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The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City Justin Cranshaw Raz Schwartz
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Document Date: 2012-05-06 23:06:01


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File Size: 1,70 MB

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City

Birmingham / New York / Pittsburgh / Lawrenceville / London / /

Company

The New York Times / MIT Press / Whole Foods Market / Nokia / Pitney Bowes / Twitter / Google / Facebook / City Planning / The Mosites Company / Wellman / Rainie / Public Spaces Inc. / John Wiley & Sons / /

Country

Jordan / United States / /

Currency

USD / /

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Facility

Liberty Bridge / University of Chicago Press / University /

IndustryTerm

real-estate developer / automated algorithms / geospatial social media data / interactive web-based tool2 / interview protocol / post processing step / location sharing services / Location-based social networks / food / potential applications / location sharing systems / social media / online interactions / retail center / online and offline interactions / effects location technologies / social networks / computing / large real estate development / location-based online social network / /

NaturalFeature

Polish Hill / Lawrenceville/Polish Hill / Monongahela River / /

Organization

Army Research Office / National Science Foundation / MIT / US government / Pittsburgh office of City Planning / Carnegie Mellon / Association for the Advancement / Alfred P. Sloan Foundation / University of Chicago Press / Artificial Copyright Intelligence / School of Computer Science Carnegie Mellon University Pittsburgh / Urban Society / /

Person

Daniel / Justin Miller / Sara / Norman Sadeh / Ai / Shi / Kelley / Justin Cranshaw / Jason I. Hong / Roger / Stanley Milgram / Malik / Claudia / Donna / Ashley / Erin / /

Position

mayor / graphic designer / Butler / consultant / senior planner / senior planner in Pittsburgh City Planning office / cab driver / designer / journalist / video game designer / /

ProvinceOrState

Pennsylvania / /

PublishedMedium

The New York Times / /

Technology

interview protocol / API / effects location technologies / smartphone / clustering algorithm / machine learning / Operating System / smartphones / /

URL

http /

SocialTag