Privatesquare

Foursquare geeks may enjoy this one:

Aaron has tinkered again to come up with something dubbed Privatesquare . At first glance it’s piggybacking on Foursquare’s API to add public/private things related to check-ins:

Check-ins can be sent on to foursquare (and again re-broadcast to Twitter, etc. or to your followers or just “off the grid”) but the important part is: They don’t have to be. As much as this screenshot of my activity on foursquare cracks me up it’s not actually representative of my life and suggests a particular kind of self-censorship.

But he then goes beyond that to introduce some new taxonomies that should be interesting cases for Explore:

Second, privatesquare has its own internal taxonomy of event-iness. It is:

  • I am here
  • I was there
  • I want to go there
  • again
  • again again
  • again maybe
  • again never

Much more nerdiness into the project if you’re so inclined over at Near Future Lab.

adamlaiacano: Today Tumblr informed users about the Protect-IP Act and Stop Online Privacy Act by “censoring” users’ dashboards. The above plot displays the increase in posts on Tumblr mentioning ‘SOPA’ or ‘censorship’ from the beginning of today up to just a few minutes ago. We launched the announcement just after 11:00 EST and were quickly producing 3.6 calls per second to representatives around the country. Did I mention how awesome Adam is? And he is wicked smaht.
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adamlaiacano:

Today Tumblr informed users about the Protect-IP Act and Stop Online Privacy Act by “censoring” users’ dashboards.

The above plot displays the increase in posts on Tumblr mentioning ‘SOPA’ or ‘censorship’ from the beginning of today up to just a few minutes ago. We launched the announcement just after 11:00 EST and were quickly producing 3.6 calls per second to representatives around the country.

Did I mention how awesome Adam is? And he is wicked smaht.

(via engineering)

Neato. Check-in data + infographics + travel = win. (via david)
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Neato. Check-in data + infographics + travel = win. (via david)

Pretty maps from the WSJ visualizing Foursquare check-ins. I don’t think SF drinks more coffee than NY, just that SFers laze around more as they savor their coffee. New Yorkers are too much in a rush to check in at their coffeeshops.
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Pretty maps from the WSJ visualizing Foursquare check-ins. I don’t think SF drinks more coffee than NY, just that SFers laze around more as they savor their coffee. New Yorkers are too much in a rush to check in at their coffeeshops.

I love how fast the NY Times team is getting up these data viz interactions. Solid work.
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I love how fast the NY Times team is getting up these data viz interactions. Solid work.

I basically go up and down the Bay Corridor for food when I was living in San Francisco. I haven’t explored nearly as much beyond Manhattan and downtown Brooklyn — but hope to change that now that we’re thawing out! Maps are from http://petewarden.github.com/iPhoneTracker/ - it’s pretty cool what your iphone is storing.
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I basically go up and down the Bay Corridor for food when I was living in San Francisco. I haven’t explored nearly as much beyond Manhattan and downtown Brooklyn — but hope to change that now that we’re thawing out!

Maps are from http://petewarden.github.com/iPhoneTracker/ - it’s pretty cool what your iphone is storing.

Critical data (by Tobias Lunchbreath)
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Critical data (by Tobias Lunchbreath)

Chris Harrison, a Ph.D. student in Human-Computer Interaction at Carnegie Mellon, created an infographic of how “he” and “she” are used in Google’s digital books archive, which contains  200 years worth of published material. The graph shows the 120 most common words used after “he” and “she,” ordered in decreasing frequency. Now that is pretty sweet data.
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Chris Harrison, a Ph.D. student in Human-Computer Interaction at Carnegie Mellon, created an infographic of how “he” and “she” are used in Google’s digital books archive, which contains  200 years worth of published material. The graph shows the 120 most common words used after “he” and “she,” ordered in decreasing frequency.

Now that is pretty sweet data.

Paul Butler over at Facebook just coded an interesting visualization of the strength of connections between a sample size of users living in cities across the world: Not only were continents visible, certain international borders were apparent as well. What really struck me, though, was knowing that the lines didn’t represent coasts or rivers or political borders, but real human relationships. #1 - Bravo. #2 - What struck me are the geopolitical implications, particularly: How does this map of connections speak to the value of cross-border communications in certain communities that on the surface seem to use Facebook very little?  In China, the exit point seems to be Hong Kong (or Shenzhen?) to Taiwan.  In Iran, connection to the outside world happens via the Persian Gulf — and it’s interesting that the signal fades near the Turkish border.
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Paul Butler over at Facebook just coded an interesting visualization of the strength of connections between a sample size of users living in cities across the world:

Not only were continents visible, certain international borders were apparent as well. What really struck me, though, was knowing that the lines didn’t represent coasts or rivers or political borders, but real human relationships.

