Tampilkan postingan dengan label tweetography. Tampilkan semua postingan
Tampilkan postingan dengan label tweetography. Tampilkan semua postingan

Minggu, 08 Mei 2011

NCL Bern - Centres

The Capital of Switzerland is with a population of 131,000, the fourth most populous city in Switzerland. The wider area covered by the standard NCL 30km radius here is covering quite a lot of other centres, from Solothurn to Thun and from Murten to Langnau. As a sort of central landscape feature to it features the river Aare, exiting the Lake Thun, featuring in Bern, Lake Bienne and Solothurn.

New City Landscape Bern
Map by single-blogs for NCL / Basel 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 Basel.

The activity peak in Bern is at the Bollwerk a part of the old fortification of the city. It is just next to the central train station. With its central location a very good transport connections, it is popular with offices and commercial uses. Another peak is in Buemplitz to the West of Bern. This is very much the suburbs of Bern, but very pretty suburbs with a touch of country life.

Bern New City Landscape

Image by single-blogs using the GMap Image Cutter / Bern 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.

Bern is very much an after work, evening twitter user city. There is very little activity during the morning or even midday. Things only start happening later on. In terms of languages use, German is leading the tabel just before Indonesian and English. The other languages trail far behind the top three. Just about into the top ten slipped Esperanto as the user language.

Bern_timeRose
Image by single-blogs 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 Bern local time. Hence the characteristic dip between three and five o'clock in the morning. Bern is an after work evening city with more activity around the end of the work day. The graphs show the platform of preference used to send the tweet and the language set respectively.

Minggu, 01 Mei 2011

NCL Basel - Clusters

Basel, the city at the 'Rheinknie', marks the northern gateway to Switzerland. The 'Dreiländereck' (three country corner) is an important fix point in the port of Basel, where the borderlines of France, Germany and Switzerland touch. The resulting 'trinational' region with Basel as the largest hub has established its own culture and functions across borders both culturally and economically.

Basel is the largest city in this area with Mulhouse and St. Louis being the French and the German main city respectively. Basel offers a lot of work places for about 100'000 cross border commuters. A connecting feature throughout the region is the river Rhine. It marks the North-Eastern border of Switzerland coming from the 'Bodensee'. In Basel this important landscape bends North, leaving Switzerland and continues to mark the boarder between France and Germany.

Right at this bend is where the Basel hub is located and obviously the river has historically been a very important source of identity and still continues to be. A lot of activity is happening along the waterline and this is then also reflected in the twitter map. The New City Landscape to some extend reflects the river and it can be read how it trails from the East side into the city and sharply turns North exiting between the French-German 'gate' at the Northern end of the NCL map.

Basel New City Landscape
Map by single-blogs for NCL / Basel 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 Basel.

With a population of 166'173 residence it is in the international context a very small centre. Economically it is however rather important as a banking hub and is the home to very large international pharmaceutical companies such as Novartis and Roche. Nevertheless, the countryside around the city is completely missing from the NCL map. There are very little activity on twitter. The distinction between city and countryside in Switzerland is no loger very dramatic, since most of the rural landscape is urbanised to a high degree. The covered area of the NCL map must be the home to about 800'000 the twitter activity clusters on the city of Basel.

Basel New City Landscape
Image by Wladyslaw taken from Wikimedia / "Panorama Basel vom Martinsturm des Basler Münsters aus" (Panoramic view from one of the towers of the Basel Münster, with the Rhine bend and the Messeturm in the focus.

The highest point is the 'Münsterstock' probably the very most central location of the city, a hill overlooking the river Rhine right at the bend with the Basle Münster, a very attractive Church. From this central location the twitter activity trails out along the main infrastructure axis, Rhine, public transport along tram no 10, no 11 and no 6 as well as along the Motorway A2 and A3.

Basel New City Landscape

Image by single-blogs using the GMap Image Cutter / Basel 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.

