Map your Linkedin Connection- Personalized Data Visualization of Your Proffessional Network

Wow, this is cool!  I am already a bit of a data-visualization geek, and Linkedin's new lab allows you to explore the interconnectivity within your own Linkedin contacts, which is amazing.  I mapped my personal connections below, and each color roughly corresponds to an industry, an association or social grouping (like college) to which I might belong.  Zoom in and you begin to see affiliations among your various relationships.

http://oi54.tinypic.com/24fbn1s.jpghttp://oi54.tinypic.com/2w3ur2q.jpg

InMaps!

 

 

Journalism in the Age of Data

Journalists are coping with the rising information flood by borrowing data visualization techniques from computer scientists, researchers and artists. Some newsrooms are already beginning to retool their staffs and systems to prepare for a future in which data becomes a medium. But how do we communicate with data, how can traditional narratives be fused with sophisticated, interactive information displays?

Watch the full version with annotations and links at datajournalism.stanford.edu.

Produced during a 2009-2010 John S. Knight Journalism Fellowship at Stanford University.

Trulia.Motivity.Com

real estate and apartments for rent Rent vs. Buy

 

Trulia did not waste any time with its recent acquisition of the mapping startup Motivity.  Go to http://trulia.movity.com/ to check out "Rent" vs. "Sale" costs, mapped by major U.S. cities, pulling from sources, "Trulia.com, Census.gov, RealtyTrac.com, BLS.gov and Moody's Economy.com." I am guessing that Trulia will be using the new data mapping capabilities on a variety of interactive reports in the future.

"Trulia's Q1 2011 Rent vs. Buy Index provides guidance to help you make a smart decision on whether it is better to rent or buy in each of America's 50 largest cities by population."

Other metrics availble are:

U.S. Cities Rent:Buy Ratio Rent:Buy Ratio Rent Price, List Price, Unemployment Foreclosures Job Growth

Qwiki Alpha Launch - Tigho

I just was invited to Qwiki Alpha, the interactive, "information experience' platform that creates multimedia-rich wikis algorithmically out of data sets, instead of by user input and peer review!

Despite simply being fascinating and amazingly cool, Qwiki has profound implications upon the future of search and data organization.

Please note that according to Qwiki:

1. This experience was not generated by humans. It was generated by machines.

2. This experience is completely curated.

3. The experience is completely interactive

I had written about how exited I was about the possibilities of Qwiki a few weeks ago, but apparently they have now launched the Alpha version to select users. Also on Friday, Qwiki also announced a round of funding from tech-celebs Eduardo Saverin (Facebook co-founder) and Jawed-Karim (YouTube co-founder).

I cannot wait to test this out more, but see below for an entirely computer generated entry about the word "Wiki."

Can Google Get Its Mojo Back?

A spectre is haunting Mountain View. No, not bed bugs: bit rot. Google is in serious decline.

I don’t see how they can deny it. They have famously always been a data-driven organization, and the data is compelling. Business Insider’s list of the 15 biggest tech flops of 2010 cited no fewer than four from Google: Buzz, Wave, Google TV, and the Nexus One. Bizarre errors have erupted in Google Maps. Many of its best engineers are leaving. Influential luminaries like Vivek Wadhwa, Jeff Atwood, Marco Arment and Paul Kedrosky (way ahead of the curve) say their core search service is much degraded from its glory years, and the numbers bear this out; after years of unassailable dominance, Google’s search-market share is diminishing—it dropped an eyebrow-raising 1.2% just from October to November—while Microsoft’s Bing, whose UI Google tried and embarrassingly failed to copy earlier this year, is on the rise.

Even their money fount, AdWords, is problematic. An illustrative anecdote: I recently experimented with a $100 free certificate for my own pet app, and found my ad got stuck “In Review” indefinitely. According to users on AdWords’ discussion boards, this is common, and the only way to fix it is to file a help request. I did, and the problem was soon repaired—but what happened to the speedy algorithmic solutions for which Google is famous?

The general tone on the AdWords forums is exactly like that on those devoted to the other Google service I use a lot, App Engine: users on both frequently complain about the way Google neglects and/or outright ignores them. I like App Engine a lot, but it’s prone to sporadic bursts of inexplicable behaviour, and some developers are abandoning it because of Google’s perceived reluctance or inability to fix its bugs and quirks. Another example: a bug in Android’s default SMS app which sent text messages to incorrect recipients festered for six months until a spate of high-profile coverage finally forced them to fix it. How can they neglect problems like that in their only big hit of the last five years? Never mind don’t be evil—what happened to pay attention?

Once upon a time, Google was the coolest place for a techie to work. Not any more. While I can’t quantify this, I’m confident that most engineers will agree: somehow, over the last 18 months, their aura has faded and their halo has fallen. Once their arrogance was intimidating and awesome. Now it just seems clueless.

I feel a little bad being this critical, because I am—or was—a giant Google fan. I admire their China stance, and the way that they innovate like crazy and constantly take chances, not all of which pay off. I had an Android before Android was cool. But this is no mere losing streak; this is systematic degradation. They seem to be rotting from the inside out.

What happened? The same cancer that sickened Microsoft: bureaucracy. A recent NYT article claims that “the bleak reality of corporate growth” is that “efficiencies of scale are almost always outweighed by the burdens of bureaucracy.” A famous (and brilliant) essay by Moishe Lettvin, a former MS employee, explains why Windows Vista was such a turkey: at the time, every decision—and every line of code—had to filter through seven layers of management.

My sources tell me that since then Microsoft has become much more efficient, and their recent successes—XBox, Kinect, Windows 7, Windows Phone, Bing—testify to this. Kudos to them. Can Google do the same? Let’s hope so. But their situation is more difficult and dangerous: they could conceivably lose 90% of their business in the space of a few months, if a qualitatively better search engine comes along. That’s not likely to happen, but it could . . . and I’m almost beginning to hope that it does.

It’s not like they’re Yahoo!, halfway past the point of no return. Google is still a giant money machine full of brilliant engineers. Google Voice could be huge. If the rumors of their super-secret augmented-reality app are true, they have another hit in the wings. Even their self-driving cars make strategic sense to me. Still, the trajectory is clear; they’re in decline. They seem to have finally stopped believing their own press releases and realized that they have a problem—but is it too late? Has Google grown too big to succeed? I fear that the answer is yes