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Tensors / Multilinear algebra / Materials science / Mechanics / Tensor / Rank / Stress / Singular value decomposition / Homogeneous polynomial / Algebra / Linear algebra / Mathematics


SCENT: Scalable Compressed Monitoring of Evolving Multirelational Social Networks YU-RU LIN, K. SELC ¸ UK CANDAN, and HARI SUNDARAM, Arizona State University LEXING XIE, IBM T. J. Watson Research Center
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Document Date: 2012-01-15 19:15:14


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Hawthorne / SCENT CS / Tempe / New York / /

Company

IBM / ACM Inc. / Multimedia Information Systems / Twitter / Evolving Multirelational Social Networks / Facebook / /

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United States / /

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USD / /

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Facility

Penn Plaza / T. J. Watson Research Center / Arizona State University / /

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IndustryTerm

social media tensors / multi-relational social media data / multirelational social media data / mode-d product / multirelational social networks / social media / time-varying multirelational social networks / internet scale monitoring / continuous online interactions / matrix product / inner product / inner products / stream mining / computational algorithms / social media data / voluminous social media data / social media understanding / social media data sets / online phase / social networks / social media platforms / computing / social network / spectral change detection algorithm / online communication / social media analysis / large scale data management / online social structures / computing the inner product / /

Organization

T. J. Watson Research Center / Arizona State University / /

Person

Golub Loan / HARI SUNDARAM / Van Loan / /

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Position

Evaluation/ methodology General / author / /

ProgrammingLanguage

R / /

ProvinceOrState

New York / Arizona / /

Technology

spectral change detection algorithm / computational algorithms / /

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http /

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