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The structure and dynamics of networks

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You scroll through your Facebook feed, checking the latest updates on the spread of Ebola and other current events.

How is network analysis relevant to this? Come to find out the answer to this question and more, such as how one can use graph centrality measures and clustering to extract meaning from networks. I will present a few selected network models, and share some ideas for efficiently implementing graph algorithms in a distributed system. I will also give a brief glimpse into the intriguing topics of temporal networks and information diffusion.

This talk is part of the Churchill CompSci Talks series.

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