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1 Epidemiological modeling of online social network dynamics
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Document Date: 2014-01-19 20:24:31


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Company

Tomkins / Gillette / Twitter / Google / Facebook / SIAM Journal / Mead / News Corp / MySpace / Oxford University Press Incorporated. / /

Country

United States / /

Currency

USD / /

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Event

M&A / Conference Call / /

Facility

Princeton University / /

IndustryTerm

influenza epidemics using search engine query data / less-tangible applications / search terms / analytical solution / search activity starting / web-based tool / search data / online social network dynamics / online social networks / weekly search query frequency / weekly search query data points / search query frequencies / finance / given search term / social networking services / search algorithm / weekly search query data / search frequency / maximum weekly search queries / search activity / real-time surveillance / online communities / web traffic / search query data / possible slower declining solutions / weekly search / Web Search / search queries / social networks / computational software / social network / immense online social networks / search query / possible irSIR model solutions / mobile telecom networks / search query data occurring / random networks / /

Organization

Department of Mechanical and Aerospace Engineering / Princeton University / National Academy of Sciences / Princeton Graduate School / Oxford University / /

Person

Taylor / Prince / Dean William / Francis / Craig B. Arnold / William B. Russel / /

Position

Prince / simple model of global cascades on random networks / Professor / representative / /

ProgrammingLanguage

MATLAB / /

PublishedMedium

Physica A / Clinical Infectious Diseases / Proceedings of the National Academy of Sciences / /

Technology

search engine / Googles search algorithm / Data Mining / Extending Database Technology / Database Technology / /

URL

http /

SocialTag