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Modeling the Dynamics of Composite Social Networks Erheng Zhong† , Wei Fan‡ , Yin Zhu† , Qiang Yang† ‡ † Hong Kong University of Science and Technology, Hong Kong ‡
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AUAI Press / Linkedin / Sina / Neural Information Processing Systems / MIT Press / Degrees (log) (g) Trust / Network / 3M / Twitter / Facebook / AAAI Press / Github / Monte Carlo / /

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Jordan / United States / /

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Hong Kong University of Science / /

IndustryTerm

discussion / composite social networks / parallel computing / static user-item interaction networks / large-scale dynamic composite social networks / individual networks / static and individual networks / online social networks / nested individual networks / data mining / relational networks / dynamic mobile networks / large multi-modal social networks / friends in different networks / multi-relational networks / composite networks / auxiliary networks / social media / inference algorithm / individual social networks / interaction networks / online social media / real-world social networks / social networks / computing / friends applications / /

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j=1 Mt / /

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MIT / U.S. Securities and Exchange Commission / Hong Kong University of Science and Technology / Hong Kong / Huawei Noah’s Ark Lab / /

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J. Wang / L. Xiao / Z. Xu / V / Y. Li / Qiang Yang / Bt / Percentage (log) Percentage / Infinite Time-evolving / Epinion Facebook Xiaonei / Wei Fan / /

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relational model for time-varying relational data analysis / novel nonparametric Bayesian model / RT / first author / forward / /

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T / /

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Machine Learning / /

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inference algorithm / Instant Messaging / Machine learning / Metropolis-Hastings algorithm / Knowledge Management / artificial intelligence / Mobile computing / Data Mining / 3 Algorithm / simulation / 0.3 0.25 1 2 3 Algorithm / /

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