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

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.
This is an era of a User Generated Content (UGC) revolution. People are voicing and sharing opinions and experiences.  We research the collective voice of the crowd and study people’s online experiences and choices, interactions, and footprints. 
We research the dynamics of interactions between people and the spreading of information and epidemics in networks. How do networks change and evolve in time? React to external shocks or events? How do diseases, or ideas, spread in temporal networks? Understanding the mechanisms that govern interactions is fundamental to our ability to predict and interpret our social, political, and economical organizations. 
Our lab is sponsored by the Israel Science Foundation (ISF), The Israeli Ministry of Science and Technology, and several industry partners. We are always looking for good students and have openings. 

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