Austin / Taipei / New York / Rome / Bellevue / Vancouver / /
Company
Cambridge University Press / PLoS Comp / /
Country
Taiwan / Italy / N. Korea / Canada / North Korea / / /
Event
Employment Change / /
Facility
Digital Technology Center University of Minnesota / /
IndustryTerm
actual network / computationally-efficient proximal gradient algorithm / iterative shrinkage-thresholding algorithm / diffusion networks / online news articles / dynamic and sparse networks / large-scale web data / hidden needle-sharing networks / iterative shrinkage-thresholding algorithms / search keyword / association networks / healthcare initiatives / vector inner-products / dynamic iterative shrinkage-thresholding algorithm / large networks / line search / iterative thresholding algorithm / web context / time-varying diffusion networks / mainstream media website / estimation algorithms / unknown network / online campaign / proximal operator / online media / search engine rank / trivial solution / time-varying networks / real-time algorithm / Web Search / social networks / gradient algorithm / online search rank / time-varying network / stochastic-gradient descent algorithm / inferred dynamic network / social media advertisers / directed and cyclic networks / /
OperatingSystem
Unix / /
Organization
Cambridge University / National Science Foundation / University of Minnesota / Minneapolis / Georgios B. Giannakis Department of Electrical and Computer Engineering / /
Person
Kim Jong-un / Gonzalo Mateos / Bt / Brian Baingana / Kim Jong-il / Kim Jong / Georgios B. Giannakis / /
Position
current leader / vice chairman / still representative / ruler / /
Dynamic Structural Equation Models for Tracking Cascades Over Social Networks Brian Baingana, Gonzalo Mateos and Georgios B. Giannakis Department of Electrical and Computer Engineering and Digital Technology Center Unive