WEBOLUTION!
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WEBOLUTION!
1960 to 2030, connected to internet!
Curated by Jimi Paradise
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Infographic: Hackers Create An Amazing, Illegal Portrait Of The Internet

Infographic: Hackers Create An Amazing, Illegal Portrait Of The Internet | WEBOLUTION! | Scoop.it

It wasn’t malicious. The file itself was the size of a small JPEG. It was given the absolute lowest priority. And it was set to self-destruct if anything went wrong. But this small file allowed one single hacker to measure the Internet activity of nearly half a million connected devices around the world, then share the results with everyone.

How was this even possible? The "hacker" barely hacked anything. In reality, they gained access to all these systems because each had the default "root" set as a password. With this access in hand, they ran several tests focusing on Internet structure and activity. And what they created from all this data is a spectacular map that captures a day in the life of the Internet (and all of its users).


Via Lauren Moss
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Sakis Koukouvis's comment, May 11, 2013 3:17 AM
Wonderful
Nacho Vega's curator insight, May 11, 2013 12:18 PM

Creative power: hacking at the end of the world!

 

Using "root" as universal key :))

Kristin Newton's curator insight, May 11, 2013 10:10 PM

The Internet is connecting us day by day in amazing ways.

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Interactive Earth at Night

Interactive Earth at Night | WEBOLUTION! | Scoop.it

Via Seth Dixon
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Giovanni Della Peruta's curator insight, January 14, 2013 11:54 AM

Thanks to Nic Hardisty

Giovanni Della Peruta's comment, January 14, 2013 12:02 PM
Very good comment, Seth
سعيد محمد's comment, January 15, 2013 11:03 AM
ok
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Infographic: An Amazing, Invisible Truth About Wikipedia

Infographic: An Amazing, Invisible Truth About Wikipedia | WEBOLUTION! | Scoop.it

Every Wikipedia entry has an optional feature we take for granted--geotagging. An entry on the Lincoln Memorial will be linked to its specific latitude and longitude in Washington D.C. On any individual post, this may or may not be a useful thing. But what about looking at these locations en masse?

That was a question asked by data viz specialist and programmer Olivier Beauchesne. To find out, he downloaded all of Wikipedia (it’s open-source, after all) then used an algorithm that would assemble 300 topical clusters from popular, related keywords. Then he placed the location of each article in these topical clusters on a map. What he found was astounding...


Via Lauren Moss
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