the Bay Area show actually how busy it is. Geo located tweets are shown as yellow circles that fade away by time, and re-tweets are shown as small yellow points moving onto a line connecting the location of the original tweet and the geo location of the re-tweeter.

The data used is the same as for the San Francisco New City Landscape (NCL) map. Where a virtual landscape was generated from the tweets. More details HERE. This new animated version shows in detail how the different centres ebb and flow as time passes. There are distinct characteristics between the location over times of the day. Basically the Bay bridge keeps it all together.

Interestingly the RT’s are a very specific day thing. During the night this information channel is not ver active and people seem to be busy tweeting their own stuff. In a sense this could be hinting at a more formal and business use of the RT function.

This animation is developed in collaboratively Anders Johansson and urbanTick. The data was collected using our CASA Tweet-O-Meter tool, coded by Steven Gray, in association with DigitalUrban.

There is more to come. We will be working our way through the NCL data collection of over 70 cities from around the world. Within the next week will be posting the next city to continue this aNCL (animated New City Landscape) series.

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The Columbian capital is quite an active spot with tweeters. In general the twitter platform is very popular in South America and Bogota is no exemption. However it is in terms of overall numbers behind fanatic tweeters such as Sao Paulo and Rio, but in Bogota we still have quite a good number of location based tweets. There are about 18% of the tweets geolocated providing a good base for the Bogota New City Landscape Map (NCL).

The NCL map is generated as a virtual landscape from geolocated tweets sent from within a 30 km radius of the Bogota area over the period of one week. NCL is an ongoing project and we have covered earlier that can be found through HERE.

The striking thing is the extreme cluster tendency in this version of the map. The twitter activity is simply and only concentrated in the business area of the capital along Carrera 7. No wonder this is where things are happening with a lineup of business, shopping and nightlife, where else would you go. This must also be where the money is, since the sample does require the users to use one of the more recent mobile gadgets. Hence the large void to the south and west, where lesser people are using the service. The third large void is defined by the large mountain ridge Cerros Orientales. The landscape feature her as a cut, both on the virtual scape and in the real world.

Bogota_export-040rgb
Image by urbanTick for NCL / Bogotá 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 Bogotá.

In terms of the morphology, even though Bogota NCL features a singular hotspot like the lot of London, Paris, Barcelona it fits more with the feature structure of New York or San Francisco. Especially in term sof how it relate to the physical structure of the city fitting in along this mountain ridge, witch is sort of 1 to 1 reflected in the virtual twitter landscape.

The detailed overview of NCL cities from around the world can be found on the NCL World View, with links to the individual interactive versions.

Bogotá New City Landscape

Image by urbanTick using the GMap Image Cutter / Bogotá 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. Thanks for the help with the labeling to Luis Suarez from EstudioArQ.

Bogota_timeRoses-06
Image by urbanTick for NCL / The lefthand rose shows the twitter activity over the days of the week, starting with Sunday at the top, going clockwise. The rose on the right shows the tweet activity per hour of the day, starting at 00:00 at the top. Here we are showing local time in Bogota. Hence the characteristic dip between three and five o’clock in the morning. Bogota is a typical morning city with more activity n the morning hours of the day. For more details on the time comparision with other NCL urban areas please see the presentation post ‘Twitter Data – Seeking Spatial Patter’

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I will be contributing to the CASA seminar tonight, given by Robin Morphet, Steven Gray and myself. It will be an update on the NCL – New City Landscape data collected from twitter. The collection of monitored urban areas around the world has now grown to over 60 location.

The update focuses on three elements, data pool, temporal activities of cities overal, and networks within the cities. There are also some additional aspects, for examples a view of the first three weeks of the revolution in Egypt as documented earlier focusing on Cairo.

NCL-Cairo_z03_110301
Image by urbanTick / Tweet activity in Cairo around the Tahrir Square in the centre of the city and at the heart of the revolution. This is using Cartographic for the mapping of the data with a bing map in the background.

The temporal aspects show variations between the different cities. As a mode of classification a sample of nine cities have been ordered from evening to morning. 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.

tw_TimeComparison_110301-04
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.

tw_TimeComparison_week-05_m
Image by urbanTick for NCL / timeRose diagram of the weekdays – showing twitter activity in percentage of total tweets sent by day of the week. Covers the cities Cairo, Bogota, Mexico City, Manila, Atlanta ,Boston Los Angeles, Istanbul, Dubai.