#1 - Bravo.

#2 - What struck me are the geopolitical implications, particularly: How does this map of connections speak to the value of cross-border communications in certain communities that on the surface seem to use Facebook very little?  In China, the exit point seems to be Hong Kong (or Shenzhen?) to Taiwan.  In Iran, connection to the outside world happens via the Persian Gulf — and it’s interesting that the signal fades near the Turkish border.

theatlantic: Richard Florida explores the characteristics of America’s leading social media centers.
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theatlantic:

Richard Florida explores the characteristics of America’s leading social media centers.

(via global-culture)

Holy shit 1962 .. before the Cuban Missile Crisis in 1963?

From pinktentacle.com:

Japanese artist Isao Hashimoto’s “1945-1998” is an animated map showing the 2,053 nuclear explosions that took place around the world during the 20th century, from the detonations at Alamogordo, Hiroshima and Nagasaki in 1945 to the tests conducted by India and Pakistan in 1998.

Skip to the 12 minute mark for a summary and fallout map.. but the video shows you each month of each year since 1945.

Wee Places has a great visualization of your Foursquare Check-Ins. I love that I can see  Trends over time Directional trends Pattern / Size Points of interest On the whole, I can see that my going out behavior in SF is constrained / defined by places accessible to biking — mainly the Market street corridor, places around work, the Mission and Japantown.  It tells me what I already know — I don’t like the Marina or the Haight, I’m a creature of habit, etc.  But while I already know such things, it’s helpful to be shown the data.  It also tells me what I don’t know.. that although I do visit places in the Sunset, Richmond and Golden Gate Park — I’m less likely to check-in to those places.. why? Could be AT&T’s crappy reception in those areas. (thanks @timoni!)
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Wee Places has a great visualization of your Foursquare Check-Ins. I love that I can see 

  • Trends over time
  • Directional trends
  • Pattern / Size
  • Points of interest

On the whole, I can see that my going out behavior in SF is constrained / defined by places accessible to biking — mainly the Market street corridor, places around work, the Mission and Japantown.  It tells me what I already know — I don’t like the Marina or the Haight, I’m a creature of habit, etc.  But while I already know such things, it’s helpful to be shown the data.  It also tells me what I don’t know.. that although I do visit places in the Sunset, Richmond and Golden Gate Park — I’m less likely to check-in to those places.. why?

Could be AT&T’s crappy reception in those areas.

(thanks @timoni!)

lickystickypickyme: The truth about cats and dogs.via
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lickystickypickyme:

The truth about cats and dogs.
via

timoni: via fuckyeahvampires, davidosaurus. A zombie beats a vampire? And a witch? and a werewolf? What the heck kind of zombie IS this? (I’m also pretty sure a centaur could shoot the crap out of a yeti before it got anywhere close.)
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timoni:

via fuckyeahvampires, davidosaurus.

A zombie beats a vampire? And a witch? and a werewolf? What the heck kind of zombie IS this?

(I’m also pretty sure a centaur could shoot the crap out of a yeti before it got anywhere close.)

serenastyle: thedailywhat: Infographic of the Day: The eight biggest burger chains in the US, mapped out by regional influence. Explained: Imagine, if you will, the burger force – a field of energy that radiates from every freshly-cooked patty, earth-penetrating and inverse-squared with distance, compelling the hungry carnivore to seek out and devour the well-done ground beef at the source.Now, wrap that concept in a Star Wars motif – set in the present day, with the second-tier burger chains as the rebels – each, by themselves, without mutual aid, battling the 12,000-plus restaurant McEmpire.  The situation is most dire, for the upstarts control but a few significant islands of territory amid the overwhelming and darkly-rendered influence of the McForce. Embiggen. [good.] an American pandemic ordeal
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serenastyle:

thedailywhat:

Infographic of the Day: The eight biggest burger chains in the US, mapped out by regional influence.

Explained:

Imagine, if you will, the burger force – a field of energy that radiates from every freshly-cooked patty, earth-penetrating and inverse-squared with distance, compelling the hungry carnivore to seek out and devour the well-done ground beef at the source.

Now, wrap that concept in a Star Wars motif – set in the present day, with the second-tier burger chains as the rebels – each, by themselves, without mutual aid, battling the 12,000-plus restaurant McEmpire.  The situation is most dire, for the upstarts control but a few significant islands of territory amid the overwhelming and darkly-rendered influence of the McForce.

Embiggen.

[good.]

an American pandemic ordeal