Huge number of Web sites barely visited, report finds
February 25, 2010
Huge number of Web sites barely visited, report finds
Meta question – am I one of these?
Codeorgan.com
February 23, 2010
Get your mind out of the gutter!
Check out codeorgan.com. In their own words:
THE CODEORGAN ANALYSES THE ‘BODY’ CONTENT OF ANY WEB PAGE AND TRANSLATES THAT CONTENT INTO MUSIC. THE CODEORGAN USES A COMPLEX ALGORITHM TO DEFINE THE KEY, SYNTH STYLE AND DRUM PATTERN MOST APPROPRIATE TO THE PAGE CONTENT.
FIRSTLY, THE CODEORGAN SCANS THE PAGE CONTENTS AND REMOVES ALL
CHARACTERS NOT FOUND IN THE MUSICAL SCALE (A TO G), AND THEN ANALYSES THE REMAINING CHARACTERS TO FIND THE MOST COMMONLY USED ‘NOTE’. IF THIS IS AN EVEN NUMBER THE PAGE IS TRANSLATED IN TO THE MAJOR PENTATONIC SCALE OF THAT PARTICULAR NOTE, IT BECOMES MINOR IF THERE IS AN UNEVEN NUMBER.
SECONDLY, THE CODEORGAN DEFINES WHICH SYNTHESIZER TO USE. THIS IS
BASED UPON THE TOTAL NUMBER CHARACTERS USED ON THE WEBPAGE – THERE ARE CURRENTLY 10 SYNTHESIZER EFFECTS AND THE ONE CHOSEN IS PICKED BASED UPON THE PERCENTAGE OF CONTENT.
LASTLY, THE CODEORGAN SELECTS A DRUM LOOP BASED UPON THE RATIO OF CHARACTERS ON THE PAGE VERSUS THE NUMBER OF CHARACTERS THAT ARE ACTUALLY MUSICAL NOTES – THERE ARE CURRENTLY 10 DIFFERENT DRUM LOOPS TO PICK FROM.
GO AND MAKE BEAUTIFUL MUSIC TOGETHER.
THE CODEORGAN PEOPLE
I’ve tried a bunch of these and there is something there. My flickr stream is good music!
Cluster Visualization of Facebook Connections – US 2010
February 23, 2010
Great post over at PeteSearch – he’s taken data from Facebook profiles and overlaid a set of ‘clusters’ on map:
Definitely worth the read for the analysis on how he developed each cluster – “Stayathomia” is my new favorite word now!