As a preview below you find the slides for the talk tonight. Some of the stuff has featured earlier on the blog. So you will ind some background there. You might try the tweetography tag or the twitter tag to dig down. It might involve a bit of scrolling to get to the earlier posts. Anyway if you have time come along tonight for the live update.

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The NCL raw data collection has been running continuously over the past few weeks and data has been collected for cities around the world. It seems time to update the world map from is previous version. So far we have covered 67 cities. However they are not all mapped yet. This will take a bit more time, but we are working on it.

In fact, so far we have in order of appearance:
New York, London, Munich, Paris, Moscow, Sydney, San Francisco, Barcelona, Denver, Hong Kong, Beijing and Chongqing. Further more the urban areas that need processing are: City
Abu Dhabi, Amsterdam, Athens, Atlanta, Bangalore, Basel, Berlin, Bogota, Boston, Cairo, Cape Town, Chicago, Doha, Dubai, Dublin, Glasgow, Guongzhou, Istanbul, Jakarta, Johannesburg, Lima, Liverpool, Los Angeles, Madrid, Manchester, Manila, Mexico City, Mumbai, New Delhi, Oslo, Rio de Janeiro, Rome, Sana’a, Santiago, Sao Paulo, Sfax, Shanghai, Sofia, Stockholm, Taipe, Tehran, Tokyo, Toronto, Tripoli, Tunis, Vancouver, Zagreb.

The NCL maps show a virtual landscape generated from geo located tweets sent from within a 30 km radius of the urban centre.

For now there is an updated world map of NCL world map with links to the individual locations. A link is provided to click through to the interactive and zoomable version of the individual urban area map. This will allow to explore the city of interest in more detail. It does now including the covered area. If you zoom in to a location the 30 km radius is plotted as an overlay.


For a large scale map click HERE. 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.

There are, as pointed out in earlier posts great variations between the cities activities on twitter. Also the number of geolocated tweets vary dramatically. So far Amsterdam is clearly leading the table with over 50% geolocated tweets. Compared the most active cities London and New York both on average send about 10% geolocated tweets.

NCLworldMapStats_110223
Image by urbanTick for NCL / Urban Areas with total number of tweets (purple) and total no of geolocated tweets (yellow)> This gives an idea of the relationship between tweets and geolocated tweets in different areas of the world.

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I will be giving a lecture today at the Bartlett School of Architecture to the MA Urban Design course students. The course is directed by Professor Colin Fournier.
My talk will focus on the spatial dimension of narratives and time in everyday urban live. The different topics discussed are Repetition, with an introduction to the machine city and different types of cycles to create an identity of the place, Time as a framework of organisation, Space as a result of body physicality and experience, Pattern as a combination of time and space and a conception of place as mental maps to Morphology as the physical result of the narrative created.
As illustration material serves the data collected via the twitter microblogging site, the New City Landscape maps, as well as urbanDiary GPS tracking data.

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Following the previous post on location based tweets in Cairo during the government imposed internet black out some new Twitter data is now showing that there was a clear reduction in tweets.
The forced black out halted most internet activity during the last week of January and the first days of February. Finally on Feruary 2nd between 09h30 and 10h00 Egypt was reconnected acording to data colected by Renesys.

24 hours after the switch was turned back on the data shows an immediate raise of geolocated tweets. The activity came back up from a down of around 50 tweets per hour to 230 per hour.

testGraphCairo_110203
Graph by urbanTick / Tweets collected using the TOM tool written by Steven Gray. The tool collects geolocated tweets originating within a 30km radius around the centre of Cairo. The graph shows number of tweets sent per hour.

This graph now shows a lo better what was going on. With the surge where tweets kick back in, the reductions is put into context and maks sense. However why there is still relatively many tweets during the black out is more difficult to explain. It is assumed that low quality channels were available but with very long delays putting more and more people of, hence the slow reduction.

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The news that Egypt has gone of the internet last Thursday night, stunned the internet community. The news swooshed around quickly and questions were asked. How is this possible, is there a switch?