In terms of time of day twitter is active, Basel has strong morning and evening peaks. Also lunch is a time for tweetig as most people leave the work place for a lunch brake. The evening peak is very consistent between eight and ten, but then drops of rather quickly and stays very ow until it picks up the next morning around seven, the start of the next working day.

The language top three is Germa, English and French. Where English dominated the top ten in Zuerich, has Basel, with its proximity to Germany a very different position. However rank two reflects the importance of the international ties.

Basel NCL timeRose
Image by single-blogs 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 Basel local time. Hence the characteristic dip between three and five o'clock in the morning. Basel is a morning and afternoon city with more activity around start and end of the work day. The graphs show the platform of preference used to send the tweet and the language set respectively.

Jumat, 15 April 2011

NCL Zuerich - Activity Islands

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 single-blogs 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 single-blogs 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 single-blogs 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 single-blogs. 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.

Senin, 11 April 2011

New City Landscape - Seoul

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 single-blogs 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 single-blogs 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 single-blogs 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'

Kamis, 07 April 2011

NCL San Francisco - Update

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 single-blogs 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.

Rabu, 06 April 2011

San Francisco is Busy - aNCL Series

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 single-blogs. 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.

Kamis, 31 Maret 2011

NCL Bogotá - the Cut

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 single-blogs 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 single-blogs 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 single-blogs 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'

Rabu, 02 Maret 2011

Twitter Data - Seeking Spatial Pattern

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 single-blogs / 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 single-blogs 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 single-blogs 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.

Rabu, 23 Februari 2011

NCL World View - Update

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 single-blogs 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.

Senin, 21 Februari 2011

Urban Memories - Narrative and Time

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.

Kamis, 03 Februari 2011

Egypt is Back on the Net and Twitter Activity Surges

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 single-blogs / 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.

Rabu, 02 Februari 2011

Egypt's Internet Blockage - Tweets

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 single-blogs 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 single-blogs / 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.)

Selasa, 21 Desember 2010

London NCL Social Network Graph - interactive

Following up from the New City Landscape maps, where we mapped tweet densities in urban areas around the world, we have now started to look into the socia network aspects of this data set. As a complementary graph to the map the network illustrates how the twitter users are connected through their activities and usage of the platform.

LND-NCL_NWgraph_s
Graph by single-blogs / The London NCL Social Network graph of twitter users. The dataset is defined as geolocated tweets collected over the period of one week in the urban area of London set to a 30 km radius. Click on the image for a larger version on flickr or see the interactive zoomable version HERE.

The network is built from nodes and edges, were the nodes are the twitter users active during the time period of message collection back in May 2010. The edges visualise the connections between these users. From the messages sent connections are established based on activity and interaction. In reality these are the @ messages that are directed at one or more particular user. The second indicator of a connection are the RT messages, the message that have been retweeted by followers of the creator of the initial message.

LND-NCL_NWgraph-04
Graph by single-blogs / Zoom of the London NCL Social Network graph of twitter users. The dataset is defined as geolocated tweets collected over the period of one week in the urban area of London set to a 30 km radius. Click for a larger version on flickr.

Using these two methods the network graph is established as a directed network, meaning that the connection between the nodes has a direction since a message originates from a sender being delivered to a receiver.

The resulting network is built from a total of 17618 nodes and 26445 edges. In the case of this London twitter network not everyone is connected to everyone and about 5400 subnetworks were identified. Furthermore via the colouring the modularity of the network is visualised. Each subgroups has a unique colour shading indicating groups with tighter connections.

London NCL Social Network

Graph by single-blogs using the GMap Image Cutter / London NCL Socia Network - Use the Google Maps style zoom function in the top left corner to zoom into the map and explore it in detail. Click HERE for a full screen view.

The sizing of the nodes is derived from the number of connections this particular node has for both incoming and outgoing edges.

