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contributed articles doi:Early patterns of Digg diggs and YouTube views reflect long-term user interest. By Gabor Szabo and Bernardo A. Huberman
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Document Date: 2010-07-27 13:43:12

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File Size: 1,50 MB

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City

Palo Alto / New York / San Diego / /

Company

Digg / ACM Press / YouTube / John Wiley & Sons Inc. / Pearson / HP / Hewlett-Packard Labs / /

Country

Netherlands / Canada / /

Currency

USD / /

/

IndustryTerm

Internet access / information processing / social-networking feature / Web Information Service / accessed site / content-distribution networks / constant product / Internet Measurement / breadth-first search / online content consumption / Online Content / keyword search / community site / given Web site / social-networking options / social networking / online videos / content-sharingand-filtering services / Internet Computing / Internet fads / social networks / massive collaborative filtering tool / social network / Web hosts / online ecosystem / user-created video-sharing portals / collaborative portals / /

Organization

National Academy of Sciences / Social Computing Lab / /

Person

Bernardo A. Huberman / Gabor Szabo / Chris Harrison / Alexa Web / Bernardo A. Huberman Predicting / /

Position

research scientist / producer / Director / Representative / /

Product

Digg API / Digg application programming interface / Digg / /

ProvinceOrState

Alberta / New York / /

PublishedMedium

Proceedings of the National Academy of Sciences / /

Technology

API / Digg promotion algorithm / http / /

URL

http /

SocialTag