Over the past years we have learned to appreciate the net as a distributed network of hubs and servers with its own rules. Those being that the internet is not centrally managed and therefore very difficult to govern, even navigate. However, the net of nets is still connected via physical routers, as Andrew Blum in post over at the Atlantic points out.

The move by the Egyptian government was intended to help regain controle over the masses of people who protested for change on the streets of the major cities. The government seemed to believe that the internet and especially social media platforms such as Facebook a and Twitter are increasingly playing a role in the organisation of protests. Cutting Egypt off the web would leave the protesters unable to organise themselves.

Shortly after midnight, about 22h00 UTS, the Egyptian internet providers were asked to take down their routers. One after the other, over a timespan of about 20 minutes, went offline. As a result international IP addresses were unavailable from Egypt.

testGraphCairo_110202
Image taken from renesys.com / The following plot shows the number of available networks for each of the significant providers, between 22:00 and 23:00 UTC last night (midnight to 1am Cairo time). Our new observation is that this was not an instantaneous event on the front end; each service provider approached the task of shutting down its part of the Egyptian Internet separately.
Telecom Egypt (AS8452), the national incumbent, starts the process at 22:12:43. Raya joins in a minute later, at 22:13:26. Link Egypt (AS24863) begins taking themselves down 4 minutes later, at 22:17:10.
Etisalat Misr (AS32992) goes two minutes later, at 22:19:02. Internet Egypt (AS5536) goes six minutes later, at 22:25:10.

The New York Times called it “Egypt, to an unprecedented extent, pulled itself off the grid.” and Jim Cowie, chief technology officer of Renesys said “In a fundamental sense, it’s as if you rewrote the map and they are no longer a country.”

The controle of internet content as well as accessibility is not new. Countries around the globe have developed different methods to do this. The most prominent examples are China or Iran, where twitter in 2009 played an important role in organising the political protests as well as distributing information after a disputed election. Earlier urbanTick coverage on mashups HERE.

As part of the New City Landscape (NCL) project we are collecting location based tweets in urban areas. For the last week we also recorded twitter activity in Cairo. And surprisingly twitter activity does not reflect the sudden drop off of international internet connection from Egypt. There is no dramatic reduction of tweets, however there is a continuous reduction of tweets reflected in the data. Over the past five days the location based twitter activity in Cairo has gone from about 250 to 300 messages per hour on Tuesday 27th and Friday 28th down to spikes of 50 on Monday the first of February.

testGraphCairo_110202
Graph by urbanTick / Tweets collected using the TOM tool written by Steven Gray. The tool collects geolocated tweets originating within a 30km radius around the centre of Cairo. The graph shows number of tweets sent per hour.

This is not exactly as expected. There are different possible explanations for this. One of them could be that the internet is a difficult beast to tame and a few routers down don’t mean the end of this versatile construct. Via very slow channels it must in this case still be possible to send mainly mobile tweets, even though mobile networks were also reported partially down.

Then on the first of February new information circulated the news channels. Google has put live a new service to allow people in Egypt to tweets via a phone call. After calling a speciall number, +16504194196 , +390662207294, +97316199855, a message can be left that will be posted as a tweet including the hashtag #egypt. The tweet will contain a link to the recorded message. Messages are pushed through this speakToTweet account. Somehow a very political move “We hope that this will go some way to helping people in Egypt stay connected at this very difficult time. Our thoughts are with everyone there.”

Regarding out NCL collection this would not change anything since we are only looking at actual geolocated tweets send with Lat/Lon information included.

According to Renesys, Egypt has just this morning around 09h32 UTS returned to the internet after an absence of almost a week. How this will affect the tweeting activity we will see by tomorrow. It will be interesting to see weather this brings back up the numbers to a level of around 100 tweets per hour, we will see. New data and NCL maps are under way.

testGraphCairo_110202
Image taken from renesys.com / All major Egyptian ISPs appear to have readvertised routes to their domestic customer networks in the global routing table, with the exception of Noor Group (AS20928). Recall that Noor was the exception (until Monday) to the Internet blackout, so they are as much an anomaly in restoration as they were in outage. (Update: Noor group back online with a full complement of prefixes as of 12:52pm Cairo time. Better late than never.)

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