London Twitter Network Map

Fabian Neuhaus author of Urban Tick here at the Centre for Advanced Spatial Analysis, University College London has kindly agreed to write a guest post on the London Twitter network, the zoomable version embedded below is particularly notable:

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.


Graph by urbanTick / 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.


Graph by urbanTick / 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 urbanTick 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.


Image by urbanTick using the GMap Image Cutter / London New City Landscape Click HERE for a full screen view.


Post by Fabian Neuhaus, Urban Tick.

Invisible, Hidden, Parallel Cities: Twitter Landscapes

By revealing the social networks present within the urban environment, Invisible Cities describes a new kind of city—a city of the mind. The movie below by Christian Marc Schmidt displays geocoded activity from online services such as Twitter and Flickr, both in real-time and in aggregate. Real-time activity is represented as individual nodes that appear whenever a message or image is posted. Aggregate activity is reflected in the underlying terrain: over time, the landscape warps as data is accrued, creating hills and valleys representing areas with high and low densities of data.

In the piece, nodes are connected by narrative threads, based on themes emerging from the overlaid information. These pathways create dense meta-networks of meaning, blanketing the terrain and connecting disparate areas of the city:





Invisible Cities maps information from one realm—online social networks—to another: an immersive, three dimensional space. In doing so, the piece creates a parallel experience to the physical urban environment. The interplay between the aggregate and the real-time recreates the kind of dynamics present within the physical world, where the city is both a vessel for and a product of human activity. It is ultimately a parallel city of intersections, discovery, and memory, and a medium for experiencing the physical environment anew.

Our movie below of London's Tweets displays a similar 'hidden city':




As we posted a few weeks ago, we have been harvesting geospatial data from Twitter with the aim of creating a series of new city maps based on Twitter data. Via a radius of 30km around New York, London, Paris, Munich we have collated the number of Tweets and created our New City Landscape Maps. The maps created by UrbanTick detail the social networking landscaping.

Pictured above is London, below is New York:

UrbanTick has the full run down with New York, London, Paris and Munich, all available in glorious full screen mode via a Google Maps viewer - head over to take a look at the New City Landscapes.

Thanks got to Steven Gray who did the coding and Fabian over at Urban Tick for converting the data into maps. Also thanks to Dr Chris Speed who sent in the invisible cities movie link.