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Network theory / Graph theory / Self-organization / Social information processing / Surveillance / Bayesian network / Social network analysis / Social network / Centrality / Networks / Science / Structure


Applications of Bayesian Belief Networks in Social Network Analysis David Koelle, Jonathan Pfautz, Michael Farry, Zach Cox, Geoffrey Catto, and Joseph Campolongo Charles River Analytics Inc. 625 Mount Auburn Street
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Document Date: 2006-06-26 04:44:48


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City

Orlando / Neal / Norwood / London / San Diego / /

Company

Measuring Personal Social Networks / IBM / Freeman L. C. / Cambridge University Press / Joseph Campolongo Charles River Analytics Inc. / SYSTEM USING BAYESIAN BELIEF NETWORKS / Bayesian Belief Networks / C2 Decision-Support Systems / Coleman / Charles River Analytics Inc. / Uncloaking Terrorist Networks / /

IndustryTerm

link discovery algorithms / Law enforcement personnel / criminal networks / data mining / search capability / potential applications / electronic communications / graph-theortic algorithms / large network / well-formed social network / link discovery tool / graph-theoretic algorithms / social networks / social network / social network algorithms / terrorist networks / /

Organization

Cambridge University / Human Social Intelligence / Human Factors and Ergonomics Society / United States Army / /

Person

Geoffrey Catto / Michael Farry / Saddam Hussein / Jonathan Pfautz / Mohamed Atta / /

Position

social network analyst / future leader / Organizational Leader / /

Product

BNet / /

ProvinceOrState

Southern California / South Carolina / Florida / M. B. / California / Massachusetts / /

PublishedMedium

American Journal of Sociology / /

RadioStation

Katz / /

Region

Southern California / /

Technology

graph-theortic algorithms / Probabilistic link discovery algorithms / graph-theoretic algorithms / data mining / SNA algorithms / social network algorithms / graph-theoretic SNA algorithm / using traditional graph-theoretic SNA algorithm / /

URL

http /

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