Funky

May 26

Cloud city cocktail on top of the MET, looking onto central park. (Taken with instagram)

Cloud city cocktail on top of the MET, looking onto central park. (Taken with instagram)

May 22

Feynman comicbook at the Brooklyn Botanic Garden (Taken with instagram)

Feynman comicbook at the Brooklyn Botanic Garden (Taken with instagram)

May 21

Some fine alcoholic beverages I’ve brought to U.S. shores. (Taken with instagram)

Some fine alcoholic beverages I’ve brought to U.S. shores. (Taken with instagram)

First day of nice weather in Dublin and I’m leaving… (Taken with instagram)

First day of nice weather in Dublin and I’m leaving… (Taken with instagram)

May 07

Taken with instagram

Taken with instagram

May 04

The best (Taken with instagram)

The best (Taken with instagram)

Apr 26

Interesting work, doesn’t make claims that are too bold so should be repeatable. Second author was my first mathematics lecturer in college too.

ilovecharts:

jtotheizzoe:

Using last.fm Data to Map Geographic Flow of Music
By tapping into the last.fm API, these Irish researchers modeled the geographic flow of musical influence. They were able to identify where certain tastes frequently originated, and draw a hierarchy of influential cities (like the chart shown above for North America).
Surprisingly, the size of a city doesn’t associate very strongly with how influential it is. That means that despite its enormous size, NYC isn’t that much more influential than Portland or Austin. There are prevailing theories that large cities are the drivers of cultural invention, but this seems to show (for music, at least) that a connected online world is leveling that playing field.
Also, they have a graph displaying “Normalized Radiohead vs. Normalized Coldplay”, which has to go down as one of the best figures in a research paper, ever. 
(via arXiv)

Very cool paper.

Interesting work, doesn’t make claims that are too bold so should be repeatable. Second author was my first mathematics lecturer in college too.

ilovecharts:

jtotheizzoe:

Using last.fm Data to Map Geographic Flow of Music

By tapping into the last.fm API, these Irish researchers modeled the geographic flow of musical influence. They were able to identify where certain tastes frequently originated, and draw a hierarchy of influential cities (like the chart shown above for North America).

Surprisingly, the size of a city doesn’t associate very strongly with how influential it is. That means that despite its enormous size, NYC isn’t that much more influential than Portland or Austin. There are prevailing theories that large cities are the drivers of cultural invention, but this seems to show (for music, at least) that a connected online world is leveling that playing field.

Also, they have a graph displaying “Normalized Radiohead vs. Normalized Coldplay”, which has to go down as one of the best figures in a research paper, ever. 

(via arXiv)

Very cool paper.

[video]

Apr 23

Home made pizza (Taken with instagram)

Home made pizza (Taken with instagram)

Apr 17

Earl Grey (Taken with instagram)

Earl Grey (Taken with instagram)