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Link analysis / Crowdsourcing / PageRank / Reputation management / Search engine optimization / HTTP referer / Webgraph / Random walk / Entropy / Statistics / Markov models / Probability and statistics


Modeling Traffic on the Web Graph Mark R. Meiss1,3 , Bruno Gonc¸alves1,2,3 , Jos´e J. Ramasco4 , Alessandro Flammini1,2 , and Filippo Menczer1,2,3,4 1 2
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Document Date: 2014-09-06 23:20:53


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File Size: 470,74 KB

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City

Turin / /

Company

USA 4 Complex Networks / ABC / Systems Lagrange Laboratory / /

Country

United States / Italy / /

Facility

Indiana University / Pervasive Technology Institute / /

IndustryTerm

Web traffic data / power-law distribution / net energy loss / stored energy / Web applications / target server / Web Graph Mark R. / Web navigation / energy level / Web traffic / search-engine friendly design principles / aggregate and individual Web traffic data / search engines / Web browsing / expected energy value / artificial networks / scale-free network / tracking software / Web activity / power law / Web graph / individual Web / important practical applications / power-law tail / search results / energy / /

Organization

School of Informatics and Computing / UCLA / Indiana University / Bloomington / USA Center for Complex Networks / ISI Foundation / Pervasive Technology Institute / /

Person

Web / Bruno Gonc / /

Position

remarkably influential model of Web / basic model of Web / walker / representative / Forward / null model for evaluation / /

Product

Shannon / /

ProvinceOrState

Indiana / /

Technology

Molloy-Reed algorithm / HTTP / caching / simulation / CGI / /

SocialTag