For the comparison of the networks we are currently working on graphing out the whole range of NCL across the world in order to establish a analysis parameter set. We'll keep you posted about the progress here.

To compare it, the geolocated London New City Landscape map. It is important to keep in mind that the graphs are not spatially representative as compared to the NCL maps which are properly geolocated.

london_contourColour_2
Image by single-blogs using the GMap Image Cutter / London New City Landscape Click HERE for a full screen view.

Senin, 20 Desember 2010

NCL Social Networks

The New City Landscape maps NCL based on twitter messages sent in urban areas represent only one aspect of the data that was collected. For the maps we were focusing on the location at the moment of sending the message.

Now we are looking into the social network of the same data set and visualise how users communicate and how they are interconnected. Using the @'s and RT's in te messages a network was constructed establishing links between users that send directed tweets or retweet someone else's message.

Very quickly these social networks become extremely complicated and computational intensive. The old MacBook here is struggling with the larger networks of London and New York, were there are 20000 or 40000 nodes respectively to be calculated.

However the smaller networks of Paris and Munich draw very nicely in Gephi, the open source graph visualisation software used to render the following images.

The data we are using here was collected over the period of one week and the selection criteria is the geo location. It is a 30km radius around an urban area. This forms the starting point of the network with all the users within this set as seed nodes. Who ever they were in touch with is then added as a secondary node drawing the edges between these nodes.

Munich NCL social network with one very big player standing out, ProSieben. This is one of the big German TV channels.

MUH_ncl_100505_test02_graph
Image by single-blogs / Social network of Munich twitter users corresponding to the Munich New City Landscape map.
The network is derived from @ and RT twitter messages.
This draws to 772 nodes and 1193 edges.


See the corresponding NCL map HERE.

Paris NCL social network
NCL-PRS_graph02
Image by single-blogs / Social network of Paris twitter users corresponding to the Paris New City Landscape map.
The network is derived from @ and RT twitter messages.
This draws to 4959 nodes and 7390 edges.


And a zoom into the Paris twitterNetwork map (bottom right), showing how the main nodes are linking down to smaller one of nodes.

NCL-PRS_graph03
Image by single-blogs / Zoom of social network of Paris twitter users corresponding to the Paris New City Landscape map.
The network is derived from @ and RT twitter messages.
This draws to 4959 nodes and 7390 edges.


See the corresponding NCL map HERE.

The NCL maps cover a lot more cities, see the world map HERE. As these are processed we'll be showing them here on the bog so stay tuned, some exciting network graphs will come up.

Kamis, 11 November 2010

New City Landscape - the World View

The collection of NCL maps of Urban Areas is growing fast and it is getting difficult to keep track of all the cities we have covered so far. The NCL maps show a virtual landscape generated from geo located tweets sent from within a 30 km radius of the urban centre. 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: Shanghai
New Delhi, Chicago, Vancouver, Rio de Janeiro, Tehran, Tokyo, Jakarta, Sao Paulo, Toronto, Oslo, Basel, Rome, Guongzhou, Mumbai, Bangalore.

To provide a better overview here is a 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.


For a large scale map click HERE.

The data collected from the different cities varies quite a lot and especially the number of geo located tweets is a sort of tricky parameter. It does not correlate with the number of messages sent. The dependencies are more complicated and link probably more to the living standards and income. For example urban areas such as Jakarta and Sao Paolo have high numbers of twitter messages sent, but very few lat/lng referenced messages. This is more to be related to the coverage of smart phones and data charges, where people tend to use the twitter service over a broadband internet connection for free.

However, it is interesting to note that the number of geo located messages sent per unique user tend to be around 10 over the period of one week. Some areas go up to 15 or down to 8, but it is fairly constant across the board.

NCL_stats_bubles_log_101111
Image by single-blogs for NCL / The graph is showing the urban areas covered so far in the New City Landscape project, were we generate an activity landscape of an urban area using twitter data. The comparison shows vertical: percentage of geo referenced tweets, horizontal: average geo tweet sent per user, size: number of unique user, lable: urban area code.

