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Modeling interaction and information updating in networks

Friday, April 15, 11AM – 12PM
ACE 6.304

David Aldous, Statistics, UC-Berkeley

The vague phrase "information flow through networks" could be used in many contexts. Envisaging social networks, here is one possible high level abstraction. Each pair of people interact at random times of arbitrary given rate; when they interact, they update their information according to some given rule. This framework encompasses scores of models and thousands of papers. The talk will present snapshots of 8 models. The usual names of these models are dull and uninformative, so for this talk let me invent more evocative names: Hot Potato, Pandemic, Leveller, Pothead, Deference, Fashionista, Rajaratnam, and Preserving Principia.

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