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Searching for “Familiar Strangers” on Blogosphere: Problems and Challenges Nitin Agarwal*, Huan Liu*, John Salerno+, and Philip Yu# * Computer Science & Engineering, School of Computing Informatics
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Document Date: 2007-09-27 14:35:15


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File Size: 260,32 KB

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City

Tempe / Rome / /

Company

Amazon / Google / Facebook / MySpace / IBM / /

Country

United States / India / /

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Facility

Computing Informatics Arizona State University / IBM T.J. Watson Research Center / /

IndustryTerm

classic data mining tasks / association rule mining / social networking sites / search combining link / social networking site / meta-search engines / potential solutions / disparate networking sites / exhaustive search / exhaustive search process / induction-based learning algorithms / social media / inductive algorithms / web search results / search engines / online media / directed search / search cost / scale-free network / mining / power law / personalized services / random network / social network / Web technologies / power law distribution / fragmented Web / unbearable search cost / /

Organization

U.S. Securities and Exchange Commission / Arizona State University / Eventbased Information Organization / Air Force Research Lab / /

Person

Tim O'Reilly / John Salerno / Nitin Agarwal / Huan Liu / Chris Anderson / Philip Yu / Mark Wilkinson / Stanley Milgram / Bush / J. Allan / Thomas Hentrich / Idris Mootee / /

Position

editor / Short Head / President / author / representative / /

ProvinceOrState

New York / Arizona / /

Technology

induction-based learning algorithms / html / Web technologies / data mining / business intelligence / /

URL

http /

SocialTag