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.

Rabu, 10 November 2010

New City Landscape - Barcelona

Barcelona is in terms of twitter activity one of the cities that has a strong central core of high activity. Very similar to for example the London NCL or the Paris NCL maps.
The highest point is just over the Placa de Catalonia with a steep slope down la Rambla to the Roca Columbus. Other places of high activity are around the parliament, here the 'Monte di Parliament Catalonia' and around the Olympic centre on Montjuic.
The overall structures are also visible on the twitter map. The boundary of the sea on the souther side of the urban area and the hills and valleys in the northern part for example. Especially the vallies and how they flow into the centre of the city are reflected in the NCL map with fingers going out along these lines.

Barcelona New City Landscape

Image by single-blogs using the GMap Image Cutter / Barcelona 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 Barcelona map was generated from just over 24'000 lat/long geo located tweets collected the week ending 100715. Those came out of a sample of over 250'000 'Barcelona' twitter messages. Thanks to Joan Serras for the help with the labeling.

Barcelona_export

Selasa, 02 November 2010

New City Landscape - Denver

Denver is with a population of some 600'000 only the 24th biggest city in the US. However, the New City Landscape map generated from one week of tweets send within a 30km radius around the city centre draws out the features really nicely. There is varying activity across the focus area with a main peak over Downtown Denver. Some additional features like the airport draw out nicely.
As usual the green areas and parks are generally empty of tweets. There is however one example in Denver where people have tweeted quit a bit, the denver Standley Lake Peak was a sort of surprise. Can be found on the map towards the top eft, just below the Rocky Mountain Airport Plains.

Denver New City Landscape

Image by single-blogs using the GMap Image Cutter / Denver 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.

I am presenting some of the twitter work today at the GSA Annual Meeting 2010 in Denver. It is a session on community remote sensing organised by Suzanne Metlay and William Gail as of GSA Geoinformatics Division; GSA Geoscience Education Division; GSA Geology and Society Division; Secure World Foundation. A presentation preview can be found below:



As usual the maps are also in the tweetography flickr set together with al the previously published maps.

Denver_export

Senin, 01 November 2010

New City Landscape in China

We are updating the the collection of New City Landscape maps and add two new world cities. The earlier maps can be found HERE, HERE and HERE. The new data comes from Hong Kong, Beijing and Chongquing. Three very different cities. This also becomes clear on the tweetogrpahy maps.
Beijing haa a large central area with a number of similar active locations and nicely articulated ridges leading from one to the other. The two main location are the E Valley Cun Peak to the south east and the Dongshengxiang Peak to the north west.

Beijing New City Landscape

Image by single-blogs using the GMap Image Cutter / Beijing 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. Thanks for the help with the labeling to Yu Zheng.

Chongqing on the other hand has a more condensed area of twitter activity with a few satellite locations. Even thought the city is actively using twitter, there are much less geo located tweets. But as usual for example the airport and also the city centre show up very distinct. The main location is the city centre are the YangJiaping Hill and the Datianwan Stadium Point.

Chongqing New City Landscape

Image by single-blogs using the GMap Image Cutter / Chongqing 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. Thanks for the help with the labeling to Qin Lang.

For those of you who don't know the city its the place where the two rivers of different colour, one being the Yangtze River, meet. A very dramatic sight and probably the main view on the city.

Chongqing_export
Image taken from absolutechinatours /

Hong Kong, the third New City Landscape in this series reflects the divers real world landscape with large water bodies surrounding the city. The hotspot here is the Historic Museum in the centre of Hong Kong, but also the new international airport clearly shows up to the west of the main centre on the artificial island. to the north of the map Shenzhen shows a lot of twitter activity, blurring the boundary.

Hong Kong New City Landscape

Image by single-blogs using the GMap Image Cutter / Hong Kong 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. Thanks for the help with the labeling to Yu Zheng.

