Markov process models for time-varying networks

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• Harry Crane (Rutgers, The State University of New Jersey)
• Tuesday 13 December 2016, 16:45-17:30
• Seminar Room 1, Newton Institute.

If you have a question about this talk, please contact INI IT.

SNAW04 - Dynamic networks

Many models for dynamic networks, such as the preferential attachment model, describe evolution by sequential addition of vertices and/or edges. Such models are not suited to networks whose connectivity varies over time, as in social relationships and other kinds of temporally varying interactions. For modeling in this latter setting, I develop the general theory of exchangeable Markov processes for time-varying networks and discuss relevant consequences.

This talk is part of the Isaac Newton Institute Seminar Series series.

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