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Your head will collapse if there's nothing in it
And you'll ask yourself
Where is my mind?
("Where is my mind" - Pixies)
Visualization of 4 hour dataset of air quality, pressure, temperature, humidity, sound levels, and light levels taken at an apartment complex near the train tracks. Data collected by Pam Griffith.
My friend and fellow photographer Mark visualizing the perfect shot from the boat...his favorite place to shoot from!
Taking complex amounts of information and breaking it down in a clear concise way is an art form of information design. It's rare to see it done well, thankfully there is this book to see some of the best examples. VIA: threeminds.organic.com/2009/03/mmm_data.html www.amazon.com/Data-Flow-Visualising-Information-Graphic/...
The Village Visualizer is a social network visualization tool that I developed for Computer Clubhouse's online community called the Village. The goal of the Village Visualizer is to encourage members to understand their social space and to find others who have common interests, communicate about projects, collaborate, and find resources. Through such connections, members may come to understand how they contribute, or can contribute, to the Clubhouse community and be empowered to impact other communities that they are part of.
The Village Visualizer shows an individual user the other Villagers who have similar interests and projects. The system compares the user to each person in the social network based on criteria generated from past projects and activity on the site.
The user probably recognizes some of the people around him but not everyone.To avoid making Clubhouse youth feel less popular, this visualization does not display specific connections; instead it displays other users in concentric circles around the current user.
When a user right-clicks on people’s faces or projects, their profile or project is opened in the Village web site. From there, he can explore the person’s profiles and projects on the site. When he selects a person’s thumbnail in the main window, the User panel displays detailed information including interests, Clubhouse country, projects and other details about that person. If he wants to find people beyond what the visualization recommends, he can do so in the Search Panel and add them to his ego network diagram.
This project was programmed by Han Xu.
Upper DeWeese Pond with Autumn leaves from Karen and a just picked walnut in the walnut grove from Judi
As you can tell, this is a very very rough draft, but this is a compilation of time I've spent on work in the past month, including blogging topics, and communication activity with those i work with. Let me know if you have any suggestions!
Source: www.facebook.com/notes/facebook-engineering/visualizing-f...
Visualizing data is like photography. Instead of starting with a blank canvas, you manipulate the lens used to present the data from a certain angle.
When the data is the social graph of 500 million people, there are a lot of lenses through which you can view it. One that piqued my curiosity was the locality of friendship. I was interested in seeing how geography and political borders affected where people lived relative to their friends. I wanted a visualization that would show which cities had a lot of friendships between them.
Read more: www.facebook.com/notes/facebook-engineering/visualizing-f...
Mi proyecto fin de carrera es sobre inteligencia colectiva, concretamente un motor de recomendación social para una comunidad online, todo en Ruby y Rails por supuesto :D Ya tengo bastantes datos con los que jugar y hacer algunas visualizaciones, asà que aqui va una de las primeros intentos de visualizar las semejanzas entre usuarios con Pajek!