facebook metrics economic viability and sponsorship

google networth

Google Trends

Google Trends analyzes a portion of Google web searches to compute how many searches have been done for the terms you enter, relative to the total number of searches done on Google over time. We then show you a graph with the results – our Search Volume Index graph.
Located beneath the Search Volume Index graph is our News reference volume graph. This graph shows you the number of times your topic appeared in Google News stories. When Google Trends detects a spike in the volume of news stories for a particular search term, it labels the graph and displays the headline of an automatically selected Google News story written near the time of that spike. Currently, only English-language headlines are displayed, but we hope to support non-English headlines in the future.

Google investment potention on eminent domain on vacant lots along Canal Street

Program

Vacant Lots and Empty Store Fronts along Canal

Areas of oppertunity to utilize social networking media as and open source space in order to engage neighborhoods bounded by Canal Street

An art-ed column from the NY times about the closing of the couterfeit triangle on Canal Streethttp://www.nytimes.com/2010/01/17/opinion/17kalman.html

Canal Street Closings

http://www.nytimes.com/2008/02/27/nyregion/27chinatown.html?_r=1

NY Times article on the closings on Canal Street

The Network Field Precedence: The Blur Building

Attached is my analysis on the virtual network field as projection medium from Diller and Scofidio's Blur Building. The framework allows for the mist and the mist acts as a projection medium by reflecting the light emitted from the brain coats. The Brain coats are tied into the survey prior to entry and the information projected onto it is managed by an external server.

Twitter: Social Networking Applications Effect on Physical Space p.1

Macrosense/City Sense Video

The video itself was created from the Sense Networks Inc.

Essentially a video diagramming how the networks are created over the city of San Fransico. What is interesting is how each physical location is automatically tags the user and the tag is based on frequency of visits and historical connotations based on information from the internet (news blogs etc) see diagrams below.

Citysense: tracking identity mapping

attached is the operational diagram to Citysense application. Essentially it is fundamentally different from twitter and foursquare in that it is not a identity projection or location projection medium, rather it is purely a tracking and sensing medium for the user, that gathers aggregate data from habits of the user and cross references that with information from extracted from user reviews (ie yelp and google)

essentially an abstracted version of amazon.com internet marketing that tracks overall city activity specific to the individual user.

Sense Networks: City Sense

Foursquare: diagraming GPS tracking projection data

DRAFT 1.1 06.14.2010.

projection medium operation flow chart.

Foursquare Ideogram