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Big-data lab for the research of     Social Content & Networks

Headed by Osnat (Ossi) Mokryn, SCAN is a big-data lab for the study of temporal networks and online social media. We develop and employ models to research online human footprints. We study big data gathered from user-generated content (online reviews and other social media) and evolving social and complex networks, utilizing machine learning, statistical, quantitative, and visualization tools.

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Research Highlights

Emotional experiences extracted from user-generated content

Size Agnostics Change Point Detection (CPD) Framework

Trends in evolving networks

Latent Personal Analysis (LPA) and its uses 

Blog Updates

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