There are also some high res images of the maps on flickr in the tweetography set. One example here of Chongqing:

Chongqing_export

Kamis, 16 September 2010

New City Landscape - San Francisco and Sydney

We are updating the the collection of New City Landscape maps and add two new world cities. The earlier maps can be found HERE and HERE. The new data comes from San Francisco and Sydney. In terms of physical Landscape they both have the Ocean as a defining element of the urban area, together with large water bodies enclosed by the urban area. In both maps these features come through in topography generated from the tweet locations.

sanFrancisco_ncl_100916
Image by single-blogs / New City Landscape also available in the flickr pool NCL


San Francisco New City Landscape



Image by single-blogs 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.

San Francisco on the other hand shows similar to New York multiple centres that grow together. Beside San Francisco, also Oakland and some other sub centres show up. A strong point is of course the airport again.

Sydney has a very strong island characteristic, with downtown showing up strong on the right hand side. The Sydney map was developed in collaboration with 'The Works Sydney'.

Sydney New City Landscape



Image by single-blogs using the GMap Image Cutter / Sydney 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 Tweet-O-Meter, in association with DigitalUrban and coded by Steven Gray, this New City Landscape represents location based twitter activity.

Earlier maps cover London, New York, Munich, Paris and Moscow.

Rabu, 01 September 2010

CRESC - Data Mining and Crowd Sourcing

I will be at the CRESC 'The Social Life od Methods' conference in Oxford today. The conference takes place at St. Huges College and covers different aspects of methods in social sciences.

I am presenting a joint 'CASA' paper focusing on data mining and crowd sourcing. The team behind it is Andy Hudson-Smith from Digital Urban, Richard Milton, Steven Gray and myself. We are focusing on the development of tools that make use of the recent wave of digital social networking tools and methods.

For the first time it is possible to gather large scale social data sets containing detailed information about activity, interests and network of thousands of individuals. This is extremely exciting and interesting for spatial analysis. The city is not just a built artefact, but a living structure continuously changing with the inhabitants shaping it. Using this data we can start to understand the immediate connection between the environment and individual a well as collective decision making and opinion.

connections_fb
Image by single-blogs / A visualisation of my over 1200 facebook connections and how they are connected, using the Gephi software.

To illustrate this I will be using three recent projects that we have developed here at CASA. It will feature the 'Mood Mapper' turned into MapTube. The brand new Survey Mapper system that allows everyone to set up a survey and get the result on a map and the New City Landscapes generated from tweets sent in an urban area.

From the abstract:

The paper describes how we are harnessing the power of Web 2.0 and related technologies to create new methods to collect, map and visualise geocoded data as an aid to further our understanding of social, spatial and temporal change in cities. The authors begin with an insight into the ‘Ask’ survey system developed as part of the National infrastructure for e-Social Simulation (NeISS) project. ‘Ask’ provides social scientists with series of online tools to collect and visualise data in near real-time allowing the creation of ‘mood maps’ linked to a backend geographic information system. We examine the systems use to date, specifically by the BBC, and the implications of allowing anyone to survey the world, continent, nation, city or indeed street via our social survey system.

The authors expand on the concept with the additional of data mining social networks such as Twitter to collect, map and analyse social related data. Developed around the populist name ‘Tweet-o-Meter’ we have developed a system to mine data within a 30 km range of urban areas, focusing on New York, London, Paris, Munich, Tokyo, Moscow, Sydney, Toronto, San Francisco, Barcelona and Oslo. The system mines all geo-located Tweets creating a vast database of social science data and numerous challenges for both visualization and analysis. The paper concludes by arguing that data mining has notable potential to aid our understanding of the complex social, spatial and temporal structures of the city environment.

Moscow_ncl_100814
Image by single-blogs / Moscow New City Landscape, explore areas you know close up and find new locations you have never heard of. Click HERE for a full screen view.