How stories are spread on Facebook with biological behaviours:
This is a series of videos that visualizes a single piece of content being shared between hundreds of thousands of individuals on Facebook.
We’ve tried to capture the frenetic energy surrounding three of the most shared images, all of which were photos published on George Takei’s Page.
Each visualization is made up of a series of branches starting from a single person.
As the branch grows, re-shares split off on their own arcs, sometimes spawning a new generation of re-shares, sometimes exploding in a short-lived burst of activity. The two different colors show gender, and each successive generation becomes more and more white as time goes by.
The data used for these visualizations spans a three-month period from July to September and is composed of shares originating from news feed.
(Fuente: vimeo.com)
Routing 30,000 randomly-chosen trips through the paths suggested by 10,000 randomly-chosen geotags. These are perhaps the most interesting routes between the endpoints of the trips, even if not necessarily the most likely.
Data from the Twitter streaming API, August, 2011. Base map from OpenStreetMap, CC-BY-SA.
Paths through Madrid (por Eric Fischer)
Routing 30,000 randomly-chosen trips through the paths suggested by 10,000 randomly-chosen geotags. These are perhaps the most interesting routes between the endpoints of the trips, even if not necessarily the most likely.
Data from the Twitter streaming API, August, 2011. Base map from OpenStreetMap, CC-BY-SA.
Paths through Barcelona (por Eric Fischer)
The Senseable City Lab has partnered with the SNCF division for research and innovation to investigate new ways of gaining insight into how people access different parts of France using the country’s high speed railway system. Today’s transportation networks are densely packed with sensors and digital systems to facilitate routine operations. The two visual applications below combine several data sets generated by these systems to provide new perspectives on how France moves on rail.
Trains in time ////////////////////////
Trains, at times, do run late. While a rail network operator is interested in reducing overall delay as such, an especially critical aspect relates to the number of passengers directly affected by such delays and their location.
In this visualization we combine data on the time trains run behind schedule with the actual number of passengers on any train at any moment. This information is represented at the actual location of a train on SNCF’s high speed rail network. With this, a rail operator can quickly understand where many passengers are affected by train delays and use this information to take appropriate action, ultimately limiting delay per passenger and increasing overall passenger satisfaction.
Team //////////////////////
Kristian Kloeckl, project leader
Xiaoji Chen
Christian Sommer
Carlo Ratti, director
Assaf Biderman, associate director a project by MIT Senseable City Lab in collaboration with SNCF
Trains of Data | Trains in Time (por senseablecitylab)
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Volumen de búsquedas en todo el mundo visualizado en el globo terráqueo WebGL.
Water on Earth
(via Esta es toda el agua que hay en el planeta - Gizmodo ES - The gadgets weblog)
2/10/2012 — MUST SEE ! 2011 earthquakes WORLDWIDE plotted and animated (with sound intensity) ! (by dutchsinse)
