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MODEL SELECTION FOR SOCIAL NETWORKS USING GRAPHLETS JEANNETTE JANSSEN, MATT HURSHMAN, AND NAUZER KALYANIWALLA
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Document Date: 2012-03-29 11:15:56

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File Size: 509,75 KB

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City

Middendorf / /

Company

MySpace / Youtube / Facebook / /

Event

Person Communication and Meetings / /

Facility

Princeton University / Brown University / American University / /

IndustryTerm

real power law / classification algorithm / given real world network / social media / on-line social network data / biological networks / protein-protein interaction networks / model generation algorithms / friendship network / power law tail / appropriate algorithm / power law / Web graph / social networks / on-line social networks / social network / breadth-first-search / similar real networks / model selection tool / power law degree distribution / /

Organization

American University / Brown University / MIT / g7 / Princeton University / g7 g8 / /

Person

JEANNETTE JANSSEN / MATT HURSHMAN / Freunde / Mason Porter / NAUZER KALYANIWALLA / /

Position

bad model for the test instance / Porter / suitable model for social networks / /

Product

Weka software / Weka / /

ProgrammingLanguage

Java / Python / /

Technology

sampling algorithm / LADTree algorithm / AdaBoost boosting algorithm / boosting algorithms / Java / LogitBoost algorithm / machine learning / model generation algorithms / classification algorithm / built using the AdaBoost boosting algorithm / /

SocialTag