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flowingdata.com/2008/03/12/17-ways-to-visualize-the-twitt...
and
www.visualcomplexity.com/vc/project_details.cfm?id=594&am...
A way to visualize the Twitter universe. More visualizations on this website.
Akshay Java, from ebiquity group, used the Large Graph Layout (LGL) tool to visualize a large social network on Twitter. The top graph shown here was built using contacts from about 25,000 users. Notice that there is a link connecting two users if either one has the other as a friend and hence it is an undirected graph (of about 250,000 edges). Compare this to the bottom graph that is constructed using only users who are mutually acquainted. i.e. A knows B and also B knows A. As Akshay reveals in his post: "I find that visualizing such large graphs is quite a challenge and to glean meaningful information from it is even more difficult". However, he goes further in explaining that some insights can still be gained from this project. Akshay points out that a number of users seem to be trying to win a popularity contest of some sort, while a number of bloggers and (perhaps fake) celebrity profiles have a huge fan following in Twitter. He also mentions how the two graphs look very different on account of the fact that users with public profiles get a lot of followers whom they might not really know and would hence never add them as an acquaintance. But to really understand what the differences are one would need to look at the community structure and properties of the two graphs. ebiquity group has also explored the Twitter API in other projects [1] [2] in order to get a better understanding of the microblogging trend.
from upper-left to bottom right:
start in Safeway parking lot. Slower uphill, then downhill. Slow to make a turn. Slow to pass through intersection, and stop at stop light. Quickly downhill, then slow slightly to move up the bike trail, then stop at Frontseat offices.
created by this applet: www.aharef.info/static/htmlgraph/
what the colors mean:
blue: for links (the A tag)
red: for tables (TABLE, TR and TD tags)
green: for the DIV tag
violet: for images (the IMG tag)
yellow: for forms (FORM, INPUT, TEXTAREA, SELECT and OPTION tags)
orange: for linebreaks and blockquotes (BR, P, and BLOCKQUOTE tags)
black: the HTML tag, the root node
gray: all other tags
energy monitoring lamp; if you are using energy efficiently in your home, it fans out, gives more light and is far more attractive. It shrinks if you overuse your appliances and electronic devices.
Varumärke www.ignitionwear.com - vad vi står för;
ignitionwear.wordpress.com/brand-tag-cloud-what-we-stand-...
This is a visualization of the HTML tags that make up my site bitdepth.org.
Key to the coloured dots:
blue: for links (the A tag)
red: for tables (TABLE, TR and TD tags)
green: for the DIV tag
violet: for images (the IMG tag)
yellow: for forms (FORM, INPUT, TEXTAREA, SELECT and OPTION tags)
orange: for linebreaks and blockquotes (BR, P, and BLOCKQUOTE tags)
black: the HTML tag, the root node
gray: all other tags
It was created with the nifty bit of code that lets you view websites as graphs made by Sala.
iSGTW story | Photo courtesy of Argonne National Laboratory.
Scientists Folker Meyer and Elizabeth Glass analyze species and metabolic diversity from soil samples using MG-RAST (Metagenome Rapid Annotation using Subsystem Technology) on an active mural display.
I used Perl and the GraphViz::Data::Grapher from CPAN to make some graphics out of the data structure that XML::Simple makes out of the RSS feeds from my website. I will post the code and a writeup elsewhere.
Revolve's photo exhibition launch at the Halles Saint Gery in downtown Brussels on July 1, 2014. In the presence of the City of Brussels, the Brussels Environment Agency (IBGE) and REScoop.
Julia Kaganskiy (@juliaxgulia) organizes Arts, Culture and Technology meetups in NYC. This event on 27th April 2010 was on Data Mining & Visualization: www.meetup.com/Arts-Culture-and-Technology/calendar/13144...
Julia Kaganskiy (@juliaxgulia) organizes Arts, Culture and Technology meetups in NYC. This event on 27th April 2010 was on Data Mining & Visualization: www.meetup.com/Arts-Culture-and-Technology/calendar/13144...